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Simplifying Threat Detection and Response Using AI


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Kunal Sehgal and Steven Sim Kok Leong explore predictive threat intelligence frameworks, AI-powered security operations orchestration, and implementing Detection-as-Code solutions to combat increasingly sophisticated AI-driven cyberattacks.

In 2024, advancements in artificial intelligence have resulted in increasingly sophisticated exploits by threat actors, such as deepfake technology used in misinformation campaigns and AI-powered phishing attacks that closely imitate legitimate communications.

Looking ahead to 2025, the use of AI in threat intelligence and automated response will undergo significant transformations, reshaping the tools, strategies and collaborative efforts aimed at combating advanced, AI-driven cyberattacks. Organizations need to adapt their security approaches to stay ahead of evolving threats while ensuring efficient and effective response mechanisms.

The session will cover:

  • How to develop predictive threat intelligence frameworks for proactive defense;
  • Methods for integrating AI-powered orchestration across security operations;
  • Best practices for implementing and scaling Detection-as-Code solutions.

Here is the course outline:

Simplifying Threat Detection and Response Using AI