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Zscaler: AI Threats and Zero Trust in 2025

Zscaler
07/12/2026
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for cybersecurity? AI is powerful, AI is dangerous. You can simply ask AI to tell anything about your enterprise, a given company's how many firewalls are there, how many VPN systems, what vulnerabilities do they have and how do I attack them, it's all out there. And once you get in, you can even find which systems are more valuable that I should go and attack after. So AI is helping bad guys, but AI is also helping companies like Zscaler who can actually get ahead and build better protection. The worry I have is, hackers have no inertia, large corporations have inertia, we all sit on the systems we deploy and sit on for a long time, that's our biggest weakness. And related to that is, humans kind of get comfortable with what we have, we need to change that. If we've spent all of that money, why are we not there yet? And what do we have to do to get to the place where we at least feel like we're kind of like managing this exponential threat or keeping pace with it? The network and security technologies we are using today is about 30 plus year olds. It's the same firewalls, they may have gotten a little more sophisticated. A firewall is like a moat around the castle, so bad guys can't get in. Our applications are out there in the cloud, in SaaS applications, in plants and factories, our users are no longer sitting in the office connected to the company network that's supposed to be trusted and good network. So the model of network security, about securing the network is broken. You must change your network, your network is still the old school network, your security is the old school firewall-based security. Firewalls will move out, they become like mainframe. You need to get to zero trust architecture, that's what's going to change, otherwise you keep on adding more and more firewalls, you create complexity. Complexity is the enemy of security, complexity is the enemy of resilience.

TL;DR

  • AI enables attackers to rapidly discover enterprise vulnerabilities, enumerate infrastructure, and identify high-value targets for exploitation.
  • Large enterprises suffer from dangerous inertia, remaining dependent on 30-year-old firewall and VPN architectures that no longer match how applications and users operate.
  • The traditional perimeter security model is fundamentally broken now that applications live in the cloud and users work from anywhere outside trusted corporate networks.

Summary

Zscaler CEO Jay Chaudhry delivers a pointed assessment of the cybersecurity landscape heading into 2025, warning that AI has fundamentally changed the threat equation. Attackers can now use AI to rapidly enumerate enterprise infrastructure—identifying firewalls, VPN systems, and vulnerabilities—then prioritize high-value targets for exploitation. While AI also empowers defenders, Chaudhry argues that large enterprises suffer from dangerous inertia, clinging to 30-year-old network security paradigms built around perimeter defenses. The traditional firewall-as-moat model has broken down as applications migrate to cloud and SaaS environments while users work from anywhere. Chaudhry's prescription is unambiguous: organizations must abandon legacy firewall-centric architectures and adopt zero trust. He frames this not as incremental improvement but as architectural transformation, warning that adding more firewalls only creates complexity—and complexity is the enemy of both security and resilience. The preview positions zero trust as the necessary response to an exponentially evolving threat landscape.

Chapters

0:00 - AI as Threat Multiplier
0:46 - Enterprise Inertia Problem
1:18 - Legacy Architecture Critique
1:55 - Zero Trust Imperative

Key Quotes

0:11 "AI is powerful, AI is dangerous."
0:46 "The worry I have is, hackers have no inertia, large corporations have inertia, we all sit on the systems we deploy and sit on for a long time, that's our biggest weakness."
2:17 "Complexity is the enemy of security, complexity is the enemy of resilience."

FAQ

Why does Chaudhry say traditional network security is broken?

The firewall-as-moat model assumed applications lived inside the corporate perimeter and users connected from trusted office networks. With applications now distributed across cloud, SaaS, and operational environments—and users working from anywhere—the concept of a protected network perimeter no longer applies.


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