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Nikesh Arora on AI cybersecurity

From Palo Alto Networks CEO: "AI Found 5 Years of Bugs in 6 Weeks" · · All-In Podcast

“In 6 weeks we found vulnerabilities which would have normally taken us 5 to seven years to find. So Methos these are vulnerabilities where these are vulnerabilities in your own codebase or in your customer in your own code.”

Nikesh Arora
Chairman & Chief Executive Officer, Palo Alto Networks Inc
AI cybersecurityvulnerability detectionMethos

On , Nikesh Arora, Chairman & Chief Executive Officer at Palo Alto Networks Inc, spoke about AI cybersecurity during Palo Alto Networks CEO: "AI Found 5 Years of Bugs in 6 Weeks" on All-In Podcast.

Palo Alto Networks CEO: "AI Found 5 Years of Bugs in 6 Weeks"
Watch on YouTube at 2:54
Palo Alto Networks CEO: "AI Found 5 Years of Bugs in 6 Weeks"
All-In Podcast
Watch on YouTube at 2:54
(0:00) Palo Alto Networks CEO Nikesh Arora joins the Besties! (0:47) Claude Mythos found years of vulnerabilities in Palo Alto's code in weeks (5:15) Are cyber defenders losing the race against AI attackers? (6:50) Analytical SaaS is dead, so what survives the AI wave? (14:06) If models become a utility, where will the money be made? (20:35) Armchair CEO: Nikesh rates Waymo, Google, and OpenAI (28:22) Palo Alto's M&A playbook and the path to $1 trillion Follow Nikesh: https://x.com/nikesharora Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram:   / theallinpod   Follow on TikTok:   / theallinpod   Follow on LinkedIn:   / allinpod   Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg #allin #tech #news
Nikesh Arora

About Nikesh Arora

Chairman & Chief Executive Officer · Palo Alto Networks Inc

In recent appearances, Nikesh Arora, Chairman and CEO of Palo Alto Networks, has discussed the cybersecurity implications of advanced AI, including threats from autonomous agents and quantum computing. He stated that AI can be used for both beneficial and harmful purposes, comparing it to past technologies like nuclear power, and argued that the focus should be on deploying AI safely and securely rather than slowing its development. Arora described proposals for AI labs to voluntarily pace their model releases as "unrealistic," saying that not all developers would agree to such a framework. He also noted that nation states have been harvesting encrypted data in anticipation of future quantum computers capable of breaking current encryption. Arora discussed Palo Alto Networks' business performance and strategy, including its fiscal Q4 2026 results and the company's "platformization" approach, which he said is necessary for real-time defense against AI-powered attacks. He reported that the company achieved approximately 220 net new platformizations in the quarter and provided initial revenue growth guidance for fiscal year 2027 across its platforms. Arora also commented on the broader industry, saying that the cybersecurity sector faces a large amount of "technical debt" and that major breaches are likely in the coming years as customers work to modernize their infrastructure. He stated that the entire software industry will be rewritten over the next decade and that AI represents a long-term tailwind for cybersecurity.

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