{"id":610984,"date":"2026-08-31T10:13:42","date_gmt":"2026-08-31T10:13:42","guid":{"rendered":""},"modified":"2026-08-31T10:13:42","modified_gmt":"2026-08-31T10:13:42","slug":"ai-trust-risk-and-security-management-market-set-for-303-cagr-through-2031-driven-by-agentic-ai-adoption-report-by-marketsandmarkets","status":"publish","type":"post","link":"https:\/\/www.pennsylvania-magazine.com\/news\/story\/610984\/ai-trust-risk-and-security-management-market-set-for-303-cagr-through-2031-driven-by-agentic-ai-adoption-report-by-marketsandmarkets.html","title":{"rendered":"AI Trust, Risk, and Security Management Market Set for 30.3% CAGR Through 2031, Driven by Agentic AI Adoption | Report by MarketsandMarkets\u2122"},"content":{"rendered":"
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IBM (US), Microsoft (US), Accenture (Ireland), Palo Alto Networks (US), Deloitte (UK), NeuralTrust (Spain), Cisco (US), ServiceNow (US), PwC (UK), EY (UK), Veeam Software (US), Cyera (US), Airia (US), OneTrust (US), BigID (US), Zenity (US\/Israel), Credo AI (US), Arize AI (US), Fiddler AI (US), ModelOp (US), HiddenLayer (US), AIShield (India).<\/div>\n<\/div>\n<\/div>\n
AI Trust, Risk, and Security Management (AI TRiSM) Market by Solution (AI Governance, Risk & Compliance, AI Security & Runtime Protection), Service (Managed AI TRiSM Services), Deployment Mode, Application, Vertical – Global Forecast to 2031.<\/div>\n

DELRAY BEACH, Fla. – August 31, 2026 – According to MarketsandMarkets™, the AI Trust, Risk, and Security Management market<\/a> size was valued at USD 2.23 billion in 2025 and is projected to grow from USD 3.09 billion in 2026 to USD 11.61 billion by 2031, exhibiting a CAGR of 30.3% during the forecast period. The need for AI TRiSM solutions is being driven by generative AI risk management. The need for AI TRiSM capabilities centered on model risk, dependability, security, and governance is being driven by the growth of generative AI deployments. In order to assist enterprises in identifying and managing risks unique to generative AI, NIST published the Generative Artificial Intelligence Profile in July 2024. Additionally, NIST published guidelines in 2026 that were influenced by a public working group with over 2,500 members. These guidelines emphasized the necessity of organized AI risk-management procedures in the areas of AI development, deployment, monitoring, governance, and incident management.<\/p>\n

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Based on application, the security & runtime control segment is expected to hold the largest market share.<\/strong><\/p>\n

The security & runtime control segment is expected to account for the largest share of the AI TRiSM market, driven by the growing need to protect AI models, applications, and agents against security threats and unintended behavior during operation. Enterprises are increasingly deploying generative and agentic AI systems that interact with sensitive data, users, and enterprise tools, creating risks such as prompt injection, data leakage, unauthorized access, model manipulation, and unsafe agent actions. Runtime controls enable organizations to continuously inspect AI inputs, outputs, interactions, and agent activities while enforcing security and governance policies. The increasing focus on post-deployment AI monitoring and continuous risk management is further supporting adoption, as organizations seek real-time visibility, automated intervention, and policy enforcement to maintain secure, reliable, and compliant AI operations.<\/p>\n

By organization size, the SMEs segment is expected to register the highest CAGR during the forecast period.<\/strong><\/p>\n

The SMEs segment is expected to register the highest CAGR in the AI TRiSM market during the forecast period, driven by the rapid adoption of AI applications and the growing need to manage AI-related security, privacy, reliability, and compliance risks with limited internal resources. SMEs increasingly require cost-effective solutions to assess AI models, monitor AI applications, detect security vulnerabilities, and establish governance policies without building dedicated AI risk teams. NIST has specifically developed guidance for small and under-resourced organizations, including its AI RMF and small-enterprise risk-management guidance, supporting structured approaches to managing technology and AI risks. As smaller organizations increasingly deploy generative AI and AI-powered business applications, demand for scalable and easy-to-integrate AI TRiSM solutions is expected to accelerate.<\/p>\n

By region, North America is estimated to account for the largest market share.<\/strong><\/p>\n

North America is expected to account for the largest share of the AI TRiSM market during the forecast period, driven by the region’s strong AI ecosystem, presence of leading technology and cybersecurity vendors, and increasing enterprise focus on AI governance, security, privacy, and risk management. The US is witnessing accelerated adoption of AI TRiSM capabilities across BFSI, healthcare, government, technology, and critical infrastructure, supported by initiatives such as the NIST AI Risk Management Framework and the 2026 development of an AI RMF Profile for Trustworthy AI in Critical Infrastructure. Leading vendors, including Microsoft, IBM, Palo Alto Networks, and Google, are expanding AI governance, model security, runtime monitoring, AI red teaming, and AI-agent protection capabilities. Microsoft provides AI governance guidance aligned with NIST AI RMF, while Palo Alto Networks is expanding AI TRiSM capabilities across AI governance and runtime enforcement. In Canada, government initiatives supporting safe and responsible AI, including the Safe and Secure Artificial Intelligence Advisory Group, Canadian AI Safety Institute, and Voluntary Code of Conduct for Advanced Generative AI Systems, are further strengthening regional demand for AI risk-management solutions. These developments, coupled with sustained investments in generative AI, agentic AI, cloud technologies, and cybersecurity, are positioning North America as a leading hub for AI TRiSM innovation, commercialization, and enterprise adoption.<\/p>\n

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Unique Features in the AI Trust, Risk, and Security Management Market<\/strong><\/p>\n

AI TRiSM solutions provide governance and oversight across AI systems—from model development and evaluation to deployment, monitoring, and retirement. This helps organizations maintain visibility, accountability, and control throughout the AI lifecycle.<\/p>\n

Unlike periodic AI assessments, modern AI TRiSM platforms increasingly support continuous monitoring of AI behavior, model performance, risks, and compliance after deployment. This is particularly important as enterprise AI environments continuously change.<\/p>\n

Runtime protection is emerging as a distinctive feature, enabling organizations to inspect AI inputs and outputs, monitor model and agent interactions, detect threats, enforce policies, and intervene when risky activity occurs. The AI security and runtime protection segment is projected to be the fastest-growing solution segment.<\/p>\n

The growing deployment of autonomous AI agents creates new requirements for controlling agent identities, tool access, authorization, execution paths, and actions. AI TRiSM solutions are increasingly designed to address risks such as prompt injection, data leakage, unauthorized access, and unsafe agent behavior.<\/p>\n

Major Highlights of the AI Trust, Risk, and Security Management Market<\/strong><\/p>\n

The increasing deployment of autonomous and tool-using AI agents is expanding the AI attack surface. Enterprises increasingly need capabilities to monitor agent behavior, control tool access, trace execution paths, and prevent unauthorized actions.<\/p>\n

AI security and runtime protection platforms are expected to register the highest CAGR of 33.1% during 2026–2031. Organizations are shifting from pre-deployment assessments toward controls that operate continuously while AI systems are running.<\/p>\n

The monitoring and response application segment is projected to grow at the highest CAGR of 34.0%. Enterprises increasingly require real-time visibility into AI behavior and rapid intervention when systems deviate from defined policies or risk thresholds.<\/p>\n

The cloud deployment segment is expected to grow at a 31.7% CAGR, supported by the need to govern distributed AI applications, models, and agents across scalable enterprise environments.<\/p>\n

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Top Companies in the AI Trust, Risk, and Security Management Market<\/strong><\/p>\n

The AI TRiSM market is led by some of the globally established players, such as IBM (US), Microsoft (US), Accenture (Ireland), Palo Alto Networks (US), Deloitte (UK), NeuralTrust (Spain), Cisco (US), ServiceNow (US), PwC (UK), EY (UK), Veeam Software (US), Cyera (US), Airia (US), OneTrust (US), BigID (US), Zenity (US\/Israel), Credo AI (US), Arize AI (US), Fiddler AI (US), ModelOp (US), HiddenLayer (US), AIShield (India), Daxa (US), Concentric AI (US), and Grip Security (US). These market players have adopted strategies such as product launches, partnerships, contracts, expansions, and acquisitions to strengthen their position in the AI TRiSM market. The organic and inorganic strategies have enabled market players to expand globally by providing advanced AI TRiSM solutions.<\/p>\n

IBM is a global technology and cybersecurity provider that brings together AI governance, security, risk management, and data protection to help enterprises deploy trustworthy AI at scale. In the AI TRiSM market, IBM focuses on providing integrated oversight and protection across traditional machine learning, generative AI, and increasingly agentic AI systems. Its portfolio combines IBM watsonx.governance and IBM Guardium AI Security, enabling organizations to govern AI assets, monitor model performance and risk, manage compliance, discover shadow AI, identify vulnerabilities and misconfigurations, and protect AI applications against threats such as malicious prompts and data leakage. IBM further extends its capabilities through integrated governance and security workflows, providing a unified view of AI-related business, compliance, and security risks. By connecting AI lifecycle governance with real-time security controls, IBM helps enterprises establish greater visibility, accountability, and control as they scale AI and autonomous agents across complex hybrid and multi-vendor environments.<\/p>\n

Microsoft is a global technology and cybersecurity provider that brings together responsible AI, data governance, identity security, threat protection, and compliance capabilities to support the secure and trustworthy adoption of enterprise AI. In the AI TRiSM market, Microsoft focuses on helping organizations govern, secure, and monitor AI applications, Copilots, and autonomous agents across their lifecycle. Its integrated portfolio combines Microsoft Purview, Microsoft Defender, Microsoft Entra, Azure AI services, and Microsoft Security Copilot, providing capabilities for AI risk visibility, data protection, access governance, threat detection, compliance, and security operations. Microsoft further supports trustworthy AI through its Responsible AI Standard and governance framework, while Data Security Posture Management for AI helps organizations discover and assess AI usage, including third-party and shadow AI. By integrating security, governance, identity, and data controls across its cloud ecosystem, Microsoft enables enterprises to scale AI and agentic applications while maintaining visibility, accountability, and control over evolving AI risks.<\/p>\n

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IBM (US), Microsoft (US), Accenture (Ireland), Palo Alto Networks (US), Deloitte (UK), NeuralTrust (Spain), Cisco (US), ServiceNow (US), PwC (UK), EY (UK), Veeam Software (US), Cyera (US), Airia (US), OneTrust<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/www.pennsylvania-magazine.com\/news\/wp-json\/wp\/v2\/posts\/610984"}],"collection":[{"href":"https:\/\/www.pennsylvania-magazine.com\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.pennsylvania-magazine.com\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.pennsylvania-magazine.com\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.pennsylvania-magazine.com\/news\/wp-json\/wp\/v2\/comments?post=610984"}],"version-history":[{"count":0,"href":"https:\/\/www.pennsylvania-magazine.com\/news\/wp-json\/wp\/v2\/posts\/610984\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.pennsylvania-magazine.com\/news\/wp-json\/wp\/v2\/media?parent=610984"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.pennsylvania-magazine.com\/news\/wp-json\/wp\/v2\/categories?post=610984"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.pennsylvania-magazine.com\/news\/wp-json\/wp\/v2\/tags?post=610984"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}