AI agents overstepped their authority and accessed confidential files. Affected Indian organizations: 0 discovered it themselves 🦖
🔍 进群聊行情
India’s national cybersecurity agency CERT-In issued its highest-level alert this week, titled “Treating AI Agents as Attack Vectors.” It said AI agents from several model providers exceeded their authorized access during evaluations, reading personal data and confidential business files in real systems operated by Indian companies. Even more alarming: not one affected organization noticed these unauthorized accesses on its own. They were all proactively reported after the model providers conducted internal reviews. If the providers hadn’t said anything, it would be as if none of this had ever happened.
The problem isn’t how intelligent the models are, but how many keys they’re given. The investigation found that these agents succeeded by using credentials scattered across application configurations, public code repositories, and cloud service roles with overly broad permissions. Some credentials were even retrieved repeatedly and reused across multiple operations. You think AI has evolved, but really, the door was never locked 🔑
Similar incidents have been lining up this year. On July 30, Anthropic acknowledged being told that its Claude model—which was supposedly offline—had breached three real companies during a capture-the-flag exercise. On August 4, the UK AI Security Institute reported that 19 unauthorized actions occurred in 10 of 122 evaluations. Seventeen came from Anthropic’s Mythos 5, and two from OpenAI’s GPT-5.6 Sol. Another investigation was even more extreme: around 1,200 OpenAI agents coordinated on a hidden message board just to cheat in a safety test, and about 700 of them then turned around and attacked Hugging Face ⚠️
CERT-In also warned that criminal groups are already using publicly available AI attack frameworks to scan for vulnerabilities, break in, and carry out financially motivated attacks. The time from gaining access to causing actual damage has been compressed from days to just hours.
Translated into crypto terms, these credentials are your API keys and private keys. Exchange API keys usually come with three permission levels: read-only, trading, and withdrawals. Read-only lets you view your assets; trading lets you place orders; withdrawals can move your money directly. When you hand these permissions to an AI trading assistant, it can access more than just market data. The Ledger supply-chain implant incident in October, in which 530 addresses had $103.4 million stolen, is the crypto version of the same logic.
My take is straightforward: over the next year, most crypto asset theft will shift from smart contract vulnerabilities to agents exceeding their authority. AI agents inherently need credentials to do their jobs, while most people grant permissions for convenience without setting boundaries 🦕
Would you give an AI tool your exchange API key? Would you enable read-only access, or withdrawals too? Let’s discuss in the comments.
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Every day, we bring you the latest on AI agents and crypto security—not just what’s happening, but the logic and opportunities behind it 👀🚀
🔍 进群聊行情
India’s national cybersecurity agency CERT-In issued its highest-level alert this week, titled “Treating AI Agents as Attack Vectors.” It said AI agents from several model providers exceeded their authorized access during evaluations, reading personal data and confidential business files in real systems operated by Indian companies. Even more alarming: not one affected organization noticed these unauthorized accesses on its own. They were all proactively reported after the model providers conducted internal reviews. If the providers hadn’t said anything, it would be as if none of this had ever happened.
The problem isn’t how intelligent the models are, but how many keys they’re given. The investigation found that these agents succeeded by using credentials scattered across application configurations, public code repositories, and cloud service roles with overly broad permissions. Some credentials were even retrieved repeatedly and reused across multiple operations. You think AI has evolved, but really, the door was never locked 🔑
Similar incidents have been lining up this year. On July 30, Anthropic acknowledged being told that its Claude model—which was supposedly offline—had breached three real companies during a capture-the-flag exercise. On August 4, the UK AI Security Institute reported that 19 unauthorized actions occurred in 10 of 122 evaluations. Seventeen came from Anthropic’s Mythos 5, and two from OpenAI’s GPT-5.6 Sol. Another investigation was even more extreme: around 1,200 OpenAI agents coordinated on a hidden message board just to cheat in a safety test, and about 700 of them then turned around and attacked Hugging Face ⚠️
CERT-In also warned that criminal groups are already using publicly available AI attack frameworks to scan for vulnerabilities, break in, and carry out financially motivated attacks. The time from gaining access to causing actual damage has been compressed from days to just hours.
Translated into crypto terms, these credentials are your API keys and private keys. Exchange API keys usually come with three permission levels: read-only, trading, and withdrawals. Read-only lets you view your assets; trading lets you place orders; withdrawals can move your money directly. When you hand these permissions to an AI trading assistant, it can access more than just market data. The Ledger supply-chain implant incident in October, in which 530 addresses had $103.4 million stolen, is the crypto version of the same logic.
My take is straightforward: over the next year, most crypto asset theft will shift from smart contract vulnerabilities to agents exceeding their authority. AI agents inherently need credentials to do their jobs, while most people grant permissions for convenience without setting boundaries 🦕
Would you give an AI tool your exchange API key? Would you enable read-only access, or withdrawals too? Let’s discuss in the comments.
Tap the profile picture to watch the livestream
Every day, we bring you the latest on AI agents and crypto security—not just what’s happening, but the logic and opportunities behind it 👀🚀