THREAT OPS › Threat News › The Agentic AI Threat Model: Prompt Injection, Context Poisoning, and Agent Behavior Drift
The Agentic AI Threat Model: Prompt Injection, Context Poisoning, and Agent Behavior Drift
OverviewAn agentic AI threat model is a security framework for understanding how autonomous AI systems can be manipulated, misled, or drift out of policy as they interact with tools, data sources, memory, and enterprise systems.Agentic AI changes the security equation by extending risk beyond model outputs to the full chain of decisions, actions, and connected systems an agent can influence.Agenti
Attributed threat actors
- EquationG0020
MITRE ATT&CK techniques
- VulnerabilitiesT1588.006
- Generative AIAML.T0016.002
- System PromptAML.T0069.002