Open-Source Tool Scores Zero Breaches
Archestra just released an open-source security engine called OpenAPPA, and it scored a flat zero percent attack success rate on two major security benchmarks. Zero. Not 'low'. Zero. What problem does it actually solve?
Archestra just released an open-source security engine called OpenAPPA, and it scored a flat zero percent attack success rate on two major security benchmarks. Zero. Not 'low'. Zero.
What problem does it actually solve? When malicious instructions sneak into an AI agent's context and trick it into leaking sensitive data (that's prompt injection), or when the agent simply hallucinates and acts on bad assumptions, the result is real data exfiltration.
OpenAPPA's clever trick: it runs outside the agent's own prompt and execution loop. It never trusts the agent itself. Instead, it enforces strict rules from the outside, like a security guard standing outside the meeting room instead of inside it.
Those rules are built around concepts like data sources, audiences, trust levels, and authorities, all enforced deterministically, meaning there's no luck or randomness involved, just hard rules.
If you're building with AI agents right now, this is worth a serious look before you assume security will just 'happen' on its own.
🔗 Original Source & Reference: https://www.infoq.com/news/2026/10/open-APPA-zero-security-breach/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global
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Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.