The Agentic Insider:
From Monitoring to Understanding
AI agents are reshaping insider risk. Learn where monitoring falls short, why behavioral context is essential, and what finance needs to support investment.
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2026 GLOBAL REPORT
Inside the Report
The rise of AI agents as a new class of insider risk
How organizations are approaching autonomous AI agent monitoring
Why understanding AI agent behavior requires more than activity monitoring
The biggest gaps in behavioral context and visibility
The disconnect between cybersecurity risk and budget approval
What finance leaders need to approve AI security monitoring investments
Key Findings
This research report presents findings from a global survey of 600 enterprise security and finance leaders on AI agent risk, monitoring, behavioral understanding, and security investment.
AI Agents Have Become a New Class of Insider Risk
48% of security leaders say AI agents or autonomous systems operating with excessive, compromised, or unintended access pose the greatest threat to their organization today.
Organizations Are Expanding AI Agent Monitoring
60% of security leaders use dedicated AI security or governance tools. Organizations combine multiple approaches to AI agent monitoring, including dedicated AI security or governance tools, existing security platforms, behavioral monitoring and manual review.
Behavioral Context Is the Biggest Limitation of Current Monitoring
27% of security leaders identify limited behavioral context and correlation as the biggest limitation of their current monitoring approach.
Risk Alignment Does Not Always Lead to Security Investment
55% of security leaders have delayed or scaled back a security initiative because they could not frame the risk in financial terms their CFO would accept.
Understand the New Insider Risk of AI Agents
As organizations deploy AI agents and autonomous systems, they are changing the nature of insider risk.
This research examines how security and finance leaders assess AI agent risk, monitor autonomous systems, and manage the security and business implications of the agentic enterprise.
The findings show that organizations are expanding AI agent monitoring, but visibility alone is not enough. Security teams still struggle to connect activity across systems, permissions, and business context. Security and finance leaders broadly agree on cybersecurity risk, but that agreement does not always lead to investment. Security teams must show measurable business impact to secure budget approval.
DOWNLOAD THE GLOBAL REPORT
AI Agents are reshaping insider risk now
Learn how organizations monitor autonomous AI agents, where behavioral context remains a critical gap, and what finance needs to support security investment.
Read the Report
Download this report to gain insight into:
- The rise of AI agents as a new class of insider risk
- How organizations are approaching autonomous AI agent monitoring
- Why understanding AI agent behavior requires more than activity monitoring
- The biggest gaps in behavioral context and visibility
- The disconnect between cybersecurity risk and budget approval
- What finance leaders need to approve AI security monitoring investments
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