Rethinking Security for Agentic AI

Artificial intelligence has already transformed how enterprises operate, but the next wave of innovation, agentic AI, operates as autonomous or semi‑autonomous agents that can run code, interact with APIs, access databases, and make decisions on the fly. Organizations need to take immediate measures against security threats that can occur when software systems transition from producing passive text output to performing active operational tasks.

From Prompt‑Driven AI to Action‑Driven Agents

Organizations started their enterprise AI adoption with a focus on productivity gains. They incorporated LLMs into workflows to write documents, summarize data, and answer questions. Security issues centered on the misuse of prompts, data leaks, and privacy breaches. Though serious, organizations could manage these risks through standard security protocols which monitor input and output data and perform policy management and system surveillance.

Agentic AI shifts the equation. More than just responding to queries, agents act for users or ...