{"id":198579,"date":"2026-03-23T18:58:00","date_gmt":"2026-03-23T22:58:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/03\/23\/zscaler-ceo-ai-cant-replace-mission-critical-traffic-inspection-requiring-100-reliability\/"},"modified":"2026-03-23T19:10:11","modified_gmt":"2026-03-23T23:10:11","slug":"zscaler-ceo-ai-cant-replace-mission-critical-traffic-inspection-requiring-100-reliability","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/03\/23\/zscaler-ceo-ai-cant-replace-mission-critical-traffic-inspection-requiring-100-reliability\/","title":{"rendered":"Zscaler CEO: AI can’t replace mission-critical traffic inspection requiring 100% reliability"},"content":{"rendered":"

Zscaler CEO: AI can’t replace mission-critical traffic inspection requiring 100% reliability<\/a><\/p>\n

https:\/\/247wallst.com\/investing\/2026\/03\/23\/zscaler-ceo-ai-cant-replace-mission-critical-traffic-inspection-requiring-100-reliability\/<\/a><\/p>\n

Publish Date: 2026-03-23 18:58:00<\/a><\/p>\n

Source Domain: 247wallst.com<\/a><\/p>\n

Author: <\/a><\/p>\n

Using an unordered list, summarize the following article with between 4 and 8 key points. <\/p>\n

At the annual RSA cybersecurity conference, Zscaler (NASDAQ:ZS) Chairman and CEO Jay Chaudhry sat down to address a question rattling investors: can AI replace what Zscaler does?
\nThe concern wasn\u2019t hypothetical. A release from Anthropic sent cyber stocks lower as investors interpreted it as suggesting AI could simplify or replace certain cybersecurity functions. Chaudhry\u2019s response was direct:
\n\u201cWhen you\u2019re 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\u2019s where AI doesn\u2019t really happen.\u201d
\nHis argument: AI can handle tasks like detecting code vulnerabilities, but cannot replicate the global distributed infrastructure and 100% reliability requirement that inline traffic inspection demands. Think of it like air traffic control: you can automate a lot of aviation, but you can\u2019t have the system go down 2% of the time when planes are in the air.
\nHe also flipped the AI threat narrative entirely. Chaudhry has previously discussed the concept of 50 to 100 AI agents per employee \u2014 a massive proliferation of non-human entities that each need to be screened and secured. Every one of those agents is a potential attack surface. Where users are today\u2019s weakest link, AI agents become tomorrow\u2019s. That\u2019s not a threat to Zscaler\u2019s business; it\u2019s an expansion of its addressable market.
\nThe numbers back up the demand signal. 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\u2019s Q2 revenue hit $815.75M, up 25.91% year-over-year, with ARR reaching $3.36B growing 25% year-over-year. The company raised full-year FY2026 ARR guidance to $3.730B\u2013$3.745B.
\nWhere We\u2019d Push Back
\nChaudhry\u2019s argument is coherent, but it deserves scrutiny. CEOs have an obvious incentive to frame existential threats as tailwinds. The \u201c100% reliability\u201d moat sounds durable today, but AI capabilities are compounding fast. What\u2019s genuinely impossible for an AI-native security architecture to handle in 2026 may look very different by 2028 or 2029.
\nThe stock\u2019s -32.51% year-to-date decline from a 52-week high of $336.99 tells you the market isn\u2019t fully buying the reassurance either. Analysts remain largely constructive, with 39 buy ratings versus 9 holds and zero sells \u2014 but the gap between the $234.79 analyst target and the current price near $151.80 reflects real uncertainty.
\nChaudhry\u2019s core thesis, that AI creates more attack surface requiring more inspection, not less, is the right framework for thinking about Zscaler\u2019s long-term positioning. But investors should hold that alongside an honest question: how long does \u201cAI can\u2019t do this\u201d remain true in a field where AI capabilities are rewriting the rules every 12 months.<\/p>\n

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