AI is expanding the attack surface. Are your AI security controls keeping pace?
As enterprise AI adoption grows, new risks grow alongside it: employees turn to unsanctioned AI tools, sensitive data exposure increases, and AI agents gain access to data and systems.
Many enterprises still manage these AI security risks through point solutions, periodic reviews, and fragmented, after-the-fact monitoring, leaving security teams piecing together isolated signals and reacting to risks only after they compound.
Effective enterprise AI security and governance requires a new approach: one that brings unified visibility across the AI environment, flags emerging risks before they escalate, and helps teams move from detection to targeted action effortlessly.
This e-book shows how unified risk intelligence enables this approach to strengthen enterprise AI security and risk management—from shadow AI governance and AI agent privilege management to AI compliance.
You'll learn how to:
Gain unified visibility into AI usage, access, and security incidents with an AI security dashboard.
Track shadow AI growth and investigate what's driving unauthorized usage.
Investigate sensitive data-sharing events to understand where it is concentrated, who is involved, and how security controls respond.
Spot AI agent privilege escalation risks and prioritize agents that warrant closer review.
Build a unified AI compliance dashboard to track findings, policy violations, remediation, and control gaps continuously.
