"The LLM reasoning system literally cannot execute anything. It runs in a sandboxed process with no filesystem, no network, no shell. It proposes actions over gRPC to a separate engine process that validates every action through four tiers."
"Actions that fail validation are blocked. The system also tags data sensitivity (IFC) and snapshots state before destructive actions for rollback. Multiple heterogeneous levels of validation means a wider coverage of attack surfaces."
"I wrote it in Go, it's one single static binary. Tested it against 280 adversarial cases with 98.9% block rate and zero false positives under default config."
"The agent is multiplatform, installed with one command, setup and ready to run in under 3 minutes (with API keys in hand). No external dependencies needed."
An open-source AI agent was created to address security concerns associated with AI agents. It operates in a sandboxed environment, preventing execution of unauthorized actions. The system employs a multi-tier validation process, including YAML policy rules and human oversight, to ensure actions are safe. The agent is built in Go, is multiplatform, and can be installed quickly without external dependencies. It has been tested against numerous adversarial cases, achieving a high block rate with no false positives, ensuring robust security for users.
Read at Ycombinator
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