I scanned my AI agent framework for destructive/consequential actions, and wow (www.actenon.com)

A recent study conducted on 25 AI agent frameworks revealed that 30 out of 23,476 scanned files could perform consequential actions without proper authorization checks. This significant gap highlights a critical flaw in many AI systems where validation (checking if a request is well-formed) does not equate to authorization (ensuring the requester is allowed to perform that action). The researchers emphasized that the absence of robust authorization checks can lead to unauthorized actions, such as network egress, file manipulations, and SQL executions, which poses serious security risks. These findings are crucial for the AI/ML community, as they underscore the importance of incorporating stringent authorization mechanisms in AI frameworks to prevent misuse. The research also documented precision failures in their own scanner, acknowledging that 12 of their findings were false positives. By publishing these results, the team encourages transparency and provides insights into enhancing code security protocols. The study serves as a wake-up call for developers, promoting a shift towards more resilient AI architectures that prioritize safety and risk management in AI operations.