Most Continuous Threat Exposure Management (CTEM) programs don’t fail in design—they fail in execution. At ROCon EMEA, Kunal Modasiya breaks down how organizations can move beyond static frameworks and actually operationalize cyber risk management using agentic AI and a Risk Operations Center (ROC) model. The session highlights a growing challenge: attackers are now operating at machine speed, leveraging AI to accelerate exploit development and reduce time to attack. Meanwhile, most organizations are still relying on manual remediation workflows—creating a gap that continues to widen. Kunal walks through how a modern ROC approach closes that gap by unifying risk signals across the entire attack surface, prioritizing what truly matters, validating real-world exploitability, and automating remediation workflows. A key insight: not all vulnerabilities are equal. In fact, less than 1% are truly exploitable in a given environment. The challenge isn’t visibility—it’s identifying that critical 1% and acting on it fast enough to reduce real risk. The session also explores how agentic AI is transforming this process. From continuous discovery and prioritization to automated validation and remediation, AI-powered agents enable security teams to operate at the speed of modern threats—without removing humans from the loop. The takeaway is clear: CTEM defines the program, but ROC enables the outcome. And in an AI-driven threat landscape, execution at speed is what separates visibility from actual risk reduction. Recorded live at ROCon EMEA. Start building your Risk Operations Center today: https://www.qualys.com/apps/enterprise-trurisk-management Stay up to date on upcoming events: https://www.qualys.com/company/events Watch more sessions from ROCon EMEA: https://www.qualys.com/rocon/2026/emea

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