Agentic AI Security Framework
AI Agents Attack Matrix
Comprehensive security framework for autonomous AI agents, multi-agent systems, and agentic AI environments. Complete attack vector analysis and defense strategies based on ttps.ai research.
50+
Attack Techniques
6
Attack Stages
15
Agent Categories
200+
Mitigation Strategies
AI Agents Attack Matrix Overview
Comprehensive mapping of attack techniques across the AI agent attack lifecycle based on ttps.ai research
| Attack Stage | Techniques | Primary Targets | Risk Level | Detection Difficulty |
|---|---|---|---|---|
| Reconnaissance | 12 techniques | ML Models, APIs, Code Repos | Medium | Low |
| Initial Access | 8 techniques | Agent Systems, APIs | High | Medium |
| Execution | 15 techniques | LLMs, Prompts, Tools | Critical | High |
| Persistence | 6 techniques | Memory, RAG, Training Data | Critical | Critical |
| Collection | 7 techniques | Data, Credentials, Models | High | Medium |
| Impact | 9 techniques | Services, Data, Systems | Critical | Low |
Critical Techniques
LLM Prompt InjectionCritical
RAG PoisoningCritical
Memory InfectionCritical
Tool Definition DiscoveryCritical
Defense Priorities
Input ValidationEssential
RAG SecurityEssential
Memory ProtectionEssential
Tool Access ControlEssential
Threat Landscape
Execution Stage RiskCritical
Persistence ThreatsCritical
Detection CapabilityMedium