As we navigate through 2026, the integration of Agentic AI into enterprise applications is moving rapidly from experimental to foundational, but this shift brings a profound change in threat modeling. Security operations centers must evolve their perspective: AI is no longer just a tool we use, it is a new class of digital persona operating within our networks, possessing its own expanding attack surface. Agentic AI models execute tasks, access databases, and interact with other APIs autonomously, so securing these ecosystems means continuously auditing not just the code, but the AI inputs, contextual instructions, and the complex pathways from the model to the application layer. Threat actors are actively developing techniques for prompt injection, model poisoning, and logic manipulation designed to turn these digital personas against their creators. Investigating these emerging, automated interactions requires an architecture built specifically for the complexities of an AI-driven ecosystem; traditional log analysis falls short when the “user” is a non-deterministic algorithm. Your AI SOC solution provides the clarity needed to trace the logic and actions of these digital personas, ensuring that as your enterprise embraces AI automation, your investigative capabilities can secure it.
More Information: https://www.zscaler.com/br/blogs/product-insights/agentic-ai-threat-model-prompt-injection-context-poisoning