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AI Safety Best PracticesKey Takeaways AI agents are software programs that can perform tasks autonomously (including sending transactions, interacting with crypto wallets, and executing trades), which makes safety mandatory. AI systems can be manipulated through prompt injection attacks, cryptocurrency scams, and deceptive inputs that cause them to act against the user's interests. AI-generated outputs can be incorrect, outdated, or misleading. It's better to treat AI recommendations as one input among many, not as financial advice. Limiting the permissions granted to AI agents (including access to funds, wallets, and sensitive data) is one of the most effective ways to reduce risk. It's important to understand what an AI agent can and cannot do before deploying it in any context, including crypto. Introduction Artificial intelligence (AI) is increasingly being used across the crypto industry, from trading bots and portfolio trackers to on-chain analytics tools and conversational assistants. With the rise of AI agents, users can now ask AI to perform tasks on its own, over longer periods, and with little human input. An AI agent can monitor markets around the clock, execute tasks based on changing conditions, and handle complex multi-step workflows that would be time-consuming or impractical to manage manually. However, the same properties that make AI agents powerful also introduce new risks. An agent that can act on your behalf can also make mistakes, be manipulated, or be exploited. This is especially risky in crypto because most blockchain transactions cannot be reversed. This article explains the key risks associated with using AI agents in crypto and offers practical best practices for using AI responsibly. What Makes AI Agents Different Traditional software follows fixed rules. If a condition is met, it takes a defined action. AI agents operate differently: they can assess a situation, plan a sequence of steps, and execute actions based on that assessment (even in scenarios they were not explicitly programmed to handle). In the crypto space, this might look like an agent that monitors your portfolio and rebalances holdings when certain market conditions are met. It could also be an agent that searches for yield opportunities across decentralized finance (DeFi) protocols and executes transactions accordingly. The agent is not just retrieving information. It is taking actions with real-world consequences. This autonomy is what creates the new risk surface. The more an AI agent can do without your approval at every step, the more important it is to know what guardrails are in place, what it can access, and how it behaves when something goes wrong. How AI Agents Can Be Exploited AI agents can fail or be misused in several ways that are specific to their design and the crypto environment. Hallucinations and factual errors AI language models can generate confident-sounding responses that are factually wrong. In a crypto context, this might mean citing an incorrect contract address, misquoting a token's supply, or misrepresenting the rules of a protocol. Acting on wrong information from an AI can lead to financial loss. Direct and indirect prompt injection Prompt injection is a technique where malicious instructions cause the AI agent to take unintended or harmful actions. There are two main types: Direct prompt injection occurs when an attacker deliberately feeds malicious instructions to the agent through user-facing inputs. For example, by typing a command that tells the agent to ignore its safety rules. Indirect prompt injection is often more dangerous and harder to detect. It occurs when malicious instructions are embedded in external content that the agent processes during normal operation (such as a website, a document, or a message). The user may not even know the agent encountered these hidden instructions. Indirect prompt injection is especially concerning in crypto. For example, an agent browsing the web for market data could encounter a page with hidden text instructing it to transfer funds to an attacker-controlled address. This is a well-documented vulnerability in agentic AI systems and is especially relevant when agents have permission to execute transactions. Phishing and social engineering AI agents can be used as a vector for phishing attacks. Bad actors can create convincing AI-generated messages, impersonate legitimate services, or build fraudulent interfaces that mimic trusted platforms. Social engineering tactics that traditionally targeted humans are also being adapted to exploit AI systems. For example, attackers can craft inputs that manipulate an agent into revealing sensitive data or bypassing its safety checks. Data exfiltration AI agents that handle sensitive data (such as wallet addresses, API keys, or transaction history) can be tricked into sending that information to attacker-controlled servers. This can happen through prompt injection, compromised tools, or malicious integrations that quietly redirect data. Data exfiltration is different from phishing. It can happen silently in the background, without the user seeing anything unusual. Malware and compromised tools AI agent tools (including plugins, integrations, and APIs) can themselves be compromised. Installing an unofficial or unverified AI plugin could expose your wallet connections and credentials to malware. AI agents also often choose which tools to use based on descriptions or metadata. Attackers can hide malicious instructions inside a tool's description. When the agent reads that description, it may behave in unexpected ways. This is sometimes referred to as tool poisoning; the tool's code may work normally, but its description tricks the agent into doing something harmful. This risk is similar to downloading unverified software, but may be less obvious because AI tools often appear polished and functional even when malicious. Smart contract execution risks When an AI agent interacts with smart contracts, it may execute transactions automatically based on its reasoning. Bugs in the AI's logic, misread contract conditions, or unexpected on-chain state can result in unintended transactions. Unlike traditional financial systems, most blockchain transactions are final and irreversible. Rug pulls and scam protocols An AI agent tasked with finding yield or investment opportunities may interact with malicious protocols. A rug pull occurs when the creators of a project withdraw all liquidity or funds, leaving other participants with worthless tokens. AI agents are not necessarily better than humans at spotting fraudulent projects. They may also act faster, which reduces the time available for human review before funds are committed. Over-permissioning One of the most common practical risks is granting an AI agent more access than it actually needs. If an agent has full wallet access, broad API permissions, or the ability to approve transactions without confirmation, a single mistake or exploit can cause much more damage. Limiting permissions to read-only or specific actions helps reduce this risk. Memory poisoning Some AI agents maintain persistent memory across sessions to improve their performance over time. However, this memory can be targeted by attackers. If malicious data is injected into an agent's memory during one session (for example, through prompt injection), it can change how the agent behaves in future sessions — even after the original threat is gone. This makes memory poisoning a subtle but persistent risk. Best Practices for Using AI Safely The following practices can meaningfully reduce the risks of using AI agents in crypto. Understand what the agent can access Before deploying any AI agent, review what permissions it has. Can it read your wallet balance? Approve transactions? Access your API keys? The clearer you are about what an agent can do, the better positioned you are to limit its access to only what is necessary. Apply the principle of least privilege Give AI agents the minimum permissions required to complete their intended task. If an agent only needs to read market data, do not grant it transaction-signing permissions. This limits the damage if the agent is compromised, makes an error, or is manipulated. Never share your private key or seed phrase No legitimate AI tool, agent, or service requires access to your private key or seed phrase. These grant full control of your funds. Any AI or service that asks for them should be treated as a red flag. Keep these credentials offline and never enter them into any third-party tool. Verify outputs before acting on them AI-generated recommendations (including contract addresses, protocol names, token details, and market data) should be checked independently before you act on them. Cross-check against official sources, block explorers, and the protocol's own documentation. Do not treat AI output as a substitute for your own research. Use dedicated wallets for AI agent interactions Consider setting up a separate wallet with limited funds specifically for interactions that involve AI agents. If the agent makes an error or is compromised, your potential loss is limited. Keep the bulk of your holdings in a cold wallet that is entirely disconnected from any automated system. Review and revoke approvals regularly Check the smart contract approvals and connected applications linked to your wallets from time to time. AI agents may request approvals during normal operation that persist long after they are needed. Removing unnecessary approvals reduces the chance of an outdated or compromised connection being exploited later. Most wallets and block explorers offer tools that let you inspect and manage active approvals. Keep AI tools updated Security vulnerabilities in AI tools and their underlying dependencies are discovered regularly. Use only well-maintained tools from reputable sources, and keep them up to date. Be cautious about third-party plugins and integrations, particularly those with access to on-chain functionality. Monitor agent activity If an AI agent is taking actions on your behalf over time, review its activity logs regularly. Look for unexpected transactions, unusual permission requests, or outputs that seem inconsistent with its intended purpose. Early detection of anomalous behavior can prevent larger losses. Consider sandboxed or isolated environments If you have the technical skills, consider running AI agents in a sandboxed or isolated environment. This means the agent has limited access to your broader system, files, and network. Even if the agent is manipulated, a sandboxed setup helps contain the potential impact. Be cautious with agents that use persistent memory If your AI agent stores information across sessions, be aware that this memory can be a target for manipulation. Review and clear the agent's stored memory from time to time, especially if you notice unusual behavior. Agents that allow you to inspect and manage their memory offer better transparency and control. Maintain human oversight for consequential decisions AI agents work best as tools that support human decision-making, not replace it. High-stakes or irreversible actions (such as large transactions, authorizing new smart contract permissions, or interacting with an unfamiliar protocol) should require explicit human confirmation before proceeding. This simple pause point is one of the most effective safeguards available. FAQ Are AI agents safe to use with crypto? AI agents can be used safely, but they require careful setup and ongoing oversight. The key factors are: the permissions granted to the agent, the security of the underlying tool, and how you use its outputs. An agent with read-only access poses far less risk than one authorized to sign transactions autonomously. As with any tool in crypto, the level of risk is largely shaped by how the user configures and monitors it. What is prompt injection and why does it matter? Prompt injection is an attack technique where malicious instructions are embedded in data that an AI agent reads or processes. For example, a compromised webpage or document might contain hidden text instructing the agent to send funds to a specific address. Because AI agents act on the content they process, this can lead to unintended actions. Awareness of this vulnerability is important when using agents that browse the web, read user-provided content, or interact with external APIs. Can AI agents be used to run cryptocurrency scams? Yes. AI-generated content, deepfakes, and conversational agents can all be used to make DeFi scams and other cryptocurrency fraud more convincing. Scammers can use AI to impersonate trusted figures, generate fake project documentation, or automate large-scale phishing campaigns. The same critical thinking and verification habits that apply to other online interactions also apply when evaluating AI-generated content or recommendations. How do I know if an AI tool is trustworthy? Look for tools that are open-source or have been audited by reputable third parties. Check whether the developers are publicly known and accountable. Review what data the tool collects and how it is used. Be cautious about tools that request broad permissions, are not actively maintained, or have limited documentation about how they work. If a tool cannot clearly explain what it does and what its limitations are, it deserves extra scrutiny. What should I do if I think an AI agent made an unauthorized transaction? Act quickly. Revoke the agent's access to your wallet immediately. This can typically be done through your wallet's connected applications settings or by revoking smart contract approvals using a tool designed for that purpose. Assess the damage and document what happened. If the platform providing the AI tool has a support team or bug bounty program, report the incident. For significant losses, consult legal or regulatory resources available in your jurisdiction. Closing Thoughts AI agents represent a meaningful shift in how people can interact with crypto markets and on-chain systems. Their ability to act autonomously, process large amounts of data, and execute tasks in real time makes them useful tools for a wide range of applications. However, autonomy without oversight is a risk in any context. In crypto, where transactions are generally irreversible and the threat landscape is sophisticated, that risk deserves serious attention. The goal is not to avoid AI tools entirely, but to use them with a clear understanding of what they can do, what they can access, and how they can fail. Applying basic security principles (least privilege, independent verification, human oversight for consequential actions, and secure custody of credentials) goes a long way toward making AI a useful asset rather than a liability. Further Reading What Are AI Agents? How to Use AI for Crypto Trading What Is Phishing and How Does It Work? 5 Tips to Secure Your Cryptocurrency Holdings How to Spot Scams in Decentralized Finance (DeFi) Disclaimer: This content is presented to you on an "as is" basis for general information and educational purposes only, without representation or warranty of any kind. It should not be construed as financial, legal or other professional advice, nor is it intended to recommend the purchase of any specific product or service. You should seek your own advice from appropriate professional advisors. Where the content is contributed by a third party contributor, please note that those views expressed belong to the third party contributor, and do not necessarily reflect those of Binance Academy. Digital asset prices can be volatile. The value of your investment may go down or up and you may not get back the amount invested. You are solely responsible for your investment decisions and Binance Academy is not liable for any losses you may incur. For more information, see our Terms of Use, Risk Warning and Binance Academy Terms.

AI Safety Best Practices

Key Takeaways

AI agents are software programs that can perform tasks autonomously (including sending transactions, interacting with crypto wallets, and executing trades), which makes safety mandatory.

AI systems can be manipulated through prompt injection attacks, cryptocurrency scams, and deceptive inputs that cause them to act against the user's interests.

AI-generated outputs can be incorrect, outdated, or misleading. It's better to treat AI recommendations as one input among many, not as financial advice.

Limiting the permissions granted to AI agents (including access to funds, wallets, and sensitive data) is one of the most effective ways to reduce risk.

It's important to understand what an AI agent can and cannot do before deploying it in any context, including crypto.

Introduction

Artificial intelligence (AI) is increasingly being used across the crypto industry, from trading bots and portfolio trackers to on-chain analytics tools and conversational assistants. With the rise of AI agents, users can now ask AI to perform tasks on its own, over longer periods, and with little human input.

An AI agent can monitor markets around the clock, execute tasks based on changing conditions, and handle complex multi-step workflows that would be time-consuming or impractical to manage manually.

However, the same properties that make AI agents powerful also introduce new risks. An agent that can act on your behalf can also make mistakes, be manipulated, or be exploited. This is especially risky in crypto because most blockchain transactions cannot be reversed.

This article explains the key risks associated with using AI agents in crypto and offers practical best practices for using AI responsibly.

What Makes AI Agents Different

Traditional software follows fixed rules. If a condition is met, it takes a defined action. AI agents operate differently: they can assess a situation, plan a sequence of steps, and execute actions based on that assessment (even in scenarios they were not explicitly programmed to handle).

In the crypto space, this might look like an agent that monitors your portfolio and rebalances holdings when certain market conditions are met. It could also be an agent that searches for yield opportunities across decentralized finance (DeFi) protocols and executes transactions accordingly. The agent is not just retrieving information. It is taking actions with real-world consequences.

This autonomy is what creates the new risk surface. The more an AI agent can do without your approval at every step, the more important it is to know what guardrails are in place, what it can access, and how it behaves when something goes wrong.

How AI Agents Can Be Exploited

AI agents can fail or be misused in several ways that are specific to their design and the crypto environment.

Hallucinations and factual errors

AI language models can generate confident-sounding responses that are factually wrong. In a crypto context, this might mean citing an incorrect contract address, misquoting a token's supply, or misrepresenting the rules of a protocol. Acting on wrong information from an AI can lead to financial loss.

Direct and indirect prompt injection

Prompt injection is a technique where malicious instructions cause the AI agent to take unintended or harmful actions. There are two main types:

Direct prompt injection occurs when an attacker deliberately feeds malicious instructions to the agent through user-facing inputs. For example, by typing a command that tells the agent to ignore its safety rules.

Indirect prompt injection is often more dangerous and harder to detect. It occurs when malicious instructions are embedded in external content that the agent processes during normal operation (such as a website, a document, or a message). The user may not even know the agent encountered these hidden instructions.

Indirect prompt injection is especially concerning in crypto. For example, an agent browsing the web for market data could encounter a page with hidden text instructing it to transfer funds to an attacker-controlled address. This is a well-documented vulnerability in agentic AI systems and is especially relevant when agents have permission to execute transactions.

Phishing and social engineering

AI agents can be used as a vector for phishing attacks. Bad actors can create convincing AI-generated messages, impersonate legitimate services, or build fraudulent interfaces that mimic trusted platforms.

Social engineering tactics that traditionally targeted humans are also being adapted to exploit AI systems. For example, attackers can craft inputs that manipulate an agent into revealing sensitive data or bypassing its safety checks.

Data exfiltration

AI agents that handle sensitive data (such as wallet addresses, API keys, or transaction history) can be tricked into sending that information to attacker-controlled servers. This can happen through prompt injection, compromised tools, or malicious integrations that quietly redirect data.

Data exfiltration is different from phishing. It can happen silently in the background, without the user seeing anything unusual.

Malware and compromised tools

AI agent tools (including plugins, integrations, and APIs) can themselves be compromised. Installing an unofficial or unverified AI plugin could expose your wallet connections and credentials to malware.

AI agents also often choose which tools to use based on descriptions or metadata. Attackers can hide malicious instructions inside a tool's description. When the agent reads that description, it may behave in unexpected ways. This is sometimes referred to as tool poisoning; the tool's code may work normally, but its description tricks the agent into doing something harmful.

This risk is similar to downloading unverified software, but may be less obvious because AI tools often appear polished and functional even when malicious.

Smart contract execution risks

When an AI agent interacts with smart contracts, it may execute transactions automatically based on its reasoning. Bugs in the AI's logic, misread contract conditions, or unexpected on-chain state can result in unintended transactions. Unlike traditional financial systems, most blockchain transactions are final and irreversible.

Rug pulls and scam protocols

An AI agent tasked with finding yield or investment opportunities may interact with malicious protocols. A rug pull occurs when the creators of a project withdraw all liquidity or funds, leaving other participants with worthless tokens.

AI agents are not necessarily better than humans at spotting fraudulent projects. They may also act faster, which reduces the time available for human review before funds are committed.

Over-permissioning

One of the most common practical risks is granting an AI agent more access than it actually needs. If an agent has full wallet access, broad API permissions, or the ability to approve transactions without confirmation, a single mistake or exploit can cause much more damage. Limiting permissions to read-only or specific actions helps reduce this risk.

Memory poisoning

Some AI agents maintain persistent memory across sessions to improve their performance over time. However, this memory can be targeted by attackers.

If malicious data is injected into an agent's memory during one session (for example, through prompt injection), it can change how the agent behaves in future sessions — even after the original threat is gone. This makes memory poisoning a subtle but persistent risk.

Best Practices for Using AI Safely

The following practices can meaningfully reduce the risks of using AI agents in crypto.

Understand what the agent can access

Before deploying any AI agent, review what permissions it has. Can it read your wallet balance? Approve transactions? Access your API keys? The clearer you are about what an agent can do, the better positioned you are to limit its access to only what is necessary.

Apply the principle of least privilege

Give AI agents the minimum permissions required to complete their intended task. If an agent only needs to read market data, do not grant it transaction-signing permissions. This limits the damage if the agent is compromised, makes an error, or is manipulated.

Never share your private key or seed phrase

No legitimate AI tool, agent, or service requires access to your private key or seed phrase. These grant full control of your funds. Any AI or service that asks for them should be treated as a red flag. Keep these credentials offline and never enter them into any third-party tool.

Verify outputs before acting on them

AI-generated recommendations (including contract addresses, protocol names, token details, and market data) should be checked independently before you act on them. Cross-check against official sources, block explorers, and the protocol's own documentation. Do not treat AI output as a substitute for your own research.

Use dedicated wallets for AI agent interactions

Consider setting up a separate wallet with limited funds specifically for interactions that involve AI agents. If the agent makes an error or is compromised, your potential loss is limited. Keep the bulk of your holdings in a cold wallet that is entirely disconnected from any automated system.

Review and revoke approvals regularly

Check the smart contract approvals and connected applications linked to your wallets from time to time. AI agents may request approvals during normal operation that persist long after they are needed. Removing unnecessary approvals reduces the chance of an outdated or compromised connection being exploited later. Most wallets and block explorers offer tools that let you inspect and manage active approvals.

Keep AI tools updated

Security vulnerabilities in AI tools and their underlying dependencies are discovered regularly. Use only well-maintained tools from reputable sources, and keep them up to date. Be cautious about third-party plugins and integrations, particularly those with access to on-chain functionality.

Monitor agent activity

If an AI agent is taking actions on your behalf over time, review its activity logs regularly. Look for unexpected transactions, unusual permission requests, or outputs that seem inconsistent with its intended purpose. Early detection of anomalous behavior can prevent larger losses.

Consider sandboxed or isolated environments

If you have the technical skills, consider running AI agents in a sandboxed or isolated environment. This means the agent has limited access to your broader system, files, and network. Even if the agent is manipulated, a sandboxed setup helps contain the potential impact.

Be cautious with agents that use persistent memory

If your AI agent stores information across sessions, be aware that this memory can be a target for manipulation. Review and clear the agent's stored memory from time to time, especially if you notice unusual behavior. Agents that allow you to inspect and manage their memory offer better transparency and control.

Maintain human oversight for consequential decisions

AI agents work best as tools that support human decision-making, not replace it. High-stakes or irreversible actions (such as large transactions, authorizing new smart contract permissions, or interacting with an unfamiliar protocol) should require explicit human confirmation before proceeding. This simple pause point is one of the most effective safeguards available.

FAQ

Are AI agents safe to use with crypto?

AI agents can be used safely, but they require careful setup and ongoing oversight. The key factors are: the permissions granted to the agent, the security of the underlying tool, and how you use its outputs.

An agent with read-only access poses far less risk than one authorized to sign transactions autonomously. As with any tool in crypto, the level of risk is largely shaped by how the user configures and monitors it.

What is prompt injection and why does it matter?

Prompt injection is an attack technique where malicious instructions are embedded in data that an AI agent reads or processes. For example, a compromised webpage or document might contain hidden text instructing the agent to send funds to a specific address.

Because AI agents act on the content they process, this can lead to unintended actions. Awareness of this vulnerability is important when using agents that browse the web, read user-provided content, or interact with external APIs.

Can AI agents be used to run cryptocurrency scams?

Yes. AI-generated content, deepfakes, and conversational agents can all be used to make DeFi scams and other cryptocurrency fraud more convincing. Scammers can use AI to impersonate trusted figures, generate fake project documentation, or automate large-scale phishing campaigns.

The same critical thinking and verification habits that apply to other online interactions also apply when evaluating AI-generated content or recommendations.

How do I know if an AI tool is trustworthy?

Look for tools that are open-source or have been audited by reputable third parties. Check whether the developers are publicly known and accountable. Review what data the tool collects and how it is used.

Be cautious about tools that request broad permissions, are not actively maintained, or have limited documentation about how they work. If a tool cannot clearly explain what it does and what its limitations are, it deserves extra scrutiny.

What should I do if I think an AI agent made an unauthorized transaction?

Act quickly. Revoke the agent's access to your wallet immediately. This can typically be done through your wallet's connected applications settings or by revoking smart contract approvals using a tool designed for that purpose.

Assess the damage and document what happened. If the platform providing the AI tool has a support team or bug bounty program, report the incident. For significant losses, consult legal or regulatory resources available in your jurisdiction.

Closing Thoughts

AI agents represent a meaningful shift in how people can interact with crypto markets and on-chain systems. Their ability to act autonomously, process large amounts of data, and execute tasks in real time makes them useful tools for a wide range of applications.

However, autonomy without oversight is a risk in any context. In crypto, where transactions are generally irreversible and the threat landscape is sophisticated, that risk deserves serious attention. The goal is not to avoid AI tools entirely, but to use them with a clear understanding of what they can do, what they can access, and how they can fail.

Applying basic security principles (least privilege, independent verification, human oversight for consequential actions, and secure custody of credentials) goes a long way toward making AI a useful asset rather than a liability.

Further Reading

What Are AI Agents?

How to Use AI for Crypto Trading

What Is Phishing and How Does It Work?

5 Tips to Secure Your Cryptocurrency Holdings

How to Spot Scams in Decentralized Finance (DeFi)

Disclaimer: This content is presented to you on an "as is" basis for general information and educational purposes only, without representation or warranty of any kind. It should not be construed as financial, legal or other professional advice, nor is it intended to recommend the purchase of any specific product or service. You should seek your own advice from appropriate professional advisors. Where the content is contributed by a third party contributor, please note that those views expressed belong to the third party contributor, and do not necessarily reflect those of Binance Academy. Digital asset prices can be volatile. The value of your investment may go down or up and you may not get back the amount invested. You are solely responsible for your investment decisions and Binance Academy is not liable for any losses you may incur. For more information, see our Terms of Use, Risk Warning and Binance Academy Terms.

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In Romania, we partnered with Econosofia for an inspiring evening session on Blockchain Fundamentals & Crypto Fundamentals! 🇷🇴

30 attendees came together to explore the building blocks of blockchain and crypto, empowering the next wave of Web3 literacy in Eastern Europe.

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We visited the Università degli Studi di Messina in Italy for an engaging campus session on Decentralization, bringing crypto education straight to the next generation of economists! 🇮🇹

A huge thanks to the students and faculty for the warm welcome The future of finance is decentralized and it starts in classrooms like this.

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Zero excuses not to learn crypto.

Binance Academy stopped by Universidad Tecnológica del Perú in Lima as part of our University Tour, covering everything from Bitcoin basics to blockchain fundamentals.

Shoutout to Mindot and the UTP team for the partnership!

Web3 LATAM is only getting bigger 🌎

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Article

What Is Shentu (CTK)?Key Takeaways Shentu is a Layer-1 blockchain built on the Cosmos SDK that provides security infrastructure for smart contracts and decentralized applications (dApps). CTK is Shentu's native token, used for transaction fees, staking, governance voting, and paying for security services on the network. The Security Oracle is Shentu's core product, a decentralized system that draws on blockchain oracles to provide continuous security scoring for smart contracts. Shentu originated as CertiK Chain in 2021 and rebranded to Shentu Chain in late 2022 to operate as an independent public blockchain focused on Web3 security infrastructure. Introduction Security remains a persistent challenge in blockchain and decentralized finance (DeFi). Despite large losses in the cryptocurrency industry to vulnerabilities such as smart contract exploits, protocol bugs, and unauthorized access, most security measures are reactive. These include security audits which are only conducted before launch of a product, and once a smart contract has been deployed, monitoring is often limited. Shentu is a blockchain protocol that attempts to address this gap by making security infrastructure native on-chain. Rather than treating audits and risk assessment as off-chain services, Shentu embeds them directly into a Layer-1 network. Its Security Oracle scores contracts in real time, its ShentuShield protocol offers decentralized reimbursement for verified exploits, and its native token, CTK, powers the entire ecosystem. This article covers what Shentu is, how its core components work, and how its native token, CTK, fits into the picture. What Is Shentu (CTK)? Shentu is a Layer-1 blockchain focused on blockchain security. It was originally launched in 2018 as CertiK Chain, the on-chain infrastructure arm of CertiK, a blockchain security company founded by professors from Yale and Columbia universities with backgrounds in cryptography and formal verification. In 2021, the project rebranded to Shentu Chain via an on-chain governance proposal, positioning itself as an independent public blockchain rather than a product tied to a single security firm. Shentu is built on the Cosmos SDK and uses CometBFT consensus (formerly Tendermint), a Practical Byzantine Fault Tolerance (PBFT) mechanism that offers fast transaction finality with around six to seven seconds per block. The network is secured by a delegated proof-of-stake (DPoS) validator set, where CTK holders can delegate their tokens to validators to earn staking rewards. Being built on Cosmos also means Shentu supports IBC (Inter-Blockchain Communication), allowing assets and data to move between Shentu and other Cosmos-compatible chains. In 2024, EVM compatibility was added, enabling developers to use familiar Ethereum tools and deploy Ethereum-compatible smart contracts on the network. The CertiK connection Shentu and CertiK are related but distinct. CertiK is a private security company that offers smart contract auditing, penetration testing, and vulnerability disclosure services. Shentu Chain is a public blockchain network with its own validator set, governance, and tokenomics. The two share a common origin, and CertiK continues to contribute to Shentu's development, but the chain operates independently with its own community governance. CTK token CTK is the native utility token of the Shentu blockchain. Its primary uses include: paying gas fees for transactions on the network; staking CTK with validators to earn rewards and secure the network; participating in on-chain governance votes to approve protocol upgrades and parameter changes; providing collateral in the ShentuShield reimbursement pool; and paying for security oracle services requested by dApp developers. Current circulating supply of CTK stands at 160 million.Token distribution follows a combination of staking inflation rewards (allocated to validators and delegators) and allocations to the Shentu Foundation for ecosystem development and grants. What Does Shentu Chain Do? Shentu Chain provides a suite of security services designed to make decentralized applications safer for developers and users. Its three main components are the Security Oracle, ShentuShield, and DeepSEA. Security oracle The Security Oracle is Shentu's flagship feature. It is a decentralized oracle network that provides security scores for smart contracts. Certified security operators, known as certified security primitives (CSPs), analyze contracts using a combination of automated tools and manual review, then submit scores on-chain. These scores are aggregated across multiple operators to produce a composite security rating. The key distinction between the Security Oracle and a traditional audit is timing. A standard smart contract audit is a point-in-time review: a team reviews the code before deployment, issues a report, and the engagement ends. The Security Oracle monitors contracts continuously after deployment, meaning that newly discovered vulnerabilities, changes in on-chain behavior, or interactions with other protocols can be reflected in updated scores over time. DApp developers and protocols can query Security Oracle scores to make decisions about which contracts to integrate with, how to weight risk in their systems, or whether to pause certain operations if a score deteriorates. ShentuShield ShentuShield is Shentu's decentralized reimbursement mechanism. It allows CTK holders to participate as sponsors by depositing CTK into a collateral pool. Other users, referred to as members, can purchase coverage against losses from smart contract exploits by paying a fee in CTK. If a member suffers a verified loss from a covered exploit, they can submit a claim. Claims are reviewed by the ShentuShield Council, a group of elected community representatives who assess the evidence and vote on whether to approve reimbursement. Approved claims are paid out from the collateral pool, and sponsors share in any shortfall proportionally. ShentuShield does not function like traditional insurance. It is a community-driven, on-chain mechanism without the legal protections of regulated insurance products. Payouts are subject to council governance and the availability of collateral in the pool. DeepSEA DeepSEA is a high-assurance programming language developed for writing formally verifiable smart contracts. Formal verification is a mathematical technique that proves a program behaves exactly as specified, ruling out entire categories of bugs rather than testing for specific vulnerabilities. DeepSEA complies to both the Ethereum Virtual Machine (EVM) and the CoqVM, allowing formal proofs of contract correctness to be generated alongside the deployed bytecode. While formal verification is technically demanding and not yet widely adopted across the industry, it represents one of the strongest available guarantees for mission-critical smart contract logic. 2025 network upgrades In 2025, Shentu completed a major network upgrade (v2.14.0), which integrated a WebAssembly (WASM) module to expand smart contract support and enabled textual sign mode to improve the developer and user experience for transaction signing. The upgrade also aligned the network with the latest Cosmos SDK improvements for scalability and IBC performance. Binance temporarily paused CTK deposits and withdrawals in July 2025 during the upgrade window before resuming normal operations. Shentu (CTK) on Binance Binance announced Shentu (CTK) as the 6th project on Binance Launchpool on 22 October, 2020. It was made available for trading on Binance on 27 October, 2020, with the following pairs: CTK/BTC, CTK/BNB, CTK/BUSD and CTK/USDT. FAQ What is the difference between Shentu and CertiK? CertiK is a private blockchain security company offering smart contract audits and penetration testing services. Shentu Chain is a public Layer-1 blockchain that CertiK originally built as its on-chain infrastructure. They share a founding team and security focus, but Shentu operates independently with its own validator set, governance, and token. The rebrand from CertiK Chain to Shentu Chain in late 2022 was intended to establish this distinction. What is CTK used for? CTK is the native token of the Shentu blockchain. It is used to pay transaction fees, stake with validators to earn rewards, vote on governance proposals, provide collateral in the ShentuShield pool, and pay for security oracle services. How does the Shentu Security Oracle work? The Security Oracle is a decentralized network of certified security operators who analyze smart contracts and submit security scores on-chain. These scores are aggregated to produce a composite rating that reflects the contract's current security status. Unlike a traditional audit, the Security Oracle provides ongoing monitoring after a contract is deployed, so scores can be updated if new vulnerabilities are discovered. What is ShentuShield? ShentuShield is a decentralized reimbursement protocol on the Shentu network. CTK holders can deposit tokens as collateral (sponsors) and other users can purchase coverage (members) against losses from smart contract exploits. If a member experiences a verified loss, they can submit a claim that is reviewed and voted on by the ShentuShield Council. It is not regulated insurance and payouts depend on council governance and pool availability. Is Shentu part of the Cosmos ecosystem? Yes. Shentu is built on the Cosmos SDK and uses CometBFT consensus. It supports IBC (Inter-Blockchain Communication), which allows assets and data to move between Shentu and other Cosmos-compatible chains. In 2024, Shentu also added EVM compatibility, extending its reach to Ethereum-compatible tools and developers. Closing Thoughts Security infrastructure is often treated as a peripheral concern in blockchain development. Shentu's approach is to make it foundational: embedding security scoring, decentralized reimbursement, and formal verification directly into a Layer-1 network rather than leaving them as optional, off-chain services. Whether this model gains widespread adoption depends on how consistently the Security Oracle delivers meaningful signals and whether ShentuShield proves reliable at scale. Further Reading What Are Smart Contracts and How Do They Work? Blockchain Oracles Explained What Is Crypto Staking and How Does It Work? What Is a Smart Contract Security Audit? What Are Governance Tokens? Disclaimer: This content is presented to you on an "as is" basis for general information and educational purposes only, without representation or warranty of any kind. It should not be construed as financial, legal, or other professional advice, nor is it intended to recommend the purchase of any specific product or service. You should seek your own advice from appropriate professional advisors. Where the content is contributed by a third-party contributor, please note that those views expressed belong to the third-party contributor, and do not necessarily reflect those of Binance Academy. Digital asset prices can be volatile. The value of your investment may go down or up and you may not get back the amount invested. You are solely responsible for your investment decisions and Binance Academy is not liable for any losses you may incur. For more information, see our Terms of Use, Risk Warning and Binance Academy Terms.

What Is Shentu (CTK)?

Key Takeaways

Shentu is a Layer-1 blockchain built on the Cosmos SDK that provides security infrastructure for smart contracts and decentralized applications (dApps).

CTK is Shentu's native token, used for transaction fees, staking, governance voting, and paying for security services on the network.

The Security Oracle is Shentu's core product, a decentralized system that draws on blockchain oracles to provide continuous security scoring for smart contracts.

Shentu originated as CertiK Chain in 2021 and rebranded to Shentu Chain in late 2022 to operate as an independent public blockchain focused on Web3 security infrastructure.

Introduction

Security remains a persistent challenge in blockchain and decentralized finance (DeFi). Despite large losses in the cryptocurrency industry to vulnerabilities such as smart contract exploits, protocol bugs, and unauthorized access, most security measures are reactive. These include security audits which are only conducted before launch of a product, and once a smart contract has been deployed, monitoring is often limited.

Shentu is a blockchain protocol that attempts to address this gap by making security infrastructure native on-chain. Rather than treating audits and risk assessment as off-chain services, Shentu embeds them directly into a Layer-1 network. Its Security Oracle scores contracts in real time, its ShentuShield protocol offers decentralized reimbursement for verified exploits, and its native token, CTK, powers the entire ecosystem.

This article covers what Shentu is, how its core components work, and how its native token, CTK, fits into the picture.

What Is Shentu (CTK)?

Shentu is a Layer-1 blockchain focused on blockchain security. It was originally launched in 2018 as CertiK Chain, the on-chain infrastructure arm of CertiK, a blockchain security company founded by professors from Yale and Columbia universities with backgrounds in cryptography and formal verification. In 2021, the project rebranded to Shentu Chain via an on-chain governance proposal, positioning itself as an independent public blockchain rather than a product tied to a single security firm.

Shentu is built on the Cosmos SDK and uses CometBFT consensus (formerly Tendermint), a Practical Byzantine Fault Tolerance (PBFT) mechanism that offers fast transaction finality with around six to seven seconds per block. The network is secured by a delegated proof-of-stake (DPoS) validator set, where CTK holders can delegate their tokens to validators to earn staking rewards.

Being built on Cosmos also means Shentu supports IBC (Inter-Blockchain Communication), allowing assets and data to move between Shentu and other Cosmos-compatible chains. In 2024, EVM compatibility was added, enabling developers to use familiar Ethereum tools and deploy Ethereum-compatible smart contracts on the network.

The CertiK connection

Shentu and CertiK are related but distinct. CertiK is a private security company that offers smart contract auditing, penetration testing, and vulnerability disclosure services. Shentu Chain is a public blockchain network with its own validator set, governance, and tokenomics. The two share a common origin, and CertiK continues to contribute to Shentu's development, but the chain operates independently with its own community governance.

CTK token

CTK is the native utility token of the Shentu blockchain. Its primary uses include: paying gas fees for transactions on the network; staking CTK with validators to earn rewards and secure the network; participating in on-chain governance votes to approve protocol upgrades and parameter changes; providing collateral in the ShentuShield reimbursement pool; and paying for security oracle services requested by dApp developers.

Current circulating supply of CTK stands at 160 million.Token distribution follows a combination of staking inflation rewards (allocated to validators and delegators) and allocations to the Shentu Foundation for ecosystem development and grants.

What Does Shentu Chain Do?

Shentu Chain provides a suite of security services designed to make decentralized applications safer for developers and users. Its three main components are the Security Oracle, ShentuShield, and DeepSEA.

Security oracle

The Security Oracle is Shentu's flagship feature. It is a decentralized oracle network that provides security scores for smart contracts. Certified security operators, known as certified security primitives (CSPs), analyze contracts using a combination of automated tools and manual review, then submit scores on-chain. These scores are aggregated across multiple operators to produce a composite security rating.

The key distinction between the Security Oracle and a traditional audit is timing. A standard smart contract audit is a point-in-time review: a team reviews the code before deployment, issues a report, and the engagement ends. The Security Oracle monitors contracts continuously after deployment, meaning that newly discovered vulnerabilities, changes in on-chain behavior, or interactions with other protocols can be reflected in updated scores over time.

DApp developers and protocols can query Security Oracle scores to make decisions about which contracts to integrate with, how to weight risk in their systems, or whether to pause certain operations if a score deteriorates.

ShentuShield

ShentuShield is Shentu's decentralized reimbursement mechanism. It allows CTK holders to participate as sponsors by depositing CTK into a collateral pool. Other users, referred to as members, can purchase coverage against losses from smart contract exploits by paying a fee in CTK.

If a member suffers a verified loss from a covered exploit, they can submit a claim. Claims are reviewed by the ShentuShield Council, a group of elected community representatives who assess the evidence and vote on whether to approve reimbursement. Approved claims are paid out from the collateral pool, and sponsors share in any shortfall proportionally.

ShentuShield does not function like traditional insurance. It is a community-driven, on-chain mechanism without the legal protections of regulated insurance products. Payouts are subject to council governance and the availability of collateral in the pool.

DeepSEA

DeepSEA is a high-assurance programming language developed for writing formally verifiable smart contracts. Formal verification is a mathematical technique that proves a program behaves exactly as specified, ruling out entire categories of bugs rather than testing for specific vulnerabilities.

DeepSEA complies to both the Ethereum Virtual Machine (EVM) and the CoqVM, allowing formal proofs of contract correctness to be generated alongside the deployed bytecode. While formal verification is technically demanding and not yet widely adopted across the industry, it represents one of the strongest available guarantees for mission-critical smart contract logic.

2025 network upgrades

In 2025, Shentu completed a major network upgrade (v2.14.0), which integrated a WebAssembly (WASM) module to expand smart contract support and enabled textual sign mode to improve the developer and user experience for transaction signing. The upgrade also aligned the network with the latest Cosmos SDK improvements for scalability and IBC performance. Binance temporarily paused CTK deposits and withdrawals in July 2025 during the upgrade window before resuming normal operations.

Shentu (CTK) on Binance

Binance announced Shentu (CTK) as the 6th project on Binance Launchpool on 22 October, 2020. It was made available for trading on Binance on 27 October, 2020, with the following pairs: CTK/BTC, CTK/BNB, CTK/BUSD and CTK/USDT.

FAQ

What is the difference between Shentu and CertiK?

CertiK is a private blockchain security company offering smart contract audits and penetration testing services. Shentu Chain is a public Layer-1 blockchain that CertiK originally built as its on-chain infrastructure. They share a founding team and security focus, but Shentu operates independently with its own validator set, governance, and token. The rebrand from CertiK Chain to Shentu Chain in late 2022 was intended to establish this distinction.

What is CTK used for?

CTK is the native token of the Shentu blockchain. It is used to pay transaction fees, stake with validators to earn rewards, vote on governance proposals, provide collateral in the ShentuShield pool, and pay for security oracle services.

How does the Shentu Security Oracle work?

The Security Oracle is a decentralized network of certified security operators who analyze smart contracts and submit security scores on-chain. These scores are aggregated to produce a composite rating that reflects the contract's current security status. Unlike a traditional audit, the Security Oracle provides ongoing monitoring after a contract is deployed, so scores can be updated if new vulnerabilities are discovered.

What is ShentuShield?

ShentuShield is a decentralized reimbursement protocol on the Shentu network. CTK holders can deposit tokens as collateral (sponsors) and other users can purchase coverage (members) against losses from smart contract exploits. If a member experiences a verified loss, they can submit a claim that is reviewed and voted on by the ShentuShield Council. It is not regulated insurance and payouts depend on council governance and pool availability.

Is Shentu part of the Cosmos ecosystem?

Yes. Shentu is built on the Cosmos SDK and uses CometBFT consensus. It supports IBC (Inter-Blockchain Communication), which allows assets and data to move between Shentu and other Cosmos-compatible chains. In 2024, Shentu also added EVM compatibility, extending its reach to Ethereum-compatible tools and developers.

Closing Thoughts

Security infrastructure is often treated as a peripheral concern in blockchain development. Shentu's approach is to make it foundational: embedding security scoring, decentralized reimbursement, and formal verification directly into a Layer-1 network rather than leaving them as optional, off-chain services. Whether this model gains widespread adoption depends on how consistently the Security Oracle delivers meaningful signals and whether ShentuShield proves reliable at scale.

Further Reading

What Are Smart Contracts and How Do They Work?

Blockchain Oracles Explained

What Is Crypto Staking and How Does It Work?

What Is a Smart Contract Security Audit?

What Are Governance Tokens?

Disclaimer: This content is presented to you on an "as is" basis for general information and educational purposes only, without representation or warranty of any kind. It should not be construed as financial, legal, or other professional advice, nor is it intended to recommend the purchase of any specific product or service. You should seek your own advice from appropriate professional advisors. Where the content is contributed by a third-party contributor, please note that those views expressed belong to the third-party contributor, and do not necessarily reflect those of Binance Academy. Digital asset prices can be volatile. The value of your investment may go down or up and you may not get back the amount invested. You are solely responsible for your investment decisions and Binance Academy is not liable for any losses you may incur. For more information, see our Terms of Use, Risk Warning and Binance Academy Terms.

CTK0,00%

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Knowledge hit Lima 🇵🇪

Binance Academy stopped by Universidad de Ingeniería y Tecnología as part of our Perú University Tour covering Crypto Fundamentals with 65 students ready to build the future.

Thanks Mindot & UTEC Ventures for the partnership 🤝

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Postcard from Rome 🇮🇹

Our team visited LUISS Business School for a session on Decentralization with 30 students.

Conversations at the intersection of business and blockchain are happening at some of Europe's top institutions, and we're here for it!

Binance Academy

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In Liberia, the Binance Africa University Tour made its stop at African Methodist Episcopal University!

154 students dove into Blockchain Fundamentals, Cryptocurrency Deep Dive & Trading Fundamentals.

The curiosity and energy in the room were next level 👏

Binance Academy

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✍️ Did you know you can earn just by posting on Binance Square?
The Write to Earn program lets you turn your crypto knowledge into real income

Here's how it works:
1️⃣ Create content with cashtags
Post articles, videos, polls, or updates featuring cashtags like $BTC or $BNB . That's all it takes to be eligible.

2️⃣ Readers trade, you earn
When someone clicks a cashtag or price chart widget in your post and trades, you get a cut of their trading fees. No referral links needed.

3️⃣ 20% base commission, up to 50%
Every eligible creator starts at 20% commission. Top 100 weekly creators can earn up to 50%. The better your content, the more you make.

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Earnings are calculated Monday–Sunday and paid to your Funding Account by the following Thursday. Minimum payout: 0.1 USDC.

5️⃣ No separate sign-up needed
Already KYC-verified on Binance? Just start posting eligible content and you're automatically enrolled.

Your insights have value, so start sharing them!
📖 Learn more: Write to Earn on Binance Square: All You Need to Know

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📈 Thinking about trading crypto?
Every experienced trader was once a beginner.

Start here:
1️⃣ Choose a reliable exchange
Security protocols and responsive customer support are the foundation. Don't cut corners on where you trade.

2️⃣ Learn the core concepts
Trading pairs, order types, spot trading. Understand these before you touch a chart.

3️⃣ Know your trading style
Day trading, swing trading, scalping, or HODLing? Each has a different risk profile and time commitment.

4️⃣ Manage your risk
Position sizing and stop-loss orders are what separate disciplined traders from gamblers. Always know your downside before entering a trade.

5️⃣ Learn technical analysis
Reading price charts and indicators won't predict the future, but it helps you make smarter, data-driven decisions.

6️⃣ Understand candlestick charts
Open, high, low, close, Every candle tells a story. Learning to read them is one of the most valuable skills in trading.

The market rewards preparation. Do the work before you do the trades.
📖 Full beginner's guide: A Beginner's Guide to Cryptocurrency Trading

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🚨 Crypto scams are getting smarter. Are you?
From AI deepfakes to fake apps, scammers are evolving fast.

Here are the most common crypto scams and how to avoid them:
1️⃣ Phishing
Fake emails, sites, and messages designed to steal your credentials or seed phrase. Always double-check URLs, use bookmarks, and remember that no legitimate platform will ever ask for your private keys.

2️⃣ Fake Mobile Apps
Copycat wallets and exchange apps lurk in app stores. Only download from official websites. Check the publisher name, reviews, and download count before trusting anything.

3️⃣ Fake Giveaways & Exchanges
"Send crypto, get more back." It's never real. Verify any platform with tools like Binance Verify before connecting your wallet.

4️⃣ Ponzi & Pyramid Schemes
Promises of guaranteed high returns are a classic trap. If someone's pitching "passive income" with no clear business model — walk away.

5️⃣ Pig Butchering
Scammers build fake relationships over weeks before introducing a "can't-miss" investment. Trust your gut when something feels off.

6️⃣ AI Deepfakes
Fake videos and audio of real people promoting scams. Look for unnatural visuals, voice glitches, and off-brand messaging.

7️⃣ Rug Pulls
Developers launch a project, hype it up, then disappear with the funds. Always research the team and tokenomics before investing.

8️⃣ Copy-and-Paste Malware
Malware silently swaps wallet addresses in your clipboard. Always double-check the full address before confirming any transaction.

Better to stay skeptical.
📖 Learn more: Common Cryptocurrency Scams and How to Avoid Them

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P2P trading is powerful, but only if you trade smart.
Peer-to-peer trading gives you flexibility and control. It also attracts scammers.

Before you trade:
1️⃣ Screen your trading partner
Check their completed trades, completion rate (aim for 80%+), and feedback from other users.
2️⃣ Compare prices
If the offer looks too good compared to market rates — it probably is. Big discrepancies = big red flag.

During the trade:
3️⃣ Watch for pressure tactics
Anyone rushing you to release crypto before confirming payment is trying to scam you. Don't do it.
4️⃣ Stay on the platform
Never move the conversation off-platform. Scammers use this to deny transactions ever happened.
5️⃣ Screenshot everything
Keep records of all communications and payment confirmations in case you need to file an appeal.

Always:
6️⃣ Use escrow
Only trade on platforms that hold funds in escrow until both sides confirm the deal.
7️⃣ Verify KYC
Trade with verified merchants whenever possible — it's an extra layer of accountability.

Know the risks and the signs and stay safe out there.
📖 Learn more: How to Stay Safe in Peer-to-Peer (P2P) Trading

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Your Binance account is only as secure as you make it.

Here are 5 ways to level up your account security today:
1️⃣ Use an RSA Key Pair for API Trading
Encrypt and sign your API requests with a public/private key pair — a much stronger shield than API keys alone.

2️⃣ Set IP Access Restrictions
Only allow trusted IP addresses to access your account via API. Any request from an unapproved IP? Blocked automatically.

3️⃣ Whitelist Your Withdrawal Addresses
Only pre-approved wallet addresses can receive your funds. No surprises, no unauthorized transfers.

4️⃣ Enable 2FA with a YubiKey
Go beyond SMS and authenticator apps — a physical hardware key adds a layer that's nearly impossible to bypass remotely.

5️⃣ Strengthen Your Password
At least 12 characters. Mix of letters, numbers, and symbols. Change it every 3 months. Use a password manager. Never share it.

Security is an ongoing habit.
📖 Learn more: 5 Ways to Improve Your Binance Account Security

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🔐 Is your crypto actually safe?

Owning crypto is just step one. Protecting it is where most people fall short.

Here are 5 things you should be doing right now:
1️⃣ Secure your seed phrase
Write it down. Store it offline. Never type it into any website or app. Consider splitting it across secure locations. If one is compromised, your funds aren't.

2️⃣ Watch out for social media spoofing
Scammers clone accounts of influencers and projects. Always verify before you trust. A blue tick isn't enough.

3️⃣ Avoid public WiFi
Accessing your wallet at a café or airport? Think twice. Public networks are playgrounds for man-in-the-middle attacks.

4️⃣ Don't fall for fake livestreams
"Send 1 BTC, get 2 back" — no legitimate project does this. If it sounds too good to be true, it's a scam.

5️⃣ Be skeptical of deepfakes
AI-generated videos of "celebrities" promoting crypto giveaways are everywhere. Look for unnatural movements, voice glitches, and off-brand messaging.

Stay sharp. Your security is your responsibility.
📖 Learn more: 5 Tips to Secure Your Cryptocurrency Holdings

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Excited to have joined as guest speakers at the University of the Thai Chamber of Commerce (UTCC)'s Global MBA program!

We shared insights on Business in Blockchain & Real-World Applications with 40 future business leaders in Bangkok 🇹🇭

The next generation of entrepreneurs is already thinking about Web3.

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DYOR stands for "Do Your Own Research" and it may be the most important habit in crypto.

In a market full of hype, influencer tips, and viral trends, DYOR is a reminder to think for yourself before putting your money on the line.

Here is what good research actually looks like:
📄 Do Your Own Research
Read the whitepaper. Understand what a project is trying to solve, how it works, and who is behind it.

📊 Study the key metrics
Market cap, trading volume, circulating supply, token distribution, and active users all tell a story.

🧐 Seek authoritative sources
Not every account or post has your best interests at heart. Stick to credible, verifiable information.

📚 Build your crypto literacy
The more you understand DeFi, tokenomics, and blockchain basics, the better your judgment will be.

💼 Consider professional advice
For complex situations, a financial consultant can add real value.

Even thorough research cannot guarantee profits in a volatile market. But skipping it almost guarantees avoidable mistakes.

📖 Read more: DYOR

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5 Risk Management Strategies Every Crypto Investor Should Know

Managing risk is one of the most important skills in crypto.

Here are five strategies to help protect your portfolio:
1️⃣ Acceptance
Sometimes the potential loss is small enough that it makes sense to simply accept the risk and invest without spending extra to mitigate it.

2️⃣ Transfer
Shift the risk to a third party through instruments like insurance or derivatives. You pay a fee, but you gain protection.

3️⃣ Avoidance
If an asset carries too much risk for your comfort level, the simplest strategy is to stay out entirely.

4️⃣ Reduction
Diversify across different assets, sectors, or asset classes to minimize the impact of any single loss on your overall portfolio.

5️⃣ The 1% Rule
Never risk more than 1% of your total capital on a single trade. Pair this with stop-loss orders to cap your downside automatically.

💡 Additional tips:
🔸 Use hardware wallets for long-term holdings
🔸 Enable app-based 2FA rather than SMS
🔸 Use burner wallets for DeFi interactions
🔸 Always DYOR before investing

Good risk management keeps you in the game long enough to win.

📖 Read more: Five Risk Management Strategies

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What Is Shentu (CTK)?

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