OWASP published a new Top 10 list. This one is not about web applications, APIs, or mobile. It is about AI agents.
The OWASP Top 10 for Agentic Applications dropped in late 2025, built by over 100 researchers and practitioners. It describes the ten most critical security risks facing autonomous AI systems that plan, decide, and act on their own. If your product uses agents, or if agents interact with your product, this list redefines your threat model.
Here is what each category means and what your team should do about it.
ASI01: Agent Goal Hijack
An attacker redirects what the agent is trying to accomplish. Through prompt injection, poisoned content, or crafted inputs, the agent's objectives shift without anyone noticing. It still looks on-task. It is now serving the attacker.
Mitigation starts with input validation at every boundary where external content reaches agent decision logic. If your agents process user-submitted documents, emails, or web content, treat every input as potentially adversarial.
ASI02: Tool Misuse and Exploitation
Agents call tools: APIs, databases, shells, cloud services. Even when access is technically authorized, the agent can be steered into using those tools in destructive ways. Chaining internal APIs to exfiltrate data. Running shell commands that were never intended.
The fix is scoping. Every tool an agent can call needs a defined boundary: what it can access, what side effects are permitted, and what rate limits apply. If your agent has a database connection, it should not have DROP TABLE permissions. That sounds obvious. Most agent frameworks ship without those constraints by default.
ASI03: Identity and Privilege Abuse
Agents inherit user roles, cache credentials, and call other agents. Attackers exploit this delegation chain. A low-privilege request gets routed through a high-privilege agent, and the action executes with permissions the original user never had.
Give agents their own identities. Not human user tokens passed through. Distinct, auditable credentials with the narrowest permissions each task requires.
ASI04: Agentic Supply Chain Vulnerabilities
Agents are assembled from third-party parts: plugins, MCP servers, prompt templates, model weights, RAG connectors. If any component is compromised, the agent becomes the delivery mechanism.
This is software supply chain security applied to a new surface. Vet your dependencies. Pin versions. Monitor for unexpected behavior after updates. The same discipline you apply to npm packages now applies to agent toolchains.
ASI05: Unexpected Code Execution
Many agents can write and execute code. Prompt injection or poisoned packages can turn that capability into remote code execution inside your infrastructure.
Sandbox everything. Agents that generate code should run it in isolated environments with no access to production systems, secrets, or network resources beyond what the task demands.
ASI06: Memory and Context Poisoning
Agents store context across sessions: summaries, embeddings, RAG indexes. Attackers seed those stores with malicious entries so future decisions rely on poisoned data. Unlike a one-time bad response, this persists across sessions and users.
Treat agent memory as a security-critical data store. Validate inputs before they enter long-term memory. Implement integrity checks. Monitor for drift in agent behavior over time.
ASI07: Insecure Inter-Agent Communication
In multi-agent systems, agents coordinate through message buses, APIs, or shared memory. Without authentication and encryption on those channels, attackers can spoof messages, inject instructions, or insert rogue agents into the mesh.
Apply the same transport security standards you use for microservices. Mutual TLS. Signed messages. Schema validation on every exchange.
ASI08: Cascading Failures
One poisoned tool, one corrupted memory entry, one hallucination. In a single-agent system, the blast radius is limited. In a multi-agent workflow, that fault propagates and amplifies through every downstream agent consuming the output.
Design circuit breakers. If an agent's output fails validation, downstream agents should halt, not blindly continue. Build rollback points into multi-step workflows.
ASI09: Human-Agent Trust Exploitation
Agents sound authoritative. They write clean explanations, show polished previews, and mirror human tone. Attackers exploit that trust to manipulate humans into approving harmful actions, sharing credentials, or bypassing normal checks. The audit trail shows a human approval. The real origin was a manipulated agent.
Require out-of-band confirmation for high-risk actions. Never let an agent be the sole source of truth for decisions involving credentials, payments, or access changes.
ASI10: Rogue Agents
A rogue agent has not followed a corrupted instruction. It has diverged from its design intent entirely. It pursues hidden goals, games reward signals, or acts as an insider threat performing unpredictable sequences of actions.
Detection requires behavioral baselines. Monitor what agents access, where they send data, and how their tool usage patterns compare to expected behavior. Anomaly detection is not optional for autonomous systems.
Why This Matters Even If You Do Not Build Agents
Here is the part most teams miss. You do not need to deploy agents for this list to affect you.
If your web application or API is on the internet, agents are already interacting with it. Shopping assistants, research copilots, automated browsers. Some are legitimate. Some have been goal-hijacked, memory-poisoned, or fully compromised.
Your application is on the receiving end of agentic behavior whether you adopted the technology or not. The question is whether you can tell the difference between a legitimate agent and a compromised one hitting your endpoints.
Where Axeploit Fits
Axeploit is itself a fleet of AI agents. These agents work for you, not against you. They navigate your application autonomously, discover attack surface from behavior, and test for the vulnerabilities that agents, malicious or compromised, would exploit in the real world.
The ASI categories describe how agents go wrong. Axeploit tests whether your application holds up when they do. Broken access control that a rogue agent would chain. Endpoints that a goal-hijacked agent would probe. Auth flows that an identity-abusing agent would bypass.
One URL. Zero configuration. The agents handle the rest.
Start your first audit: https://panel.axeploit.com/signup
