Économies mesurées sur 11 LLMs — Claude Opus 4.7 à Gemini Flash.→ Voir les données par modèle
Connecter votre client
Tooling

Agent firewall achieves 99% injection detection across academic datasets

Arc Gate, a proxy layer for AI agents, blocked 99% of injection attacks in blind tests against university-published datasets while documenting its failure modes in semantic roleplay attacks.

1 min read
Sourcer/openai

A developer has released Arc Gate, a proxy-layer firewall that sits between AI agents and their language models to prevent untrusted tool outputs from becoming behavioral authority. The tool was tested against three peer-reviewed academic datasets to measure real-world injection detection rates with...

Sign in to read the full analysis

Free — just an email. Get full analysis on LLM unit economics, plus the weekly Cost-of-Inference column.

Method & sources
Source type
Primary publication (lab/vendor blog) — our analysis + implication
Source link
r/openai
Published
UTC
Byline
By the gotcontext.ai team (editorial standards)
Correction?
corrections@gotcontext.ai