Artificial Intelligence & Machine Learning , Next-Generation Technologies & Secure Development , Threat Hunting

Exploring Generative AI's Role in Threat Hunting

Threat hunters always assume a network has been compromised, no matter what security measures are in place. They make educated guesses about where to look for threats across networks, databases and infrastructure. Some organizations use simulations, but training them is a highly manual process.

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That may be changing over the next few years, as emerging artificial intelligence and machine learning technologies have the potential to transform the job of threat hunting, predicted Rohit Shrivastava, vice president of cyber defensive operations with a multinational bank. Organizations can now train generative AI models to explore datasets, vulnerabilities and applications - potentially creating new approaches for threat hunters to explore.

"It will help us to have some really good hypotheses that otherwise would not have been discovered because of some limitations of the human brain," Shrivastava said.

In this video interview with Information Security Media Group, Shrivastava discussed:

• Confusion around the capabilities of generative AI;
• Use cases for generative AI in threat hunting;
• Potential risks posed by generative AI technology;

Shrivastava, a cybersecurity expert with over 15 years of experience in information technology and cybersecurity, leads cyber defensive operations at a leading bank and previously worked as an assistant vice president of threat management at IDFC First Bank. He also worked with BMC Software, Atos Consulting, Tata Communications and FTI Consulting, in the areas of security operations, incident response, digital forensics, malware analysis, detection engineering, threat hunting, threat intelligence and dark web monitoring.