Agentic AI is reshaping the enterprise. As autonomous systems begin to reason, plan, and act with minimal human intervention, they offer major gains in efficiency, decision-making, and scalability.
But autonomy changes the risk equation.
In connected, API-rich environments, agentic AI can amplify governance gaps, expose weak access controls, and create new pathways for attack. Especially as frontier models shrink the window between vulnerability discovery and exploitation.
So the real question isn’t whether to adopt agentic AI. It’s whether your business is ready to secure it.
Our latest whitepaper written by Sam Curry, CISO here at Zscaler, explores how organizations can reduce risk, strengthen resilience, and unlock the rewards of agentic AI with confidence.
48%
Of technology leaders report adopting agentic AI
79%
Of senior executives say agentic AI is already in use
3
Core risk factors determine exposure: data, access, and governance
Our latest whitepaper explores how organizations can reduce risk, strengthen resilience, and unlock the rewards of agentic AI with confidence. You’ll gain exclusive insights, and actionable frameworks to:
- Identify the three risk factors shaping exposure - poor data practices, access control gaps, and limited governance
- Prepare for machine-speed threats - by reducing exposure, strengthening resilience, and modernizing security architecture
- Build a secure operational foundation - with context-aware data, continuous verification, and scalable policy enforcement
Success in the agentic AI era depends on more than moving fast. It depends on moving with the right foundations.
Download the report now.
