Zscaler CEO: AI can't replace mission-critical traffic inspection requiring 100% reliability
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Zscaler CEO: AI can't replace mission-critical traffic inspection requiring 100% reliability
""When you're talking about mission critical applications, sitting in line, inspecting traffic to make sure bad guys are not trying to reach your application, steal your data, you need a global distributed infrastructure that Zscaler has and 100% reliability. That's where AI doesn't really happen.""
""AI can handle tasks like detecting code vulnerabilities, but cannot replicate the global distributed infrastructure and 100% reliability requirement that inline traffic inspection demands.""
""Every one of those agents is a potential attack surface. Where users are today's weakest link, AI agents become tomorrow's.""
""Enterprise AI usage surged 91% year-over-year across more than 3,400 applications in Q2 FY2026, with data transfers to AI and ML applications up 93%.""
Zscaler's CEO Jay Chaudhry addressed concerns about AI replacing cybersecurity functions, emphasizing that AI lacks the global infrastructure and reliability required for inline traffic inspection. While AI can detect vulnerabilities, it cannot ensure the 100% reliability needed for mission-critical applications. Chaudhry also noted that the rise of AI agents per employee presents new security challenges, expanding Zscaler's market. Enterprise AI usage surged significantly, with Zscaler reporting strong revenue growth and raising its annual revenue guidance for FY2026.
Read at 24/7 Wall St.
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