7 Layers: Check Point VP Unpacks the Latest in Cloud Security, AI, ChatGPT
In this episode of the 7 Layers podcast, TJ Gonen, VP of Cloud Security at Check Point sat down with SDxCentral Editor Nancy Liu to delve into the ever-changing world of cloud security – specifically emerging trends in the evolution of the cloud threat landscape. Furthermore, we will explore how advanced artificial intelligence (AI) and machine learning (ML) technologies, such as ChatGPT, are being utilized to enhance cloud security, and discuss the most promising AI and ML-based cloud security solutions. Check Point Research recently reported a 48% year-over-year increase in cloud-based cyberattacks for 2022, as organizations increasingly move operations to the cloud. “There are just way more cloud assets, so it's very natural for more attacks to happen on such a large estate,” Gonen told SDxCentral. “Another thing that's happening more and more, it's already a reality … is that more critical assets are moving to the cloud.” “That speed of change and scale of cloud is the number one reason for this increase in cybersecurity attacks,” he added. “So, operationalizing cloud security at speed and scale and keeping up is going to continue to be the biggest challenge.” AI and ML technologies can help address this issue as “[what] they are actually very good at is to move fast, is to automate stuff.” The Check Point Research team recently published several studies into OpenAI’s ChatGPT and Codex. “[What] Codex and ChatGPT show to all of us is what AI can do now,” Gonen said. “It just showed what impact it can have on almost everything we do in life, not just the technology nerds.” He noted Check Point has been using AI across the board for four years. “When you connect the security solution, you might find yourself with thousands of alerts, and sometimes thousands of alerts is a bigger problem than no alerts,” Gonen said. “One of the ways that we're using, for example, machine learning and AI, is to take these alerts and instead of just throwing them at the user, we actually use machine learning and AI to prioritize and talk about or focus only on the risks that matter. ” He also expects AI and ML technologies to replace some of the security layers that today are driven by humans. “For example, I think that we are maybe a year away from replacing, what's called in the security world, the tier-one analyst — the people who take alerts from a bunch of places and sit in a SOC and try to correlate them to understand what happens on the first tier.” “That's perfect because you can focus more on the higher-skilled individuals,” Gonen added. Listen to the full interview now. Learn more about your ad choices. Visit megaphone.fm/adchoices