Analyst(s): Fernando Montenegro
Publication Date: May 27, 2026
Zscaler launched Project AI-Guardian with leading GSIs to help enterprises manage AI security, governance, and visibility across agentic environments. The initiative combines Zero Trust Everywhere with AI asset discovery and risk mitigation capabilities.
What is Covered in This Article:
- Zscaler launched Project AI-Guardian with leading GSI partners to help enterprises secure AI agents, autonomous workloads, and AI infrastructure.
- The initiative combines Zscaler’s Zero Trust Everywhere framework with consulting and implementation capabilities from GSIs, including Cognizant, EY, HCLTech, Infosys, TCS, and Wipro.
- Project AI-Guardian focuses on AI asset management, secure AI access, and protection for AI infrastructure and applications.
- The platform aims to help enterprises identify shadow AI, map AI lineage, and improve visibility into AI apps, models, agents, infrastructure, and associated risks.
- Zscaler also connected the initiative to its resiliency engagement program, designed to help enterprises respond to AI-driven vulnerability discovery and AI-orchestrated exploits.
The News: Zscaler announced Project AI-Guardian, an expanded collaboration with major global system integrator partners designed to help enterprises accelerate AI adoption while maintaining visibility, security, and regulatory compliance. The initiative combines Zscaler’s Zero Trust Everywhere framework with GSI consulting and implementation expertise to help organizations manage risks associated with AI agents, autonomous workloads, and AI-connected infrastructure.
Under the initiative, partners including Cognizant, EY, HCLTech, Infosys, TCS, and Wipro will use Zscaler’s AI Protect portfolio to deliver AI discovery, governance, and risk mitigation capabilities. The platform provides visibility into AI usage, infrastructure, applications, models, agents, and associated risks using telemetry from endpoints, SaaS applications, inline traffic, cloud services, and code repositories.
Can Zscaler and Its GSI Partners Govern the Agentic Enterprise?
Analyst Take: Project AI-Guardian reflects how AI security discussions are shifting from isolated model protection toward broader operational visibility, governance, and infrastructure oversight. It is worth noting upfront that this is primarily a go-to-market initiative rather than a product launch, which is itself an analytical signal. Securing AI in the enterprise is not just a software problem. Enterprises need technology platforms that can provide visibility and enforce policy, and they need services organizations capable of translating governance requirements into operational reality across complex, multi-stakeholder environments. The collaboration model Zscaler is announcing with its GSI partners reflects that reality directly.
AI Security Is Becoming a Visibility and Governance Problem
The announcement focused heavily on AI asset visibility, infrastructure mapping, and governance controls rather than solely on securing AI models. Zscaler repeatedly emphasized risks associated with persistent connectivity, delegated permissions, opaque decision-making, and indirect prompt-injection paths across agentic systems. AI lineage tracking and shadow AI discovery were positioned as central operational requirements rather than optional capabilities. That framing reflects a broader market shift: the security perimeter for AI is not a model or an endpoint but an entire ecosystem of identities, data flows, and infrastructure connections that most enterprises have not yet inventoried.
GSIs Are Taking a Larger Role in Enterprise AI Governance
The structure of Project AI-Guardian places global system integrators at the center of AI governance and operational execution. That makes sense for reasons that go beyond implementation capacity. AI governance projects are fundamentally cross-organizational efforts. They require buy-in from legal, compliance, finance, and business unit leadership, not just the CISO’s office. GSIs have the executive relationships and transformation track record to navigate those conversations in ways that security vendors typically cannot. In complex AI adoption programs, access to the C-suite and board level is often the critical path, and GSIs have earned that access over decades of large-scale transformation engagements.
There is a fair tension to acknowledge alongside that strength. GSIs excel at organizational transformation and large-scale deployment, but the technical depth required to govern AI lineage, runtime policy enforcement, and agent-to-agent authentication at enterprise scale is demanding and highly specialized. Building and sustaining that capability consistently across engagements, rather than concentrating it in a few named practitioners, is a real execution challenge for any large services organization.
AI Asset Management Is Emerging as a Core Enterprise Requirement
A major portion of the announcement centered on AI Asset Management and the need to inventory AI infrastructure, models, applications, and agents. Zscaler stated that enterprises often lack visibility into shadow AI usage, data relationships, and identity connections tied to AI systems operating across distributed environments. The platform aggregates intelligence from endpoints, SaaS applications, cloud services, inline traffic, and code repositories to provide a broader organizational view of AI activity. The practical implication for security teams is significant: governance without inventory is guesswork, and most enterprises are currently governing AI workloads they cannot fully see.
A Crowded Field With Deep Partner Ecosystems
Zscaler is not alone in recognizing that GSI relationships are essential to delivering AI security at enterprise scale. CrowdStrike launched its Charlotte AI AgentWorks Ecosystem at RSAC Conference 2026, with partners including Accenture and Deloitte, enabling security-focused partners to build and deploy custom AI agents on the Falcon platform. CrowdStrike’s total AWS Marketplace contract value across its broader partner ecosystem has passed $1 billion. Palo Alto Networks announced a dedicated GSI track within its NextWave program, with that path expected to become available later in 2026. Microsoft’s security partner ecosystem reaches deeply into the same global system integrators that Zscaler named as launch partners for Project AI-Guardian.
The question is not whether GSI partnerships matter for AI security delivery, and they clearly do across the board. What distinguishes Project AI-Guardian is its explicit focus on AI governance, lineage visibility, and asset management as the defined deliverables, rather than broader platform resale or managed detection services. Whether that specificity produces more consistent and accountable enterprise outcomes than the broader partnership frameworks others have built is the real test, and it will take time to see results in the field.
What to Watch:
- Can enterprises actually maintain a complete AI inventory? AI footprints span SaaS platforms, cloud environments, endpoints, and code repositories simultaneously. Keeping a current, accurate inventory at that scale is an untested operational challenge.
- Will AI visibility translate to enforceable policy? Discovering AI assets is the easier half of the problem. Connecting that visibility to identity, access, and enforcement controls across distributed environments is where most programs stall.
- Can GSIs operationalize AI governance at enterprise scale? Consistent delivery of AI discovery, lineage tracking, and risk mitigation across large, heterogeneous environments requires a maturity level GSI practices are still developing.
- Will shadow AI concerns drive AI asset management adoption? Decentralized AI adoption is accelerating faster than governance frameworks. Whether that creates urgency around asset management platforms or produces more sprawl remains to be seen.
- Can the resiliency program keep pace with machine-speed threats? AI-driven vulnerability discovery and AI-orchestrated exploits operate faster than human-led response cycles. Whether the engagement program’s structure can match that tempo is an open question.
See the complete press release on Project AI-Guardian and Zscaler’s expanded GSI partnerships on the Zscaler website.
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.
Other Insights From Futurum:
RSAC 2026: The AI ‘Tragedy of the Commons’ and the Future of Agentic Security
Securing Agentic AI Is the Multi-Level Challenge for Security Teams
Is 2026 the Turning Point for Industrial-Scale Agentic AI?
The Great CIO Platform Reset: Agentic AI Forcing 2026 Reckoning
Author Information
Fernando Montenegro serves as the Vice President & Practice Lead for Cybersecurity & Resilience at The Futurum Group. In this role, he leads the development and execution of the Cybersecurity research agenda, working closely with the team to drive the practice's growth. His research focuses on addressing critical topics in modern cybersecurity. These include the multifaceted role of AI in cybersecurity, strategies for managing an ever-expanding attack surface, and the evolution of cybersecurity architectures toward more platform-oriented solutions.
Before joining The Futurum Group, Fernando held senior industry analyst roles at Omdia, S&P Global, and 451 Research. His career also includes diverse roles in customer support, security, IT operations, professional services, and sales engineering. He has worked with pioneering Internet Service Providers, established security vendors, and startups across North and South America.
Fernando holds a Bachelor’s degree in Computer Science from Universidade Federal do Rio Grande do Sul in Brazil and various industry certifications. Although he is originally from Brazil, he has been based in Toronto, Canada, for many years.
