Palo Alto CEO Nikesh Arora sees AI driving security consolidation

Palo Alto Networks Chairman and CEO Nikesh Arora used a company news event to argue that AI is changing what corporate buyers ask for. The trigger, as he described it, is the arrival of AI models that can find software vulnerabilities quickly — a job that used to take weeks or months, or that companies would not bother to attempt. After the emergence of the model he called "Mythos," Palo Alto Networks tested its own environment and turned up about 1,200 potential vulnerabilities, then spent three to four months sorting out which were real and fixing them.

That experience sits behind the customer conversations Arora described. He said Palo Alto Networks has spoken with roughly 2,000 companies, in discussions involving CEOs, CIOs and chief security officers. The demands he listed are for testing, faster response times, data integration and SIEM capabilities — the connective tissue that lets alerts from email, endpoints, cloud systems and firewalls be read together. That is the mechanism behind his view that AI will accelerate vendor consolidation, as enterprises lean toward integrated platforms rather than separate tools.

The company's own testing also informs how it sells. Arora said Palo Alto Networks offers testing services using multiple AI models, and that about 60% of vulnerabilities it identified came through Mythos, about 30% through OpenAI models, and the rest through other models — a split he cited as evidence that different models catch different flaws. On the product question, he was measured: frontier AI models will likely enhance rather than replace existing security enforcement products, while the company pursues AI-related traffic through Prisma AIRS. The outcome for buyers hinges on whether integrated platforms really deliver that cross-signal view at scale, and on how quickly the multi-model testing approach proves more reliable than the alternative.