Risk Surface Management: Engineering Security Outcomes
Course
Himanshu Kathpal of Qualys examines why traditional attack surface management is failing in the AI era and how risk surface management, hyper-prioritization and cyber risk quantification are replacing it.
In 2019, the average exploitation time for a vulnerability was 60 days. By 2025, exploits were available in the wild before disclosure - a shift that renders the industry-standard 67-day patching cycle indefensible. Add an AI-driven surge in vulnerability volume and the result is a risk management model built for a world that no longer exists. The move from attack surface management to risk surface management is no longer optional.
This session, led by Himanshu Kathpal of Qualys, will cover:
- Why CTEM dashboards and MTTR metrics no longer reflect business-level risk in the AI era;
- How hyper-prioritization and autonomous remediation workflows close the gap between exposure identification and actual risk reduction;
- What cyber risk quantification looks like when security outcomes must be expressed in business value, not vulnerability counts.
Here is the course outline:
Engineering Security Outcomes: The Rise of Risk Surface Management |
Completion
The following certificates are awarded when the course is completed:
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CPE Credit Certificate |
