As businesses move quickly to adopt agentic AI, many are realizing that traditional governance and security practices are not enough. When AI agents can access data, trigger workflows, and influence business decisions, organizations need stronger controls, better visibility, and reliable recovery to stay secure and resilient.
This analyst paper explores what it takes to support AI innovation without losing control.
In this paper, you’ll learn how to:
- Understand the biggest gaps in enterprise agentic readiness, including visibility, governance, and recovery
- Reduce data privacy, security, and compliance risk as AI agents access and act on enterprise data.
- Apply stronger controls for sensitive data, permissions, and AI usage across cloud, SaaS, and on-premises environments
- Improve resilience with more precise detection, response, and recovery from AI mistakes or malicious actions
Why this matters now:
Around
80%
Organizations
say AI agents are top/high priority
Only
6%
Executives
fully trust AI agents*
Over
30%
Orgs
list data privacy and security as top AI risks
*Harvard Business Review Analytic Services research (sponsored by Workato)