Enterprise AI Security: Exposure Management Evolves
Summary
Exposure management is evolving from basic vulnerability scanning to a full-stack defense for enterprise AI. AI has fundamentally changed cybersecurity, shrinking exploit windows from days to minutes. This forces organizations to rethink how they manage risk across cloud infrastructure, identities, and AI workloads. Here's the thing: traditional scanning and manual patching can't keep up with machine-speed threats. Exposure management is now an organizing framework for security teams, moving them from reactive to proactive risk reduction. Jason Merrick of Tenable Holdings Inc. explains that exposure management is a program, not just a product. It looks beyond traditional IT to include cloud and identities, connecting everything within an organization's context. What's interesting is that exposure management at machine speed requires AI-native defense. Tenable chose Snowflake for its security data lake to help manage sprawling, siloed data from numerous acquisitions. Tenable's new Hexa agentic framework aims for AI-driven remediation and automation. The bottom line: this shift is crucial for businesses to keep pace with rapidly evolving cyber threats.
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