OWASP Agentic Top 10

What the OWASP Agentic Top 10 Covers

The OWASP Agentic Top 10 is a practitioner-focused risk ranking for autonomous AI agents that can invoke tools, access information, and take actions. It is meant to help teams reason about the most common and consequential failure modes before those agents are widely deployed.

Its value is that it turns a fast-moving design space into a shared security language. Instead of treating every agentic system as a generic AI app, the Top 10 separates issues such as prompt injection, tool misuse, excessive privilege, memory poisoning, and identity abuse into concrete classes that can be assessed and controlled.

Why Agentic Systems Create Distinct Security Exposure

Agentic systems are riskier than passive model deployments because they do more than generate text. Once an agent can call tools, send requests, or trigger workflows, a compromised prompt or poisoned instruction can become an action path, not just a bad answer. The security boundary shifts from content quality to runtime authority.

That is why the framework focuses on autonomy, delegation, and the interaction between model output and external systems. A weakness in any one layer can cascade into data exposure, unauthorized actions, or destructive workflow execution if the agent is allowed to act too freely.

The framework also reflects a practical reality: the same agent may operate across chat, orchestration, memory, APIs, and third-party integrations. Each of those surfaces can change the blast radius, especially when the agent is trusted to make decisions on behalf of a user or system.

How the Top 10 Organises Real-World Failure Modes

The OWASP Agentic Top 10 groups risk around recurring patterns rather than product-specific flaws. That makes it useful across vendors and architectures, including agents embedded in workflows, copilots with actions, multi-agent systems, and agentic browser or tool chains.

Common themes include instruction hijacking, unsafe tool invocation, overbroad permissions, insecure inter-agent trust, memory and context poisoning, and supply-chain weaknesses in the agent stack. These are not abstract concerns, they are the conditions that let an agent be steered, escalated, or tricked into doing the wrong thing with legitimate access.

For teams mapping an implementation to the framework, the important question is not whether an agent is “intelligent” enough, but whether it has enough authority, persistence, and external reach to turn a mistake into impact.

How Teams Use It in Architecture and Governance

The Top 10 is most useful when it is applied during design reviews, threat modelling, and rollout gates. It gives architects and security teams a checklist for asking whether an agent truly needs each tool, each scope, and each downstream action path.

It is also a governance aid. If an agent can act on behalf of a person, application, or business process, teams need clarity on ownership, approval boundaries, logging, and revocation. The framework helps make those decisions explicit before operational shortcuts become permanent risk.

Used well, it becomes a bridge between AI delivery teams and security stakeholders: the first group describes the agent’s intended behaviour, and the second checks whether the runtime authority matches that intent.

Risk and Threat Considerations

Agentic systems expand the attack surface because they can convert malicious input into privileged action. The core risk is not just model manipulation, but abuse of the trust the agent has been given across tools, sessions, and integrated services.

Failure mechanism: An attacker or poisoned dependency steers the agent through prompt injection, tool abuse, or identity misuse, then uses the agent’s legitimate permissions to reach data, actions, or systems the attacker could not access directly.

Impact: The result can be unauthorized transactions, data exfiltration, workflow corruption, lateral movement through integrations, or persistent abuse when the agent retains access longer than intended.

Practitioner Guidance

Why practitioners should care: Security reviews for agentic systems should focus on what the agent is allowed to do, not only what it is allowed to see. If authority is broader than task need, the agent becomes an amplification point for mistakes and abuse.

Governance implication: Ownership should cover the full agent lifecycle, including approval of tools, permission scope, logging, kill switches, and retirement. The security decision is whether the agent’s runtime authority is small enough to be defensible.

Practitioner takeaway: Treat the agent as an active operator with bounded authority, then validate that every tool and action path is justified, monitored, and revocable.

Related resources from NHI Mgmt Group

• Guide: OWASP Top 10 for Agentic Applications Guide
• What are the core risks identified by the OWASP Agentic Top 10?
• How should security teams map the OWASP Top 10 for Agentic Applications into existing control frameworks and threat models?
• What is the difference between the OWASP LLM Top 10 and the OWASP Agentic Top 10?
• What are the OWASP Top 10 risks for agentic applications in 2026?