The Paradigm Shift: A Three-Phase Approach to Enterprise AI Security

The average cost of a data breach in the US has hit an all-time high of $10.22 million. Is your AI strategy worth the risk?

As enterprise AI shifts to critical infrastructure, security leaders are finding their existing tools broken. Legacy WAFs cannot stop real-time prompt injections, and static API scanners miss the logic-based vulnerabilities of autonomous agents. You cannot secure what you cannot see, trust what you haven't stressed, or control what you cannot block.

In our new whitepaper, "The Paradigm Shift: A Three-Phase Approach to Enterprise AI Security", we present a unified three phase strategy to close these gaps:

Phase I: Inventorize: Build a dynamic AI-BOM to map the "blast radius" of every agent, including the sensitive data and tools they access.
Phase II: Red Team: Move beyond brittle API scanning with autonomous, browser-based red teaming to expose deep logic flaws.
Phase III: Protect: Operationalize a self-healing loop with adaptive runtime guardrails that instantly convert findings into active defenses.

Stop managing AI risk in silos.

In our new whitepaper, "The Paradigm Shift: A Three-Phase Approach to Enterprise AI Security", we present a unified three phase strategy to close these gaps:

Phase I: Inventorize: Build a dynamic AI-BOM to map the "blast radius" of every agent, including the sensitive data and tools they access.
Phase II: Red Team: Move beyond brittle API scanning with autonomous, browser-based red teaming to expose deep logic flaws.
Phase III: Protect: Operationalize a self-healing loop with adaptive runtime guardrails that instantly convert findings into active defenses.

Stop managing AI risk in silos.