Agentic AI Security: OWASP Top 10 with Enterprise Controls

Agentic AI systems can autonomously access data, invoke tools, and take actions. If misgoverned, they can misuse sensitive data, escalate privileges, or act beyond intent to create serious security, compliance, and accountability risks.

OWASP’s Top 10 for Agentic Applications (2026) outlines the most critical risks introduced by autonomous AI agents along with the controls enterprises need to govern data access, privileges, tools, and agent behavior.

CISOs, CDOs, CIOs, AI governance leaders, risk officers, and legal teams responsible for AI security, compliance, and enterprise accountability.

Unlike traditional models, agentic AI can act independently. This includes querying systems, chaining actions, and making decisions without constant human input. This amplifies the blast radius if controls are weak.

Yes. It maps OWASP risks to practical, enforceable enterprise controls, showing how organizations are operationalizing OWASP-aligned governance in real environments.

It’s practical and action-oriented. The infographic includes real-world examples and concrete control strategies, not just conceptual risk descriptions.

It clarifies how to demonstrate who had access, what the agent did, which data was used, and what controls were enforced that are critical for audits, investigations, and regulatory scrutiny.