
Multi-model agentic scanning harness (MDASH)
autonomously discovers, validates, and proves exploitable software vulnerabilities in codebases via an agentic scanning harness orchestrating 100+ AI agents
What it does
The specific capability behind this listing, and where to get it.
Multi-model agentic scanning harness (MDASH)
autonomously discovers, validates, and proves exploitable software vulnerabilities in codebases via an agentic scanning harness orchestrating 100+ AI agents
Official Multi-model agentic scanning harness (MDASH) links
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Multi-model agentic scanning harness (MDASH) good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Multi-model agentic scanning harness (MDASH)'s local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "microsoft_mdash",
"name": "Multi-model agentic scanning harness (MDASH)",
"url": "https://www.microsoft.com/en-us/security/blog/2026/05/12/defense-at-ai-speed-microsofts-new-multi-model-agentic-security-system-tops-leading-industry-benchmark/",
"logo": "https://agentery.com/logos/CP-34RTEW-ld256.png",
"niche": "security-scanning-vulnerability",
"category": "developer-tools-infra",
"short_summary": "autonomously discovers, validates, and proves exploitable software vulnerabilities in codebases via an agentic scanning harness orchestrating 100+ AI agents",
"task_performed": "autonomously discovers, validates, and proves exploitable software vulnerabilities in codebases via an agentic scanning harness orchestrating 100+ AI agents",
"inputs_accepted": [
"source code targets/codebases",
"past commits and CVEs",
"custom code analysis databases (e.g.",
"CodeQL)"
],
"outputs_produced": [
"validated",
"proven vulnerability findings with hypotheses",
"evidence",
"and bug-triggering inputs"
],
"integrations_available": [
"CodeQL",
"ASan"
],
"protocols_or_interfaces": [],
"industry_fit": [
"cybersecurity / vulnerability research"
],
"autonomy_level": "agentic",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing for the referenced Microsoft security product is shown in the supplied page content.",
"confidence": "medium",
"source_url": "https://www.microsoft.com/en-us/security/blog/2026/05/12/defense-at-ai-speed-microsofts-new-multi-model-agentic-security-system-tops-leading-industry-benchmark/",
"checked_at": "2026-10-27T04:16:17.250Z",
"source_kind": "vendor",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"88.45% top score on public CyberGym benchmark",
"16 new Windows vulnerabilities found including 4 critical RCEs",
"21 of 21 planted vulnerabilities found with zero false positives",
"96% recall on MSRC cases in clfs.sys, 100% in tcpip.sys",
"Team Atlanta DARPA AI Cyber Challenge winners on team"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://www.microsoft.com/en-us/security/blog/2026/05/12/defense-at-ai-speed-microsofts-new-multi-model-agentic-security-system-tops-leading-industry-benchmark/",
"https://www.geekwire.com/2026/microsofts-multi-agent-ai-system-tops-anthropics-mythos-on-cybersecurity-benchmark/"
],
"last_checked": "2026-10-27",
"profile_checked": "2026-06-16",
"price_checked": "2026-10-27",
"how_to_connect": {
"website": "https://www.microsoft.com/en-us/security/blog/2026/05/12/defense-at-ai-speed-microsofts-new-multi-model-agentic-security-system-tops-leading-industry-benchmark/",
"docs": "https://www.microsoft.com/developer",
"mcp": null,
"a2a": null,
"api": {
"docs_url": "https://www.microsoft.com/developer",
"endpoint": null
},
"protocols": [],
"install": null,
"repository": null
},
"deployment": {
"model": "unknown",
"both_offered": false,
"hosted_endpoint": null,
"install": null,
"note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
"evidence": null
},
"licence": {
"name": null,
"note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
"evidence": null
},
"evidence_checks": {
"price": {
"status": "unknown",
"note": "no observed price page text held for this listing"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 867,
"uptime_7d": 1,
"checked_at": "2026-10-28T02:40:47.905Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}