Beating GPT5.5-xhigh for Coding agent security with SLMs and IRM
Coding agents craft arbitrary code so securing them is more complicated than red-teaming. We post trained a cyber-security small llm, changed how it reasons and supplemented our controls using program analysis techniques such as inline reference monitoring to outperform GPT5.5-xhigh on hard benchmarks like LinuxArena and SleightBench. Free product available at harden.run and full benchmarks in the blog post.
Beating GPT5.5-xhigh for Coding agent security with SLMs and IRM launched on August 27, 2026 with 9 votes, #1,116 of 23,274 launches that month and more than 75% of that year's launches.
What it does
Harden AIF is a free, local security tool for AI coding agents. Its post-trained model checks tool calls before they run, using your request and session context. It beat frontier models on key agent-security benchmarks, while keeping your repo and tool output on your machine.
Research and evidence behind Harden Agentic Integrity Foundation (AIF): local cybersecurity-focused LLMs that evaluate coding-agent tool calls before execution.
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