Close the security gap agentic AI has opened
AI agents operate in ways traditional security controls were not built to observe. An agent can interpret a prompt, reason through a task, call tools, and act autonomously. Most controls cannot see the full chain where decisions are made and actions are carried out.
That gap looks different depending on what the agent is, where it runs, and what it can access.
Local agents, managed agents, and custom agents each create a different trust problem for security leaders.
This white paper explains where existing controls go blind, how agentic attacks exploit those gaps, and what effective control looks like across visibility, runtime inspection, and tool-call enforcement.
What’s inside:
- Identify the visibility gap: See why traditional controls cannot observe the full chain between instruction and action
- Separate agent types: Understand how local, managed, and custom agents create different trust problems
- Map the attack paths: See how jailbreaks, indirect prompt injection, obfuscation, and multi-turn evasion target agent behavior
- Define runtime control: Learn why agent security requires visibility, inspection, and guardrails across the full chain
- Enforce before action completes: See why the tool call is the practical control point for stopping unsafe agent actions
- Prove what happened: Understand how a complete audit trail supports investigation, governance, and compliance review
