Agents Are Insiders
Practical Advice For Governing Agentic AI
What human insider risk management teaches us about securing agentic AI
As organisations move AI agents from pilots into production, this technology is gaining access to email, databases, APIs, code repositories, and business-critical workflows. What happens when your newest insider isn't human?
This whitepaper introduces a practical framework for governing agentic AI based on the proven principles of Insider Risk Management, helping organisations apply the right controls to the right risks before incidents occur.
Our Practical Advice For Governing Agentic AI
When organisations classify agent risk according to the cause of failure and enforce appropriate controls through a semantic layer, they move from reactive AI security to proactive AI governance.
Download this whitepaper for these insights and more:
- Why AI agents should be treated as insiders rather than traditional software
- How insider risk management principles apply directly to agentic AI
- The four-agent insider risk taxonomy and how to use it
- How to align controls with specific agent failure modes
- The role of the semantic layer in enforcing policy decisions
Secure Agentic AI Using a Proven Risk Model
Learn how insider risk management provides the missing framework for governing AI agents at scale. Get "Agents Are Insiders" today.