Agentic AI Security
Built for Autonomous AI Agents
Agentic AI systems introduce an entirely new class of security threats. FortifAI executes adversarial payloads against your AI agent endpoints to detect prompt injection, tool abuse, data leakage, and all 10 OWASP Agentic threat categories — before attackers do.
npx fortifai scan · No agent-side code changes required
What Is Agentic AI Security?
Agentic AI security is the discipline of testing, monitoring, and protecting autonomous AI agents — systems that use large language models (LLMs) to plan, make decisions, and execute actions through tools, APIs, and external resources.
Unlike traditional application security, agentic AI security must contend with emergent, probabilistic behavior. An AI agent doesn't follow a fixed code path — it reasons dynamically, which means vulnerabilities manifest as behavioral deviations under adversarial pressure, not as deterministic bug triggers.
The attack surface includes: the system prompt, user inputs, retrieved documents (RAG), tool outputs, memory stores, agent-to-agent communication channels, and the model's own reasoning process. Every one of these is a vector for prompt injection, data exfiltration, or tool abuse.
OWASP formalized this threat landscape in the OWASP Agentic Top 10 — the definitive framework for agentic AI threat categories, covering goal hijacking, memory poisoning, tool misuse, privilege escalation, data exfiltration, and more.
OWASP Agentic Top 10 Threats
FortifAI tests for every category in the OWASP Agentic Top 10 — the industry-standard threat taxonomy for autonomous AI agent systems.
Prompt Injection & Goal Hijacking
Adversarial instructions embedded in prompts, retrieved documents, or tool output force the agent off its intended objective.
Learn more →Memory Poisoning
Malicious data written to agent memory corrupts future behavior across sessions.
Tool & Resource Misuse
Agents are coerced into invoking tools outside their intended scope, enabling unauthorized system actions.
Privilege Escalation
Agents gain unintended capabilities through role confusion, leaked credentials, or delegated authority abuse.
Context Manipulation, Exfiltration & More
Context tampering, unauthorized data exfiltration, supply chain poisoning, cascading failures, and observability gaps complete the OWASP Agentic Top 10.
How FortifAI Secures Agentic AI Systems
Agentic AI Security — Frequently Asked Questions
What is agentic AI security?
Agentic AI security is the practice of testing, monitoring, and protecting autonomous AI agents from adversarial attacks, prompt injection, tool abuse, data leakage, and other vulnerabilities specific to LLM-based agent systems. It covers all 10 categories in the OWASP Agentic Top 10 threat framework.
What are the biggest threats to agentic AI systems?
The OWASP Agentic Top 10 defines the most critical threats: Goal & Prompt Hijacking (AA1), Memory Poisoning (AA2), Tool Misuse (AA3), Privilege Escalation (AA4), Context Manipulation (AA5), Unauthorized Data Exfiltration (AA6), Repudiation (AA7), Supply Chain Poisoning (AA8), Cascading Agent Failures (AA9), and Insufficient Observability (AA10).
How do you test agentic AI systems for security vulnerabilities?
Agentic AI security testing involves running adversarial payloads against AI agent endpoints, simulating prompt injection attacks, testing tool abuse scenarios, checking for data leakage paths, and validating behavioral responses under attack conditions. FortifAI automates this with 150+ adversarial payloads via npx fortifai scan.
What is the difference between AI security testing and traditional security testing?
Traditional security testing targets fixed code paths and known vulnerability patterns (SQLi, XSS, etc.). Agentic AI security testing targets emergent behaviors — how an AI agent responds to adversarial inputs, poisoned context, tool manipulation, and multi-step attack chains that exploit the probabilistic nature of LLMs.
What frameworks does FortifAI support for agentic AI security testing?
FortifAI supports security testing for AI agents built on LangChain, AutoGen, CrewAI, OpenAI Agents SDK, and any custom HTTP-based agent endpoint. The CLI works with any LLM agent that exposes an endpoint.
Start Testing Your AI Agents Today
FortifAI scans your AI agents against 150+ adversarial payloads and maps every finding to the OWASP Agentic Top 10. Results in under 90 seconds.