Dam Secure Blog

DeepSeek 4.1 Flash is our pick for day-to-day review: 64% of the planted bugs found, about 6 minutes a PR.

More models, same winner. Our updated benchmark tests 16 models on PR security reviews, and Claude Opus 5 costs six times more than GPT-5.6 Sol without catching more bugs.

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We ran 10 models over pull requests with planted access-control bugs. GPT-5.6 Sol caught every one for $0.70 a PR, while Fable 5 cost five times as much and still missed bugs.

Washington pulled Anthropic’s Fable 5 and Mythos 5 days after launch. Here’s why the ban may end up helping Anthropic more than it hurts, just as the company heads toward its IPO.

Attackers only need a few hours between publishing a malicious package and your next install. Learn how a minimum release age protects you from attacks like the axios hijack, and why it only works if every repo has it.

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Most AI code review leans on guidelines like AGENTS.md and Skills files, which models follow only part of the time. We explain why critical security checks need enforced guardrails with a hard pass or fail.

Building your own security review bot is easy. Making it consistent, auditable and affordable is where teams stall. Here’s where the DIY ceiling sits, and what it takes to get past it.

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Dam Secure has received its SOC 2 Type 2 report! An independent audit confirmed Dam Secure’s security, availability and confidentiality controls operated effectively across the full review period.

AI coding agents drift from security design over long sessions. This guest post shows how hackaws.cloud kept customer data isolated as the codebase grew, and what Dam Secure flagged before anything leaked.

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AI security startup Dam Secure has raised $4 million in a seed funding round led by Washington, D.C.-based cyber and AI investor, Paladin Capital Group, to solve for the security risks created by AI-generated code entering production at scale.

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