In ASI01: Agent Goal Hijack, attackers manipulate an agent's goals, task selection, or decision paths – for example via indirect Prompt Injection in web pages, documents, or emails – because models cannot reliably distinguish instructions from content. ASI06: Memory & Context Poisoning, by contrast, describes the persistent corruption of the context window and long-term memory, which influences decisions even after the original session ends and can spread across cooperating agents.
OWASP Top 10 for Agentic Applications
The ten key security risks of autonomous AI agents – from Agent Goal Hijack to Rogue Agents – based on the official OWASP publication (version 2026, December 2025).
10risks ASI01 through ASI10 in the established OWASP Top 10 format
2026version of the publication — published in December 2025
4multi-agent and trust risks in ASI07 through ASI10 alone
2companion documents: Agentic AI Threat Navigator and Securing Agentic Applications Guide
With the OWASP Top 10 for Agentic Applications 2026 (version 2026, published in December 2025), the OWASP Gen AI Security Project and its Agentic Security Initiative present a Top 10 list specifically for agentic AI applications. Unlike classic LLM applications, AI agents plan, decide, and act autonomously across multiple steps and systems – often on behalf of users and teams. The ten risks ASI01 through ASI10 follow the established OWASP Top 10 format with descriptions, typical weaknesses, attack scenarios, and actionable countermeasures. They build on the threat taxonomy “Agentic AI – Threats and Mitigations” (ASI01, for example, corresponds there to T06 Goal Manipulation and T07 Misaligned & Deceptive Behaviors) and reference, among others, the OWASP Top 10 for LLM Applications as well as the AI Vulnerability Scoring System (AIVSS) for prioritization.
The Essentials at a Glance
Six topic blocks — tap to expand.
Four risk clusters from ASI01 to ASI10
Each tab bundles related risks from the publication — tap a tab for details.
- ASI01: Agent Goal Hijack — attackers manipulate an agent's goals, task selection, or decision paths, for example via indirect Prompt Injection in web pages, documents, or emails, because models cannot reliably distinguish instructions from content.
- ASI06: Memory & Context Poisoning persistently corrupts the context window and long-term memory — influencing decisions even after the original session ends and potentially spreading across cooperating agents.
Agent Goal HijackIndirect Prompt InjectionMemory & Context PoisoningContext windowLong-term memory
- ASI02: Tool Misuse and Exploitation covers the abuse of legitimate tools within authorized privileges — for example data exfiltration by chaining internal and external tools, over-privileged APIs, or poisoned tool descriptions (Tool Poisoning).
- If the manipulation leads to unexpected or injected code execution, ASI05: Unexpected Code Execution (RCE) applies — for instance when an agent executes shell commands hidden in inputs or runs self-generated code without review.
Tool MisuseTool PoisoningOver-privileged APIsData exfiltrationUnexpected Code ExecutionRCE
- ASI03: Identity and Privilege Abuse covers inherited permissions during delegation, cached credentials, and Confused Deputy attacks in which a compromised agent gets a higher-privileged agent to act on its behalf.
- ASI04: Agentic Supply Chain Vulnerabilities addresses the supply chain of agentic systems — from compromised MCP and registry servers and manipulated tool descriptors to vulnerable third-party agents.
Confused DeputyInherited permissionsCached credentialsMCP serversTool descriptorsThird-party agents
- ASI07: Insecure Inter-Agent Communication — unencrypted or unauthenticated agent-to-agent communication enables manipulation, replay, and spoofing.
- ASI08: Cascading Failures describes how individual faults amplify system-wide across coupled agents.
- ASI09: Human-Agent Trust Exploitation exploits people's trust in agents, for example through fabricated justifications; ASI10: Rogue Agents covers agents that permanently deviate from their intended behavior without active attacker control.
Inter-Agent CommunicationReplaySpoofingCascading FailuresFabricated justificationsRogue Agents
Standards & Sources
The content on this page is based on the following publicly available guides and studies.
OWASP Top 10 For Agentic Applications 2026
Defines the ten agentic risks ASI01–ASI10 with descriptions, attack scenarios, and countermeasures (version 2026, December 2025).
Agentic AI – Threats and Mitigations
Foundational threat taxonomy with reference architecture, threat model, mitigation strategies, and example threat models (version 1.1, December 2025).
Securing Agentic Applications Guide
Practical guide (version 1.0, July 2025) for the secure architecture, development, deployment, and operation of agentic applications – including single-agent, orchestrator, and swarm systems.
Agentic AI Threat Navigator
One-page cheat sheet that leads to the relevant agentic threats via six guiding questions (including tools and execution, memory and context, identity, multi-agency).
Deploying agentic AI systems securely
VamiSec supports you with consulting, threat modeling, and penetration testing to secure AI agents along the OWASP guidelines – from architecture to operations.