Cerbère-AG Aims to Monitor and Control AI Agent Actions Post-Decision

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A developer is building Cerbère-AG, an open-source security evidence layer designed to oversee AI agent behavior after a model has decided to act. Unlike most AI security tools that focus on input threats like prompt injection or jailbreaks, Cerbère-AG targets the action phase, monitoring tool calls, enforcing policies, and flagging sensitive operations. Key features include argument and capability checks, execution budget limits, trajectory-level risk detection, and human approval workflows for sensitive actions. The project is currently seeking developers and teams running real-world AI agent workflows to stress-test the tool and identify failure modes. The creator is actively looking for design partners and invites feedback through the project's GitHub repository.

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WClickHouse Adds Zero-Copy Apache Arrow Support for Faster Python Analytics

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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