# Jay Chaudhry

Jay Chaudhry is a cybersecurity business leader who speaks publicly about Zscaler’s Zero Trust approach and how organizations can secure AI adoption and AI agents.

- Profile: https://b2binfluencer.marketing/creators/jay-chaudhry/
- LinkedIn: https://www.linkedin.com/in/jaychaudhry
- LinkedIn followers: 125,292
- Topics: artificial-intelligence, cybersecurity, agentic-ai, ai-security, zero-trust
- Based on 12 dated posts, latest 2026-10-06

## Summary

Jay Chaudhry is most useful for explaining Zero Trust and AI agent security to executives.

- Best for: CISO-focused campaign about AI agent risk and Zero Trust architecture.
- Not for: Neutral product comparisons, sponsor pricing details, or hands-on developer tutorials.
- Check first: Confirm audience job titles, partnership terms, rates, approval process, and official contact route.

### Takeaways

- AI agents replace users as weakest link, making firewall and VPN security obsolete.
- Zero Trust hides attack surfaces and limits lateral movement.
- Organizational inertia, not security technology shortage, blocks progress.

## Main ideas

- **AI agents replace users as the weakest link, making firewall-and-VPN security obsolete**: Jay Chaudhry argues that users are today’s weakest link, but billions of AI agents will be tomorrow’s. Agents move at machine speed, never sleep, inherit broad privileges and roam corporate networks without boundaries. Firewalls, VPNs and castle-and-moat models assume a perimeter agents ignore.
- **Zero Trust is the architectural answer: hide attack surfaces and stop lateral movement**: Jay Chaudhry presents Zero Trust as the only adequate response. The posts emphasize two mechanisms: hiding applications behind a Zero Trust architecture so attackers cannot reach them, and preventing lateral movement so a compromise of one application or machine does not spread. Zscaler is described as sitting inline across the full AI workflow, with real-time visibility and access controls built in rather than bolted on. Every user and AI agent, the posts say, must be treated as untrusted, with access limited to the apps and resources they should have.
- **The real blocker is organizational inertia, not a shortage of security technology**: Jay Chaudhry says the concern is not a shortage of innovative security technology but inertia. Hackers have none; larger organizations have more. Bolting security onto legacy network architecture creates a false sense of security, while the discomfort of change keeps enterprises from re-architecting. Chaudhry calls on CEOs, CIOs and CISOs to reduce inertia and embrace AI security at pace.
- **AI adoption is outpacing AI security, and assessment data shows the gaps**: The posts say CEOs, CIOs and boards are moving quickly to use AI for productivity and cost savings, but many are deploying faster than they can secure it. Jay Chaudhry reports findings from hundreds of AI security readiness assessments: more than 90% of assessed organizations had AI assets exposed to the internet, about one-third of those exposed assets were vulnerable to exploitation, MCP servers were found deployed and exposed, and many organizations lacked full visibility into their AI assets. The posts describe these as active security gaps that stall innovation, not theoretical risks. The recommended response is complete visibility and Zero Trust controls.
- **Frontier AI development may be paced, but AI security innovation cannot be**: Jay Chaudhry notes that leaders such as Dario Amodei and Sam Altman have discussed pacing frontier AI development. Their counterargument is that AI security innovation cannot be paced because agents are already breaching traditional network security. The post points to the Hugging Face incident, where agents broke out of a training environment, reached a corporate network and moved laterally. It also says Zscaler is collaborating with Anthropic and OpenAI on cybersecurity.

## Work to read

- [Securing AI by Applying Zero Trust to Eliminate Attack Surfaces](https://www.linkedin.com/posts/jaychaudhry_dario-amodei-darioamodei-on-x-activity-7505413741967093760-F3Z8)
- [Building for the Secure Agentic Future: Managing AI at the CIO Summit](https://www.linkedin.com/posts/jaychaudhry_zerotrusteverywhere-zerotrust-agenticai-activity-7511958972526919680-wcKy)
- [AI Security Gaps: Visibility and the Need for Zero Trust Controls](https://www.linkedin.com/posts/jaychaudhry_ai-aisecurity-cybersecurity-activity-7503461174756384768-Ggel)
- [The AI Agent Security Crisis: Zero Trust as the Only Solution](https://www.linkedin.com/posts/jaychaudhry_cybersecurity-zerotrusteverywhere-ai-activity-7513246374558126080-i5Dp)
- [Scaling AI securely: Moving from Experimentation to Production](https://www.linkedin.com/posts/jaychaudhry_zerotrusteverywhere-ai-actfaststaysecure-activity-7501655568458129409-5t10)

## Brand relationships

- **Zscaler** (employment)
- **Anthropic** (disclosed_partnership)
- **OpenAI** (disclosed_partnership)
- **Dow** (client)
- **Viatris** (client)
- **Gartner** (mention)
- **Yahoo Finance** (mention)
- **CNBC** (mention)
- **Bloomberg** (mention)

## Partnerships

The five posts show Jay Chaudhry discussing Zero Trust and AI security, including Zscaler product positioning and media interviews. For a paid engagement, ask for a current partnership page, rate card or verified contact channel; the posts don’t disclose partnership formats, participation requirements, pricing, approval process or an official inquiry route.

## Alternatives

- Deepen Desai: Choose Deepen Desai when a campaign needs a hands-on security-operations voice rather than an executive-stage one. The posts walk through a specific platform launch, Agentic Security Operations, in operational detail: unified exposure and threat management, inline telemetry across network, identity, endpoint, cloud, AI and deception, closed-loop remediation, and the argument that fragmented SOC tooling breaks down under automated attacks. A separate post reports defender-side testing of frontier models, where multi-step reasoning let AI construct complex exploit paths rather than only scan for known CVEs, and where architectural context improved exploit accuracy. For a CISO audience interested in how detection and response change when attackers automate, this is closer to the work than Jay Chaudhry's board-level framing. It suits a technical webinar, a threat-research briefing or a practitioner interview about SOC modernization.
- Sam Curry: Choose Sam Curry when a campaign is about leadership and governance rather than network architecture. The posts address how organizations maintain accountability when decisions are made by a network of agents, how to preserve predictability with non-deterministic technology, and what changes when non-human team members join the workflow. A separate conversation covers the broader impact of agentic AI on society and cybersecurity, including how to use information without knowing the information. That makes Curry a fit for a board, risk-committee or future-of-work audience, or a panel where the sponsor wants to be associated with governance thinking rather than a specific control architecture.
- Val Tsanev: Choose Val Tsanev when the campaign is about go-to-market and buying behavior rather than security architecture. Tsanev hosts a cybersecurity GTM podcast built on more than 4,000 facilitated one-to-one meetings between founders and CISOs. The posts analyze why CISOs drop products that still work, why prioritization beats detection in vulnerability management, why standalone SOAR is being absorbed by platforms, and why a founder's real competitor is often “good enough.” One episode centers on a founder selling AI agent security and the finding that a champion, not the founder, closes the enterprise deal. That makes Tsanev a strong fit for campaigns targeting security founders or CISO-sales teams, or for sponsors who want to discuss how enterprises actually renew and consolidate security spend.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/