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Zscaler Expands AI-Guardian, Uniting Tech Giants to Secure Enterprise AI at Scale

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Zscaler (NASDAQ: ZS) announced an expanded phase of Project AI-Guardian, uniting its Zero Trust Exchange with leading AI, cloud, and infrastructure partners to secure enterprise AI at scale.

New integrations provide AI access mapping, attack-surface modeling, governance, and real-time zero trust enforcement across enterprise AI workflows.

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News Market Reaction – ZS

-3.63%
-3.63% News Effect

On the day this news was published, ZS declined 3.63%, reflecting a moderate negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

What This Means

This announcement expands Project AI-Guardian by integrating Zscaler’s Zero Trust Exchange with lead...
Analysis

This announcement expands Project AI-Guardian by integrating Zscaler’s Zero Trust Exchange with leading AI, cloud, and infrastructure partners to secure enterprise AI at scale. It builds on a pattern of AI-focused launches, reports, and leadership additions that previously saw positive share reactions averaging 2.05%. Investors may watch how deeply these new integrations are adopted, how they complement recent earnings growth, and how they position Zscaler in the evolving AI security landscape.

Previous AI Reports

5 past events · Latest: Jan 27 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Jan 27 AI suite launch Positive +2.4% Launched Zscaler AI Security Suite to secure and govern enterprise AI usage.
Jan 27 AI threat report Positive +2.4% Published ThreatLabz 2026 AI Threat Report highlighting rapid growth in AI activity.
Jan 12 AI leadership hire Positive +0.1% Appointed EVP of Agentic AI Security Engineering to expand Zero Trust for AI workflows.
Jun 03 AI features launch Positive +0.6% Unveiled AI security capabilities to improve data protection and attack prevention.
Apr 24 AI phishing report Positive +4.8% Released report on AI-driven phishing attacks targeting critical business functions.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-focused announcements have historically been received positively, with all recent AI-tagged events showing positive 24-hour price reactions.

Recent Company History

Over the past year, Zscaler has built a consistent narrative around securing enterprise AI. AI-tagged updates included the Zscaler AI Security Suite, AI threat and phishing reports, and the appointment of an EVP for agentic AI security engineering. These events produced positive 24-hour moves around an average of 2.05%. Today’s expansion of Project AI-Guardian extends that trajectory by deepening ecosystem integrations around AI security and zero trust.

Historical Comparison

+2.0% avg move · Past AI-tagged news for ZS produced an average 2.05% 24-hour move, and this update continues the the...
AI
+2.0%
Average Historical Move AI

Past AI-tagged news for ZS produced an average 2.05% 24-hour move, and this update continues the theme of expanding AI security capabilities and ecosystem breadth.

Zscaler’s AI news flow has progressed from launching core AI security suites and publishing AI threat intelligence to appointing dedicated AI security leadership and now expanding Project AI-Guardian via broader technology alliances.

Regulatory & Risk Context

Short Interest: 13.66%
Short Interest
13.66% of float
0% 15% 30%+
moderate as of 2026-05-29 Days to cover: 1.23

Key Terms

zero trust exchange, zero trust, ai attack surface, governance, +4 more
8 terms
zero trust exchange technical
"deepening interoperability across the Zscaler Zero Trust Exchange™ platform"
A zero trust exchange is a network security approach and gateway that treats every user, device and data request as untrusted until verified, continuously checking identity and permissions before allowing access. Think of it as a security checkpoint that inspects each person and parcel every time they try to enter, rather than giving blanket access once inside. Investors care because it lowers the chance of costly breaches, regulatory fines and operational downtime, which can protect revenue and value.
zero trust technical
"zero trust policy is applied to AI usage the same way Zscaler applies zero trust"
Zero trust is a security approach that assumes no one, whether inside or outside an organization, should be automatically trusted. Instead, every access request is carefully verified before being granted, much like checking ID at every door rather than trusting someone just because they are known. For investors, it emphasizes the importance of protecting digital assets and data from potential breaches, reducing overall risk.
ai attack surface technical
"leaving blind spots across the rapidly expanding AI attack surface"
The AI attack surface is the full set of ways an artificial intelligence system can be compromised, manipulated, or misused — including inputs, interfaces, data pipelines, models, and deployment environments. Like the doors and windows of a house, more entry points mean more chances for harm; for investors, a large or unmanaged AI attack surface raises risks of service disruption, data breaches, regulatory fines, and reputational damage that can hurt revenues and valuation.
governance regulatory
"additional governance and protection capabilities"
Governance refers to the systems and processes that determine how an organization is directed and controlled. It involves making decisions, establishing rules, and overseeing activities to ensure the organization operates fairly, transparently, and in the best interests of its stakeholders. Good governance helps build trust and stability, which are important for investors because they indicate responsible management and reduce risks.
ai access graph technical
"The integration includes the AI Access Graph, which continuously maps how identities"
An ai access graph is a map showing which people, systems, or automated agents can reach specific data, models, or functions inside an artificial intelligence system and what actions they can perform. For investors, it matters because this map reveals how well a company controls sensitive data, prevents misuse, and meets regulatory or security requirements—similar to a building’s access chart that shows who has which keys and which rooms are locked.
agentic workflows technical
"As enterprises adopt generative AI, agentic workflows, and AI-enabled SaaS"
Agentic workflows are sequences of tasks where software 'agents' act on their own to move information, make routine decisions, and trigger actions across computer systems with minimal human hand-holding. For investors, they matter because they can cut labor and processing time much like replacing a row of manual cashiers with self‑serving kiosks, improving margins and speed but also introducing new operational, security and regulatory risks that can affect costs, reliability and compliance.
zero trust controls technical
"Zero Trust Controls for AI Workflows: Enforcing granular policy controls"
Zero trust controls are a cybersecurity approach that treats every user, device and connection as potentially untrusted and requires continuous verification before granting access, rather than relying on a single perimeter like a firewall. Investors should care because these controls reduce the likelihood and impact of data breaches, regulatory penalties and downtime—risks that can lead to direct financial losses, higher insurance or compliance costs, and damage to a company’s reputation and valuation.
data leakage technical
"Helping prevent the leakage of sensitive intellectual property or customer data"
Data leakage is the accidental or unauthorized release of confidential, non-public information—such as financial results, trade secrets, or patient records—outside the organization that owns it. For investors it matters because leaked information can move a stock price before official disclosure, create legal and regulatory risk, and damage trust in management, much like an exam answer sheet shared early changes how others act on the information.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Expanded ecosystem collaboration unites Zscaler’s Zero Trust Exchange with leading AI, cloud, and infrastructure technologies enabling interoperability and security signal sharing across AI enterprise interactions

LAS VEGAS, June 09, 2026 (GLOBE NEWSWIRE) -- Zenith Live 2026- Zscaler, Inc. (NASDAQ: ZS), the cybersecurity platform for the AI era, today announced the next phase of its Project AI-Guardian by expanding the initiative to include technology alliance partners. The expansion broadens the ecosystem collaboration first built with the world’s leading global system integrators (GSIs), deepening interoperability across the Zscaler Zero Trust Exchange™ platform and the Company's AI Protect portfolio with complementary partner technologies.
 
As enterprises adopt generative AI, agentic workflows, and AI-enabled SaaS, no single vendor secures the entire AI estate on its own. Security teams are left stitching together point products that don't share context, leaving blind spots across the rapidly expanding AI attack surface. What organizations need is not another silo, but a comprehensive AI security platform that interoperates with leading and existing technologies to share signals, identity context, and enforcement work.

The expansion of Project AI-Guardian is built around that principle. Through the Zero Trust Exchange, core Zscaler AI services will integrate directly with technology alliance partners. The integration includes the AI Access Graph, which continuously maps how identities, applications, agents, and data connect to AI services; AI attack surface and risk modeling, which discovers and quantifies AI-related exposure across the environment; and additional governance and protection capabilities. Partners both enrich and act on these signals, so insight gathered in one platform can drive enforcement in another.

Because every interaction is brokered through the Zero Trust Exchange, enforcement happens inline and in real time. Access is verified continuously, data is inspected as it moves, and zero trust policy is applied to AI usage the same way Zscaler applies zero trust to users, workloads, and devices today. For customers, interoperability means a consistent control plane for AI without the integration burden of connecting disparate tools. For partners, it means a platform-native path to extend their capabilities across the enterprise AI estate.

Technology alliance partners include: AWS, CoreWeave, Databricks, Deep Cogito, Equinix, Glean, Google Cloud, OpenAI, Saviynt, along with additional GSI Partners Coforge and NTT DATA. These partners join the founding GSI partners (Cognizant, EY, HCLTech, Infosys, TCS, and Wipro) to deliver a comprehensive, end-to-end framework for securing AI.

“AI is creating enormous opportunities for organizations, but it is also reshaping the threat across the security and governance landscape,” said Dhawal Sharma, EVP- AI Security and Strategic Initiatives, Zscaler. “Securing AI is an ecosystem effort. With the expansion of Project AI-Guardian through our technology alliance partners, Zscaler is helping customers extend zero trust across enterprise  AI interactions so they can adopt AI faster while maintaining the visibility, control, and data protection they need to innovate securely.”

Through this expanded initiative, Zscaler and its technology alliance partners will deliver deep integrations across the entire AI pipeline, addressing critical security needs:

  • Zero Trust Controls for AI Workflows: Enforcing granular policy controls for AI applications, development infrastructures, and workflows designed to prevent unauthorized access and usage.
  • Comprehensive Data Protection: Helping prevent the leakage of sensitive intellectual property or customer data through prompts, model training inputs, or autonomous AI-to-AI interactions, both inline and out-of-band.
  • Continuous Visibility and Governance: Delivering a 360-degree view of the organization's AI footprint—including shadow AI apps, model APIs, and cloud-hosted infrastructure—to help ensure alignment with compliance and risk management frameworks.
  • Streamlined Deployment and Time-to-Value: Providing pre-validated, interoperable partner integrations that simplify deployment and allow security teams to safely accelerate business transformation.

This next phase of Project AI-Guardian reflects Zscaler’s vision for secure AI transformation: an open, security-first framework that helps enterprises unlock the value of AI with confidence.

Coforge
“As enterprises accelerate their AI transformation journey and deploy agentic systems at scale, the urgency to secure AI assets from edge to cloud has never been greater. Through Project AI-Guardian, Coforge is uniting Zscaler's AI Asset Management and Zero Trust Everywhere with our Secure Edge2Cloud Solution and Trust AI platform. The combination embeds automated governance, privacy guardrails, and continuous assurance directly into the AI lifecycle — enabling enterprises to discover, secure, and scale their AI deployments without compromising on trust or business velocity,” Ashish Kumar, SVP & Global Head - Cloud, AI-Infra & Security, Coforge.

CoreWeave
“As enterprises move AI into production, the attack surface expands at the infrastructure level, beyond just the application layer, said Jim Higgins, Chief Information Security Officer, CoreWeave. “CoreWeave's security is built from the silicon up, and working with Zscaler through Project AI-Guardian means customers will be able to enforce zero trust access controls at every layer of their AI stack, from compute to agent interaction.”

Databricks
“Customers consistently tell us they want to route their security data to their Databricks environment and extend their existing security vendor protections to our platform. Our partnership with Zscaler delivers on both fronts. By ingesting Zscaler logs into Databricks and collaborating on Project AI-Guardian, we are helping joint customers safely accelerate their AI initiatives without creating new security silos,” Stephen Orban, SVP Product Partnerships & Ecosystem.

Deep Cogito
“Defending against frontier-grade threats requires specialized intelligence models, post-trained on a security team's data and outcomes. Zscaler understood this from the start - going beyond lightweight customization to build specialized intelligence into the model itself,” said Drishan Arora, Co-founder and CEO Deep Cogito. “Through Project AI Guardian, we're extending that work to help enterprises adopt AI with the security posture this moment demands.”

Equinix
“Equinix is committed to enabling secure, scalable AI innovation across the enterprise,” said Maryam Zand, Vice President of Partnerships and Ecosystem Strategy at Equinix. “Our longstanding partnership with Zscaler makes that vision even more powerful, by combining global digital infrastructure with zero trust security to help customers protect their AI interactions. Together, we’re giving our joint customers the security controls and infrastructure they need to deploy AI workloads with confidence, at scale.”

Glean
“Scaling enterprise AI safely requires both trusted business context and a security ecosystem that can govern how that context is accessed and used,” said Sunil Agrawal, CISO, Glean. “Glean helps organizations bring secure, permissions-aware enterprise knowledge directly into AI workflows, and Zscaler’s Project AI-Guardian provides an important framework for extending visibility, control, and protection across those interactions. Together, we’re helping customers move AI from experimentation to impact while giving security teams greater confidence as adoption scales.”

NTT DATA
“As organizations enter the AI execution era, driving a new wave of autonomous enterprise transformation, security must evolve just as rapidly. By collaborating with Zscaler on Project AI Guardian, NTT DATA is combining Zscaler's Zero Trust Everywhere framework with our full-stack Security for AI capabilities to help enterprises prepare for frontier AI risks and accelerate their agentic AI-driven transformation with confidence, resilience and speed,” Sheetal Mehta, Global Head of Cybersecurity at NTT DATA, Inc.

OpenAI
“As AI becomes an increasingly important tool for cybersecurity, organizations need systems that are not only capable, but secure, reliable, and aligned with the realities of enterprise risk management. Through our partnership with Zscaler and initiatives like Trusted Access for Cyber and Project AI-Guardian, we're advancing a shared commitment to deploying AI responsibly—combining frontier capabilities with rigorous safeguards, transparency, and human oversight. Together, we're helping security teams strengthen their defenses while building confidence in the safe adoption of AI across the enterprise,” Scott Rosecrans, Vice President, Strategic Pursuits, OpenAI.

Saviynt
“AI security is an identity problem first. Zscaler stops threats in motion; Saviynt governs the identities behind them. Together, we give enterprises the control plane they need to adopt AI without losing visibility or governance,” Vibhuti Sinha, Chief Product Officer, Saviynt.

For more information on the latest Zenith Live announcements please visit: http://www.zscaler.com/events/zenithlive2026

About Zscaler
Zscaler (NASDAQ: ZS) is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across 160+ data centers globally, the Zscaler Zero Trust Exchange™ platform combined with advanced AI combats billions of cyber threats and policy violations every day and unlocks productivity gains for modern enterprises by reducing costs and complexity.

Forward-Looking Statements
This press release contains forward-looking statements that are based on our management's beliefs and assumptions and on information currently available to our management. These forward-looking statements include the expected performance and benefits of Project AI-Guardian and Zscaler's Technology Alliance Partners, including delivering zero trust controls across enterprise AI workflows. These forward-looking statements are subject to the safe harbor provisions created by the Private Securities Litigation Reform Act of 1995. A significant number of factors could cause actual results to differ materially from statements made in this press release, including those factors related to Zscaler’s ability to achieve partner and customer adoption of Project AI-Guardian and initiatives with Zscaler’s Technology Alliance Partners. Additional risks and uncertainties are set forth in our most recent Quarterly Report on Form 10-Q filed with the Securities and Exchange Commission (“SEC”) on May 26, 2026, which is available on our website at ir.zscaler.com and on the SEC's website at www.sec.gov. Any forward-looking statements in this release are based on the limited information currently available to Zscaler as of the date hereof, which is subject to change, and Zscaler will not necessarily update the information, even if new information becomes available in the future.

Media Contact
Nick Gonzalez, Director of Global Public Relations, press@zscaler.com


FAQ

What did Zscaler (ZS) announce about Project AI-Guardian on June 9, 2026?

Zscaler announced the expansion of Project AI-Guardian to include technology alliance partners, strengthening enterprise AI security. According to Zscaler, the initiative now integrates Zero Trust Exchange services with partner platforms to secure AI access, data, and workflows across the full enterprise AI estate.

Which major technology partners joined Zscaler's expanded Project AI-Guardian ecosystem?

Zscaler’s expanded Project AI-Guardian includes partners such as AWS, Google Cloud, OpenAI, Databricks, Equinix, CoreWeave, Saviynt, Glean, Deep Cogito and others. According to Zscaler, these partners enrich and act on shared AI security signals to enable interoperable, end-to-end protection.

How does Zscaler's Project AI-Guardian improve enterprise AI security for ZS customers?

Project AI-Guardian aims to provide a unified AI security platform that replaces fragmented point products. According to Zscaler, it delivers AI access mapping, attack surface and risk modeling, and governance so partners can enforce zero trust controls and protect data across enterprise AI interactions in real time.

What AI security capabilities are integrated into Zscaler's Zero Trust Exchange under Project AI-Guardian?

The Zero Trust Exchange integrates AI Access Graph, AI attack surface and risk modeling, and added governance features. According to Zscaler, every AI interaction is brokered inline, enabling continuous identity verification, data inspection, and zero trust policy enforcement for AI applications, agents, and services.

How does Zscaler's AI-Guardian expansion benefit enterprises adopting generative and agentic AI?

The expansion is intended to give enterprises a consistent AI security control plane without complex tool integrations. According to Zscaler, pre-validated partner integrations support zero trust controls, comprehensive data protection, continuous AI visibility, and streamlined deployment for generative, agentic, and AI-enabled SaaS workloads.

What role do global system integrators play in Zscaler's Project AI-Guardian?

Global system integrators like Cognizant, EY, HCLTech, Infosys, TCS, Wipro, Coforge, and NTT DATA help deliver end-to-end AI security frameworks. According to Zscaler, they combine their services with Zero Trust Exchange and AI-Guardian capabilities to secure AI from edge to cloud.