🟠 High | Source: The Register — Security
Check Point researchers examined the frameworks enterprises use to build AI agent applications — such as LangChain and similar orchestration tools — and found that the real attack surface lies in the frameworks themselves, not just prompt injection. Vulnerabilities in these frameworks can allow attackers to hijack agent behaviour, exfiltrate data, or pivot across connected systems. The findings were presented at Black Hat, highlighting that securing AI applications requires scrutiny of the underlying infrastructure, not just input validation.
Security Architect’s Take: Audit any AI agent frameworks in use across your organisation — review their dependency chains, tool-calling permissions, and how they handle untrusted input from external sources. Apply least-privilege principles to any tools or APIs an agent can invoke, and treat framework components as you would any third-party library in your software supply chain.
Original advisory: Prompt injection isn’t the bug, AI agent frameworks are