Shadow AI Risk & Governance Market

The shadow AI risk & governance market is projected to grow from USD 1.39 billion in 2026 to USD 8.64 billion by 2032, at a CAGR of 35.6% during the forecast period. A key growth driver is the increasing integration of third-party AI models, copilots, plugins, APIs, and AI-enabled applications into enterprise workflows. These integrations introduce additional data flows, external dependencies, and access points that require organizations to establish controls for data handling, permissions, application usage, and AI-related risk. As enterprises connect more AI capabilities across their technology environments, demand is increasing for governance platforms that can assess and control these interconnected AI ecosystems.

Competitive Overview

The shadow AI risk & governance market comprises established technology and cybersecurity providers such as Microsoft (US), Palo Alto Networks (US), IBM (US), Zscaler (US), Netskope (US), Cisco (US), ServiceNow (US), OneTrust (US), Forcepoint (US), Proofpoint (US), Credo AI (US), Holistic AI (UK), NeuralTrust (Spain), ModelOp (US), Relyance AI (US), Airia (US), Zenity (US), HiddenLayer (US), Check Point (Israel), and Noma Security (Israel). Market participants are expanding their capabilities through product launches, partnerships, acquisitions, platform integrations, and investments in AI governance, security, data protection, and agent controls.

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In June 2026, Airia partnered with NavAlytix AI to combine AI strategy and readiness assessment capabilities with Airia’s runtime governance, shadow AI discovery, orchestration, and guardrails, supporting secure and governed enterprise AI deployment.

In March 2026, Zenity partnered with ServiceNow to integrate Zenity’s AI agent security, posture management, vulnerability assessment, and governance capabilities into ServiceNow Security Operations. The partnership provides organizations with greater visibility into AI agents, including their activities, system access, data usage, and associated risks, while enabling governance and security workflows through existing SecOps processes.

Zenity provides an AI agent security and governance platform designed to help enterprises discover, assess, secure, and govern AI agents across SaaS, cloud, and endpoint environments. Its capabilities span AI observability, security posture management, exposure management, vulnerability assessment, runtime detection, and policy enforcement. The platform provides visibility into agent configurations, permissions, data access, dependencies, and activities, helping organizations identify and remediate AI-related security and governance risks. Zenity also integrates with existing security operations workflows to support continuous monitoring and remediation of AI agent risks.

ServiceNow provides enterprise-wide AI governance through its AI Control Tower, which enables organizations to discover, secure, govern, observe, and measure AI assets across their environments. The platform maintains a centralized inventory of AI systems, models, agents, prompts, datasets, and tools while connecting them with business services and enterprise workflows. Its capabilities include AI risk and compliance management, security and privacy controls, lifecycle management, identity and access governance, and continuous monitoring. ServiceNow also supports discovery of shadow AI and AI assets deployed across cloud platforms and third-party environments.

Market Ranking

The global shadow AI risk & governance market is highly competitive, with technology, cybersecurity, and specialized AI governance providers addressing enterprise requirements across AI discovery, governance, data protection, risk management, access controls, and agent security. Competition is expanding as vendors integrate AI governance with existing security, identity, data, and enterprise workflow platforms.

Microsoft, IBM, Palo Alto Networks, ServiceNow, Cisco, Zscaler, and Netskope are expanding their positions through integrated AI security and governance ecosystems. Microsoft combines AI governance with identity, data, and security controls, while IBM is extending watsonx.governance toward continuous AI assurance and discovery of unmanaged AI assets. Palo Alto Networks is integrating Prisma AIRS with ServiceNow to provide AI model risk intelligence within enterprise governance workflows.

Specialized providers such as Airia, Credo AI, NeuralTrust, ModelOp, Zenity, Holistic AI, Relyance AI, and Noma Security focus on AI inventory, risk assessment, governance, security posture, agent controls, and compliance. Their offerings increasingly address AI systems beyond traditional models, including autonomous agents, tools, model context protocol servers, and connected enterprise resources.

Partnerships are also becoming an important competitive strategy. ServiceNow and Microsoft expanded their collaboration around AI Control Tower and Agent 365 to extend visibility and governance across AI agents, while Zenity and Microsoft expanded their partnership to provide inline runtime security for agents built on Microsoft Foundry. These integrations indicate a shift toward embedding AI governance directly into the platforms where AI applications and agents are developed and deployed.

Market competition is increasingly shifting toward integrated, continuous AI control rather than standalone governance tools. Key differentiation factors include AI asset discovery, centralized inventories, policy enforcement, data protection, agent identity and access management, runtime controls, risk assessment, compliance automation, and integration with existing enterprise security and workflow environments.

Related Reports:

Shadow AI Risk & Governance Market by Solution (Shadow AI Discovery & Visibility, AI Governance & Policy Management, AI Data Protection & Security Controls, AI Access & Agent Governance), Service (Professional, Managed) - Global Forecast to 2032

Contact:
Mr. Rohan Salgarkar
MarketsandMarkets™ INC.
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Suite 103, Delray Beach, FL 33445
USA : 1-888-600-6441
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