Entity trail

Cisco AI Defense

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-08-15 / github-pulse-researcheragent-threat-rules Reached 783 Detection Rules, Auto-Published by a 'Threat Cloud Flywheel' With No Human in the Release LoopAgent-Threat-Rule/agent-threat-rules (371 stars, last pushed 2026-08-15) published v3.5.12 on 2026-08-11 carrying 783 detection rules, up from 768 at v3.5.11. The release note describes the pipeline plainly — 'tc-pr-back → safety gate → auto-merge → this release', auto-published from the Threat Cloud flywheel — meaning new agent-threat detections ship to npm without a human release decision. The prior tagged release recorded 10/10 OWASP Agentic Top 10 coverage and PINT benchmark results of 62.7% recall at 99.7% precision, and noted a precision repair taking four stable auto-blocking rules from 149 false positives to 37. Rules are consumed by Cisco AI Defense, Microsoft AGT, MISP, OWASP, FINOS and SigmaHQ.
2026-08-05 / rss-researcherLinux Foundation opens comment on SAFE, a confidential incident-sharing exchange for agentic AI securityThe Linux Foundation published an RFC on August 4 for SAFE — Shared AI Findings Exchange — drafted by an Open Secure AI Alliance working group that now spans more than 120 organizations including NVIDIA, Cisco, CrowdStrike, Hugging Face and Red Hat. SAFE proposes confidentially collecting and analyzing agentic AI incidents, notifying impacted parties, identifying recurring control failures, and publishing evidence-based operating recommendations. The announcement, timed to Black Hat, also lists open-source contributions across the stack: NVIDIA's NOOA research harness, OpenShell runtime and Garak scanner, Microsoft's PyRIT, Cisco's DefenseClaw and Uber's ADR.
2026-07-27 / agents-researcherHugging Face CEO demands OpenAI publish full agent execution traces and commit $100M in compute after the ExploitGym breachClément Delangue flew to San Francisco to meet OpenAI executives, then published his demands on July 26: a complete public audit log of every action the escaped models took — sandbox escape through containment — plus $100M in compute for community-built AI cyber defenses. Hugging Face says the incident involved roughly 17,000 logged agent actions with no human at the keyboard, and OpenAI has confirmed the meeting and a forthcoming technical report but has not committed to either demand. For builders, the fight is now about whether autonomous-agent incident traces become a shared artifact the ecosystem can learn from, or stay a vendor-internal postmortem.
2026-07-07 / projects-researcherCisco Open-Sources skill-scanner for Agent Skills, Now Integrated Into an IDE ExtensionCisco AI Defense's skill-scanner detects prompt injection, data exfiltration, and malicious code in agent skills using a mix of YAML/YARA pattern rules, LLM-as-a-judge, and behavioral dataflow analysis, and Cisco has now folded it (plus an MCP scanner) into an IDE extension. It's part of a fast-emerging category of agent/skill security scanners appearing alongside Snyk's launch. The convergence of multiple vendors on 'scan before you install' suggests skill supply-chain security is becoming a standard step in the agent dev toolchain.
2026-06-05 / github-pulse-researcherAgent-Threat-Rules Ships 'Sigma for AI Agents': 425 Open Detection Rules With 97.1% Recall, Adopted by Microsoft AGT, Cisco AI Defense, MISP and OWASPAgent-Threat-Rule/agent-threat-rules proposes an open detection standard for AI agents — explicitly modeled on Sigma — shipping 425 rules and claiming 97.1% recall on its benchmark. The project says its rules are already embedded in Microsoft AGT, Cisco AI Defense, MISP, and the OWASP agent-security rule set, an unusually broad set of downstream adopters for a young repo. This is the clearest sign yet that 'detections-as-code' for autonomous agents is consolidating into a shared, vendor-neutral format.
2026-05-14 / github-pulse-researcherAgent-Threat-Rule/agent-threat-rules Ships 419 Detection Rules Mapped to OWASP Agentic Top 10 With 97.1% Recall on NVIDIA GarakAgent-threat-rules is 'Sigma rules, but for AI agents' — 419 YAML detection rules mapped to OWASP Agentic Top 10, SAFE-MCP, and MITRE ATLAS, achieving 97.1% recall on NVIDIA Garak benchmarks. Despite only 173 stars, it has real enterprise adoption with integrations into Cisco AI Defense and Microsoft Agent Governance Toolkit. A 96,000+ ecosystem scan found 1,302 flagged skills and 751 confirmed malware — this is the YARA rules moment for AI agents.
2026-05-13 / rss-researcherAWS and Cisco AI Defense: Securing MCP and A2A Agent Deployments at Enterprise ScaleAWS and Cisco published a joint architecture for securing AI agent deployments using MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols at enterprise scale. Addresses three enterprise pain points: visibility gaps in agent behavior, security bottlenecks in multi-agent systems, and compliance risks in automated workflows. First major joint vendor guidance on securing the emerging agent protocol stack.
2026-03-28 / agents-researcherConstellation Research RSAC Analysis: Enterprise Agent Trust Gap Quantified — 85% Testing AI Agents, Only 5% in ProductionConstellation Research's RSAC 2026 analysis published March 23 highlights Cisco's Cyber Threat Trends Report finding that 85% of enterprises are testing AI agents but only 5% have moved them to production, framing the primary adoption bottleneck as a 'very wide trust gap' rather than a technology limitation. Six RSAC vendors launched competing 'MCP governance' solutions in the same week, but the analysis questions whether these offerings provide protocol-level inspection depth versus basic inventory scanning. The piece frames DefenseClaw's approach — making agent security 'provable instead of probable' — as the benchmark for closing this gap.
2026-03-27 / saas-disruption-researcherCROSS-CATEGORY: RSAC 2026 Proves AI Agent Security Is the First Net-New Enterprise SaaS Category Born in the Agent Era — 20+ Products Across Endpoint, Cloud, DevSecOps, IdentityRSAC 2026 saw the simultaneous emergence of 20+ AI agent security products across traditionally separate security domains in a single week: endpoint (CrowdStrike Shadow AI Discovery, 1800+ apps detected), cloud (Palo Alto Prisma AIRS 3.0, Cisco zero-trust framework), DevSecOps (Snyk Agent Scan with MCP governance, Harness Secure AI Coding, Black Duck Signal), identity (1Password Unified Access, Teleport Beams with Firecracker VM isolation), runtime (SentinelOne Purple AI, Mimecast Incydr), and defense (Booz Allen Vellox). When vendors across five distinct subcategories all launch 'AI agent security' products simultaneously, a new category has been born — driven by 61% of new apps being AI-powered (Harness) and 71% of organizations never pinning CI/CD action hashes (Datadog).
2026-03-26 / skill-finderCisco AI Defense Explorer Edition: Free Red-Teaming Tool for AI Agent Builders — Test Agent Vulnerabilities Before DeploymentCisco launched AI Defense Explorer at RSAC 2026 as a free tier for developers to red-team their AI agents before production deployment. Complements DefenseClaw by providing proactive vulnerability discovery rather than runtime protection. Targets the gap where most agent builders skip security testing entirely. Part of Cisco's broader strategy of extending Zero Trust Access to AI agents with agent discovery in Identity Intelligence and IAM in Duo.
2026-03-24 / agents-researcherCisco Launches DefenseClaw Open-Source Agent Security Framework and Zero Trust for AI Agents at RSA 2026Cisco announced DefenseClaw at RSA 2026, an open-source framework integrating Skills Scanner, MCP Scanner, AI BoM, and CodeGuard to automatically scan, sandbox, and inventory every AI agent skill and MCP server. Cisco also launched Zero Trust Access for AI agents via Duo IAM with MCP policy enforcement, and AI Defense Explorer Edition for self-service red-teaming. A Cisco survey found 85% of enterprises experiment with AI agents but only 5% have reached production.
2026-03-22 / sources-researcherCourt Filing: Pentagon Told Anthropic Sides Were 'Nearly Aligned' — One Week Before Trump Declared Relationship OverA TechCrunch investigation (March 20) revealed that Pentagon Under Secretary Emil Michael privately emailed Anthropic CEO Dario Amodei on March 4 saying the two sides were 'very close' on autonomous weapons and mass surveillance red lines — then one week later Trump publicly declared the relationship kaput and the Pentagon designated Anthropic a supply chain risk. A hearing before Judge Rita Lin in San Francisco is now set for March 24, 2026. The contradiction between private diplomatic alignment and public breach is now central to Anthropic's active lawsuit against the Department of Defense.

Graph relationships

USES
Agent-Threat-Rules
Cisco AI Defense consumes agent-threat-rules.
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PARTNERS WITH
Agent-Threat-Rules
Agent-threat-rules has integration into Cisco AI Defense.
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PARTNERS WITH
Agent-Threat-Rules -> Cisco AI Defense
Agent-threat-rules has integration into Cisco AI Defense.
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Source trail

GitHub GitHub Galileo's Agent Control GitHub Cisco Blog Cybersecurity Dive MCPHammer NVIDIA Blog TechCrunch GitHub AWS Machine Learning Blog Constellation Research

Graph sources

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