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Microsoft’s agentic security system MDASH (Multi-Model Agentic Scanning Harness) found 16 real Windows vulnerabilities — 4 of them critical remote code execution flaws — that were patched in May 2026’s Patch Tuesday. Now MDASH is entering private preview as a customer-accessible product, and the commercial standalone version, Project Perception, is expected to launch by the end of July 2026. The full story is documented in the Microsoft Security Blog’s May 12 announcement.
For builders, this matters in two ways: first, it’s proof that multi-agent, multi-model security tooling works at production quality; second, the routing architecture — expensive reasoning reserved for deep analysis, cheap models handling bulk triage — is a pattern every builder doing AI at scale should understand.
Part of our Builder’s Log.
What MDASH Found
MDASH’s first public result was 16 CVEs patched in a single Patch Tuesday, including 4 Critical RCE vulnerabilities. Ten of the 16 are kernel-mode flaws. Most are reachable from a network position without credentials — meaning attackers could exploit them remotely without authentication.
Two of the four critical flaws illustrate the kind of finding MDASH is designed to surface:
CVE-2026-33824 (IKEv2): A double-free in ikeext.dll, the Windows IKEv2 service, reachable by a remote unauthenticated attacker over UDP/500. By sending a crafted IKE_SA_INIT followed by a single malformed fragment, an attacker can trigger a deterministic double-free of a 16-byte heap allocation inside the IKEEXT service, which runs as LocalSystem. The Hacker News covered this as one of the most serious findings in the batch.
CVE-2026-33827 (TCP/IP): A remote unauthenticated use-after-free in tcpip.sys triggered by crafted IPv4 packets carrying the Strict Source and Record Route (SSRR) option.
The full batch spans tcpip.sys, the IKEEXT IPsec service, HTTP.sys, Netlogon, DNS resolution, and the Telnet client — a meaningful cross-section of Windows networking and authentication components.
How MDASH Works: 100+ Agents, a Multi-Model Router
MDASH was built by Microsoft’s Autonomous Code Security team in collaboration with the Windows Attack Research and Protection group. The architecture coordinates more than 100 specialized AI agents, using a mix of heavyweight frontier models and lightweight distilled models.
The key mechanism is the model router: an orchestration layer that assigns tasks based on complexity and cost.
- Cheap models handle initial triage, log parsing, inventory checks, and deduplication of common vulnerability patterns.
- Frontier models (Microsoft, OpenAI, and Anthropic) handle deep exploitability analysis — reasoning through complex exploit chains, modeling attacker-reachability, and producing evidence-backed reports.
As WindowsNews reported on the Project Perception architecture: “A low-cost model might handle inventory checks, log parsing, or initial triage of common vulnerability types. When the system needs to reason through a complex exploit chain…it calls on a frontier model.”
MDASH integrates with existing security workflows: scanning via the Defender CLI or GitHub connectors, with findings reviewed in the Microsoft Defender portal before human security engineers decide on action. No autonomous patching. Human validation is mandatory for all findings.
From MDASH to Project Perception
MDASH and Project Perception are distinct products with a clear relationship, as WindowsNews detailed in its MDASH private preview coverage:
| MDASH | Project Perception | |
|---|---|---|
| Status | Private preview (select customers) | Launching by end of July 2026 |
| Access | Within Microsoft Security Exposure Management | Standalone commercial SKU |
| Scope | Windows components + GitHub repos | Code repos, cloud infra, endpoint telemetry, config DBs, SBOMs |
| Output | Findings in Defender portal | Evidence-backed reports mapping vulns to running workloads |
Project Perception expands the scan surface beyond Windows code into enterprise cloud infrastructure — a broader mandate that NewsBytesApp confirmed Microsoft plans to bring to market this month.
No official pricing has been announced for Project Perception. It is expected to be sold as a separate SKU outside existing bundles like Microsoft 365 E5.
The Cost Angle vs. Anthropic Mythos
Anthropic Mythos 5 created the AI vulnerability-finding category. Mythos pricing sits at $10 per million input tokens and $50 per million output tokens — the highest publicly available rate for any generally available model. WindowsNews noted that Mythos’s API cost runs roughly 100% higher than Opus 4.8 and 82% higher than GPT-5.6 Sol.
Project Perception’s cost advantage is structural, not a discount: it reserves frontier-model reasoning only for the analysis steps that actually require it, while cheap models absorb the high-volume bulk work. If 80% of a scan’s token budget goes to triage that a $0.30/M input model can handle, the effective per-vulnerability cost drops substantially even if the per-token rate for the frontier tier is equivalent.
Microsoft’s additional advantage is deep integration with Windows Update, GitHub, Azure, and the Defender ecosystem — surface area that reduces the data ingestion and tooling overhead a Mythos deployment would require a customer to build from scratch.
Builder Implications
Three patterns worth noting for builders doing multi-model or security-adjacent work:
1. The routing pattern is proven at production scale. MDASH found 4 critical kernel-level RCE flaws using a tiered routing strategy. For builders designing multi-model pipelines, the pattern is now validated: reserve expensive reasoning capacity for the tasks where it demonstrably matters; route everything else to cost-efficient inference.
2. Human-in-the-loop on remediation is the responsible design. MDASH and Project Perception both require human review before any fix is applied. This is the pattern the industry is converging on for high-stakes agentic outputs — not because the models aren’t capable, but because the blast radius of an autonomous security patch on a kernel component is unacceptable. Builders designing agentic workflows in sensitive domains (code changes, infrastructure mutations, financial transactions) should expect this pattern to become the default.
3. Breadth of scan surface matters more than depth alone. Mythos excels at deep reasoning over a bounded scope. Project Perception’s design expands to code repos, cloud infra, endpoint telemetry, configuration databases, and software bills of materials simultaneously. For enterprise buyers, the coverage surface is a real procurement factor — especially as regulatory pressure on SBOM management increases.
What We Don’t Know Yet
Microsoft has not announced Project Perception’s launch date beyond “by the end of July 2026,” and no pricing or enterprise licensing tiers have been confirmed. The private preview of MDASH is select-customers-only, with no public waitlist announced. No benchmark comparison between Project Perception and Mythos on a standardized vulnerability set has been published.
When Project Perception launches officially, the metrics to watch: time-to-triage per CVE, false-positive rate on bulk scanning, and cost-per-confirmed-critical finding vs. Mythos on the same codebase.
Sources: Microsoft Security Blog, May 12 2026; SiliconAngle, May 13 2026; The Hacker News, May 2026; WindowsNews on Project Perception; WindowsNews on MDASH private preview; NewsBytesApp on launch timeline