Agentic AI
Agentic AI describes AI systems that plan, decide, and act autonomously across multiple steps and external tools, going beyond generating responses to executing actions on behalf of users or organizations.
What Makes AI "Agentic"
The distinction between generative AI and agentic AI is not the model, it is what the model is allowed to do. A generative AI system produces outputs, text, images, code, in response to a prompt. An agentic AI system takes an objective, breaks it into steps, calls external tools to execute those steps, evaluates the results, and iterates. The model reasons about actions, not just responses.
See agentic AI vs generative AI for a fuller comparison. The short version: generative AI is a producer of content, agentic AI is a doer of things.
Why Agentic AI Is a Distinct Risk Category
Because agentic systems act, their failure modes are not just wrong answers. They are wrong actions taken in real systems, with real consequences. An agent that misinterprets an instruction can send an email to the wrong recipient, execute a database query that leaks sensitive data, or approve a payment that should not have been made.
The security risks of AI agents in the enterprise include prompt injection that hijacks agent behavior through untrusted content, tool poisoning that compromises the tools an agent relies on, and permission-scope failures that let an agent take actions it should never have been authorized to take.
Governing Agentic AI
A mature AI program treats agentic systems as a distinct category with distinct controls. Agent permissions and scoping, continuous monitoring of agent actions, and human oversight checkpoints for high-stakes decisions are all standard components of agentic AI governance.
How Kovrr Approaches Agentic AI
Kovrr's AI Security and Governance Platform discovers agentic systems across the enterprise, catalogs their tool access and permissions, and monitors their behavior for anomalies. Agentic AI is treated as a first-class asset type in the AI risk register, with its own scenarios, controls, and exposure calculations.
Related Terms
Full AI Visibility. Full Control. One Connected Platform.
Enterprise AI is expanding faster than most governance programs can track. Kovrr connects every AI signal across browser, endpoint, network, identity, and vendor systems into a single platform so security, governance, and risk teams work from the same evidence.
