The Collapse of Detection Engineering in the Age of AI
Course
Mohd. Shadab Siddiqui of JioStar examines why detection engineering is reaching its limits against AI-generated attack patterns and what an AI-native detection stack must look like to replace it.
Artificial intelligence-powered systems such as Glasswing are forcing a hard reset on detection engineering. When attackers can generate polymorphic attack paths, rewrite payloads on the fly and evade controls in real time, static rules and even behavior-based models begin to fail at scale.
This session will examine why detection engineering, as it exists today, is reaching its limits, and what CISOs are doing to rebuild it for an AI-native threat environment. The focus will be on practical shifts: from rule-writing to system design, from alerts to adaptive intelligence, and from reactive SOCs to anticipatory defense.
In this session, Mohd. Shadab Siddiqui, senior vice president and CISO, JioStar, will explore:
- Why traditional detection logic is failing against AI-generated attack patterns;
- Moving from rule-based SOCs to adaptive, learning-driven defense;
- What an AI-native detection stack actually looks like.
Here is the course outline:
The Collapse of Detection Engineering in the Age of AI |
Completion
The following certificates are awarded when the course is completed:
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CPE Credit Certificate |
