This interview podcast episode of the Cloud Security Podcast by Google features Vijay Ganti, Director of Product Management at Google Cloud Security. The discussion centers on the historical pain points of using threat intelligence, focusing on the fragmentation of vendors, lack of context in threat data (often limited to lists of bad IPs), and the difficulty of operationalizing threat intelligence to create effective security defenses. Ganti highlights the transformative potential of AI, particularly large language models (LLMs), in automating the process of converting raw threat data into structured, actionable intelligence and subsequently into deployable security controls. He emphasizes that while AI significantly improves speed and quality, human oversight remains crucial. A key takeaway is the concept of "time to protection," which AI aims to drastically reduce, moving from months to minutes in deploying defenses against identified threats.
