Khurram Chhipa currently serves as General Counsel at Halborn, a leading cybersecurity company in the Web3 space. With expertise spanning blockchain security, compliance, and digital risk management, he brings a unique perspective to the intersection of law and technology. Outside of work, Khurram enjoys spending time with family and friends.

In this episode…

Artificial intelligence is changing how cybersecurity teams detect and respond to threats. What once required manual monitoring has evolved into an adaptive solution that uses predictive modeling to identify risks sooner. While AI can strengthen security defenses, it also raises questions about accuracy and the need for human oversight.

For legal and security teams working in fast-moving sectors like blockchain, AI offers efficiency yet also introduces new risks. Large language models (LLMs) can help general counsels generate contracts and prepare for negotiations, yet they require human oversight to spot and correct errors. That's why companies need to develop clear playbooks, train teams, and implement a continuous review process to ensure responsible AI use. For security teams, the same principle applies. While predictive AI tools can identify threats earlier, security teams should also test their incident response readiness through tabletop exercises and encourage employees to adopt a don't trust, verify" mindset to guard against threats like deepfakes.

In this episode of She Said Privacy/He Said Security, Jodi and Justin Daniels talk with Khurram Chhipa, General Counsel at Halborn, about how AI is transforming cybersecurity. Khurram explains how AI is reshaping threat detection, why human oversight is essential when using AI in legal and security contexts, and provides practical strategies for implementing safeguards. He also describes the growing AI arms race and its impact on cybersecurity, and he provides tips on how companies can mitigate AI deepfake threats through custom training and implementing advanced security measures.

Adapting Cybersecurity Measures for the Age of AI