Corridor

@corridor

Secure AI Coding at the Source.

San Francisco, CA

corridor.dev

Joined January 2025

9 Following

1,171 Followers

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Corridor
@corridor
Sep 30
Today, we're launching Security Enforcement for long-running agents. Code is written by agents and nobody is watching. Traditional security reviews aren’t built for this approach, but Corridor is. Today we launched Security Enforcement for long-running agents. We built this to
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Corridor
@corridor
Oct 16
We recently demonstrated that TypeSafe’s Jev could be used to gate when our security scan should be run. Since then, OpenAI, Microsoft, Perplexity, and a dozen others shipped decision models of their own. So we ran all of them through the same benchmark for this task. The top
Choosing What We Scan: Benchmarking More Decision Models
From corridor.dev
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Corridor
@corridor
Oct 7
This time next week, Corridor will be in NYC! 🏙️ Join us for happy hour on Thursday, October 15th and hear from @JamesBerthoty and @Guy_Flechter about approaches to securing agentic coding plus @jackhcable's recent research on AI Agents targeting government websites. Come for
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Corridor
@corridor
Oct 5
Coding agents now open PRs and push commits in long-running sessions where humans barely look. Our security enforcement for long-running agents scans every change before the agent commits, but a full scan on every commit is slow and expensive, and many commits are obviously safe.
Choosing What We Scan: How Decision Models Halved our Costs and Reduced False Alarms
From corridor.dev
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Corridor
@corridor
Oct 2
AI agents built for ordinary tasks are breaking past the guardrails meant to contain them. In today's @washingtonpost, our co-founder and CEO, @jackhcable talks about his work with @TransluceAI and tracking rogue AI agents online. "The models were just trying to access data,
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