From Chat to Agents
AI is evolving from chat interfaces to autonomous agents that decide what tools to call, what data to access, and what actions to take — often without human approval for each step.
| Generation | How It Works | Human Involvement |
|---|---|---|
| Chat | Human types, AI responds | Every interaction |
| Copilot | AI suggests, human approves | Every action |
| Agent | AI decides, calls tools, acts | Minimal — oversight, not approval |
The Agent Loop
An AI agent follows a continuous reasoning loop:
| Step | What Happens | Security Implication |
|---|---|---|
| 1. Observe | Receives a task or trigger | What data does the agent receive? Is it sensitive? |
| 2. Reason | Decides what action to take | Can the reasoning be manipulated? |
| 3. Act | Calls a tool (API, database) | What permissions does this tool have? |
| 4. Evaluate | Checks result, decides next step | Does it know when to stop? |
Each cycle is an invocation. AI Agent Security tracks these across your organisation.
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Think Deeper
Try this:
A vulnerability scanner and an AI agent both automate security tasks. What's fundamentally different about securing an agent?
A scanner follows a fixed script — its behaviour is deterministic. An AI agent decides what to do next based on reasoning, which means its behaviour is non-deterministic. You can't write a policy for every possible action because you can't predict them all. Agent security must be behaviour-based, not rule-based.
Key insight: Agents are not chatbots. They act autonomously, which means security must be
automated too. You can't review every agent decision manually — you need visibility, policy, and anomaly detection.