Security leaders face a new mandate: They must enable AI-driven innovation while maintaining visibility and control. Learn how zero trust makes this possible.

This on-demand webinar explores how to put the right guardrails in place to balance AI innovation with enterprise needs to protect corporate data.

Get insights into the latest enterprise AI adoption trends, risks, and security strategies.

In this report, Forrester examines how AI Red Teaming blends traditional offensive security practices with new testing approaches to help organizations uncover systemic AI risks.

The Zscaler CXO REvolutionaries Quarterly Cyber Update provides executives, board members, and public officials like you the latest information on hot topics and trends that affect cybersecurity and IT.

To safely harness the productivity benefits of AI, enterprises need a new security playbook—one that goes beyond simply blocking shadow AI and embraces a zero trust + AI security approach.

As employees, agents, and embedded AI expand across the enterprise, unknown usage creates security gaps and compliance exposure. Organizations must see their AI footprint before they can secure it.

Prompts, model interactions, and autonomous workflows create new escape pathways for sensitive data. Organizations must secure access to AI tools before these blind spots become breaches.

AI systems evolve, respond to prompts, and act autonomously. Without life cycle security from development through runtime, hidden vulnerabilities can undermine trust and expose the business.

Swamy Kocherlakota shares his perspective on why the shift toward agentic AI is redefining enterprise risk and why zero trust is the only viable path forward.