What Is OWASP Top 10 for Agentic Applications? Definition

By NHI Mgmt Group Updated October 23, 2026 Domain: Agentic AI & Autonomous Identity

A risk framework that identifies the most common security weaknesses in AI agents that act on their own. It focuses on failures such as prompt injection, tool misuse, data leakage, unsafe autonomy, and weak identity controls across agent workflows, helping teams secure agent behavior, access, and decision paths.

What the OWASP Top 10 for Agentic Applications Covers

The owasp top 10 for Agentic Applications is a security reference for AI systems that can take actions, use tools, and make decisions with limited supervision. It highlights the most common failure modes that make agents unsafe, unreliable, or abusable in production.

Its value is that it turns a fast-moving design space into a practical risk language. Teams can use it to discuss agent autonomy, trust boundaries, tool access, memory handling, and where a workflow may hand too much authority to a model-driven system.

Why Agentic Systems Need a Different Risk Lens

Agentic applications are not just chat interfaces with better prompts. They can chain steps, retain context, call tools, and act across multiple systems, which means a weakness in one step can spread into the next. A prompt injection, for example, is dangerous not only because it changes output, but because it may redirect an agent into unsafe actions, data exposure, or privilege misuse.

This is why the framework focuses on behaviors rather than only software defects. The danger is often in the combination of autonomy, external inputs, and delegated authority, especially when the agent can read, write, or execute on behalf of a user or service.

Core Weaknesses the Framework Groups Together

The framework brings together failures such as prompt injection, tool misuse, memory poisoning, insecure inter-agent communication, overbroad authority, and unsafe autonomy. Each of these can break a different layer of the agent workflow: instruction handling, decision making, action execution, or trust between cooperating agents.

It also helps distinguish between problems that look similar on the surface but behave differently in practice. A model that produces the wrong answer is a quality issue; an agent that uses the wrong tool, leaks data, or executes the wrong action is a security issue with real operational impact.

For a broader control perspective, teams often map these concerns to OWASP Agentic AI Top 10 because it names the dominant abuse paths in a way that is useful for design reviews and threat modelling.

How Teams Use the Framework in Design and Review

The most useful way to apply this framework is to trace the agent’s end-to-end path: what it can see, what it can remember, what it can call, and what it is allowed to change. That review exposes where instructions can be manipulated, where trust is assumed, and where a single compromised input can affect downstream actions.

It is also a useful structure for deciding which controls belong around the agent. Some issues need input filtering or content isolation; others need tighter tool policy, per-action approval, or stronger separation between agent context and sensitive material. The framework helps keep those choices tied to the actual failure mode rather than to generic AI concerns.

Risk and Threat Considerations

Agentic systems concentrate risk because they connect interpretation, authorization, and execution. When an attacker can influence the agent’s instructions, retrieved context, or tool selection, they may be able to trigger unwanted actions, expose sensitive data, or pivot through connected systems.

Failure mechanism: A hostile prompt, poisoned memory item, or abused tool interface changes the agent’s behavior at the point where it still has legitimate access, letting the attacker turn trusted automation into an execution path.

Impact: The result can include data leakage, unauthorized transactions, lateral movement through connected tools, and persistent compromise of the workflows the agent can reach.

Standards & Framework Alignment

This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.

OWASP Agentic AI Top 10 and MITRE ATT&CK address the attack and risk surface, while NIST AI RMF and OWASP ASVS set the governance and control requirements practitioners need to meet.

Framework	Control / Reference	Relevance
OWASP Agentic AI Top 10	ASI01 — Agent Goal Hijack	Directly covers agents being steered off intended objectives by hostile inputs.
	ASI02 — Tool Misuse	Directly addresses unsafe or abused tool invocation by agents.
	ASI03 — Identity & Privilege Abuse	Directly fits the framework's concern with delegated authority and excessive agent access.
Recommendation — Detect and constrain goal-steering inputs that can redirect agents away from approved tasks. Restrict tool permissions and validate each tool call against policy before execution. Enforce least privilege and per-action authorization for agent identities and delegated access.
NIST AI RMF	GOVERN — Govern	Applies to governance of AI risk, accountability, and oversight for agentic systems.
	MAP — Map	Applies to identifying agent context, dependencies, and risk sources before deployment.
	MANAGE — Manage	Applies to ongoing treatment of AI risks once agentic weaknesses are identified.
Recommendation — Assign accountable owners and review agent risk decisions through a governed AI process. Map agent inputs, outputs, tools, and dependencies to identify where risk enters the workflow. Treat agentic failure modes with documented controls, monitoring, and risk treatment decisions.
MITRE ATT&CK	T1059 — Command and Scripting Interpreter	Applies when an agent can be induced to execute commands or scripted actions through tools.
	T1105 — Ingress Tool Transfer	Applies to agents or tools that retrieve or stage external code and content into execution paths.
	T1552 — Unsecured Credentials	Applies where agent workflows expose credentials, tokens, or other secret material.
Recommendation — Hunt for command execution paths when agent tool use can trigger scripted actions. Inspect agent workflows for inbound content or code transfer that can enable execution or staging. Search agent contexts and logs for exposed credentials and rotate any material that was disclosed.
OWASP ASVS	V6 — Authentication	Supports agent-adjacent interfaces that must authenticate users or services correctly.
Recommendation — Verify that every agent-facing interface authenticates the caller before granting sensitive actions.

Practitioner Guidance

Why practitioners should care: The framework is most useful when it is treated as a design and governance tool, not just a taxonomy of AI bugs. It should shape how teams assign authority, define safe tool boundaries, and decide which actions require human confirmation.

Common misunderstanding: Many teams focus only on prompt quality and miss the fact that agent security depends just as much on delegated access, tool trust, and the integrity of the agent’s working context. If those layers are loose, a well-behaved prompt still can produce an unsafe outcome.

Practitioner takeaway: Use the framework to review the full action chain, then tighten the points where the agent can inherit trust, cross boundaries, or turn an untrusted input into a real-world effect.

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NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on October 23, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org

OWASP Top 10 for Agentic Applications