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# Check Point CTO Jonathan Zanger sees AI elevating the value of cyber

**[CSO Online](https://daily.dev/sources/csoonline)** · 7 min read · 2 upvotes · 0 comments

## Summary

Check Point Software's global CTO Jonathan Zanger discusses how AI is reshaping cybersecurity at both the offensive and defensive levels. He argues that AI's non-deterministic nature demands a fundamentally new security approach, as traditional deterministic system protections no longer apply. Zanger highlights that AI has dramatically scaled both attacker capabilities (enabling more phishing, ransomware, and malware campaigns with less expertise) and defender capabilities (Check Point now runs ~300 AI agent instances for continuous red-team testing). He stresses that security must be baked into AI projects from the start, warns that serious vulnerabilities have been found in every AI platform analyzed over the past year, and identifies three key innovation areas: AI-strengthened defense operations, protection of AI applications themselves, and defending against AI-driven attacks. Explainability of automated blocking decisions is flagged as a critical need for organizations.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.csoonline.com/article/4195311/check-point-cto-jonathan-zanger-sees-ai-elevating-the-value-of-cyber.html>

## Questions this post answers

### Why do AI agents create new security challenges compared to traditional deterministic software systems?

Traditional systems are deterministic, producing predictable output from the same input, which makes them easier to secure. AI agents understand natural language, handle ambiguity, and behave less predictably, so protecting them requires a different security approach. Their risk also grows with the number of systems they connect to, since more connections mean a larger attack surface.

_Teams weighing how much system access to grant an AI agent can track this debate on daily.dev._

### How is Check Point using AI to scale its red team and threat detection operations?

Check Point combines human red teams with roughly 300 AI agent instances that continuously monitor and test its systems, making testing operations about 20 times more efficient than before. This scaling lets the company identify vulnerabilities, assess security posture, and respond to threats faster without being limited purely by the number of skilled human analysts available.

_Security engineers exploring AI-scaled red teaming can follow developments like this on daily.dev._

### What did Check Point find when it analyzed the security of major AI platforms and development tools?

Serious vulnerabilities were uncovered in every AI platform analyzed over the past year, as well as in all major AI development tools examined. The finding underscores that innovation in AI products has often outpaced security, meaning organizations should not assume a platform is secure simply because it comes from a reputable vendor.

_Anyone vetting AI platform security before adoption can keep track of findings like this via daily.dev._

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---

Tags: [#ai](https://daily.dev/tags/ai), [#security](https://daily.dev/tags/security), [#cyber](https://daily.dev/tags/cyber), [#ai-agents](https://daily.dev/tags/ai-agents)

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