Agentic AI Expands Threat Model for Enterprise Security

Zscaler published a blog post titled "Agentic AI Threat Model: Prompt Injection, Context Poisoning, and Agent Behavior Drift" that frames agentic AI risks across the full agent lifecycle. According to Zscaler, three core threats are central: prompt injection, context poisoning, and agent behavior drift. The post describes controls spanning build-time adversarial testing and prompt hardening, deployment-time discovery and posture assessment, and runtime guards plus monitoring and remediation, all presented as lifecycle requirements by Zscaler. Zscaler also emphasises that operational maturity requires visibility, continuous enforcement, and phased implementation to address permissions, persistent context, and multi-step workflows. The blog is positioned as a practical security framework for organisations operating agentic systems.