Topic

Tool Poisoning

Tool poisoning refers to the malicious compromise or manipulation of software tools, libraries, or dependencies used in AI development pipelines to inject harmful code or alter model behavior. In enterprise AI governance, this represents a critical supply chain security risk where attackers can introduce vulnerabilities, backdoors, or data exfiltration mechanisms through trusted development resources. Organizations must implement rigorous dependency verification, software composition analysis, and secure build practices to prevent poisoned tools from contaminating AI systems and compromising their safety, security, and compliance posture.

1 item

StandardsGlobal2026-06-17

OWASP Agentic AI Report Flags Tool Poisoning and Multi-Agent Failures as Top Enterprise Governance Gaps

OWASP published the State of Agentic AI Security and Governance 2.0, a comprehensive practitioner report covering autonomous AI system risks, governance frameworks, and regulatory standards applicable globally. The report identifies tool poisoning and multi-agent coordination failures as priority risks and advises enterprise teams to shift from model-centric benchmarks to system-behavior evaluation. It is intended as a practical reference for deployment safety and compliance architecture.

Agentic AI Security Frameworks Multi-Agent Systems Tool Poisoning OWASP