AI Trust, Risk, and Security Management (AI TRiSM) Market
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
OVERVIEW
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
The AI Trust, Risk, and Security Management (AI TRiSM) market is projected to reach USD 11.61 billion by 2031 from USD 3.09 billion in 2026, at a CAGR of 30.3% during the forecast period. Market growth is being spurred by the shift from periodic AI assessments toward continuous control as enterprises deploy autonomous, tool-using AI agents. These systems can be accessed, called and acted upon with minimal human engagement and make up an extended AI attack surface, bringing in new visibility and interventions needed in real time. The need to monitor agent behavior, control access to tools, trace the path of execution, and prevent inappropriate actions is driving the growth of AI TRiSM platforms.
KEY TAKEAWAYS
-
BY REGIONNorth America accounted for the largest share of the AI TRiSM market in 2026, at 41.5%.
-
BY OFFERINGBy offering, the solutions segment is expected to dominate the market in 2026.
-
BY SOLUTIONBy solution, the AI security & runtime protection platforms segment is set to grow the fastest at a CAGR of 33.1%.
-
BY SERVICEBy service, the consulting, strategy & governance design services segment is expected to have the largest market size.
-
BY DEPLOYMENT MODEBy deployment mode, the cloud segment is expected to grow rapidly, with the highest CAGR of 31.7%.
-
BY ORGANIZATION SIZEBy organization size, the large enterprises segment is projected to dominate the AI TRiSM market during the forecast period.
-
BY APPLICATIONBy application, the monitoring & response segment is expected to grow at the highest rate with a CAGR of 34.0%.
-
BY VERTICALBy vertical, the BFSI segment is set to dominate the AI TRiSM market.
-
COMPETITIVE LANDSCAPE - KEY PLAYERSThe key players in the AI TRiSM market include IBM, Microsoft, Accenture, and Deloitte, which provide enterprise-scale AI TRiSM capabilities spanning AI governance, risk management, assurance, compliance, security, and implementation services to help organizations operationalize trustworthy AI.
-
COMPETITIVE LANDSCAPE - STARTUPS/SMEsEntities seeking to safeguard and manage increasingly autonomous AI environments are increasingly turning to emerging AI TRiSM companies such as NeuralTrust, Cyera, Credo AI and BigID for AI governance, agent security, data protection, risk assessment, compliance and runtime controls.
AI TRiSM platforms help organizations govern, evaluate, secure, and continuously monitor AI systems across their lifecycle. These platforms improve AI trustworthiness, strengthen risk and compliance management, enhance transparency and explainability, and detect AI-specific security threats. They enable organizations to maintain greater control over increasingly complex generative and agentic AI environments.
TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS
The AI TRiSM market is shifting from policy-based AI governance to ongoing operational controls that let organizations control, assess, secure, and monitor AI systems throughout the lifecycle. Growing adoption across the BFSI, healthcare & life sciences, and government & defense sectors is accelerating market growth as organizations deploy AI in high-impact, sensitive environments that require stronger transparency, risk management, data protection, and accountability. Meanwhile, progress in agentic AI, runtime protection, AI assurance, and automated governance is bringing enterprises closer to scalable AI TRiSM platforms for trustworthy and responsible AI deployment.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
MARKET DYNAMICS
Level
-
Rapid enterprise adoption of generative AI and autonomous AI agents
-
Increasing global AI regulations and governance mandates
Level
-
High implementation complexity and fragmented AI ecosystems
-
Shortage of skilled AI governance and security professionals
Level
-
Expansion of agentic AI and autonomous enterprise workflows
-
Growing adoption of sovereign AI and national AI governance initiatives
Level
-
Keeping pace with rapidly evolving AI threats and attack techniques
-
Balancing AI innovation with governance, security, and user experience
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
Driver: Rapid enterprise adoption of generative AI and autonomous AI agents
As generative AI and autonomous agents are used in enterprise processes at an increasing rate, the need for real-time monitoring, risk analysis, lifecycle management, and security controls is growing. As autonomous AI systems become more independent and gain access to enterprise data and applications, organizations are turning to AI TRiSM capabilities to stay visible, accountable, and in control of AI behavior.
Restraint: High implementation complexity and fragmented AI ecosystems
The growing complexity of AI environments can slow AI TRiSM adoption. Organizations often use different AI models, applications, agents, data sources, and security tools that are not fully connected. Bringing these systems together and applying consistent governance, evaluation, and security controls can require significant technical expertise, time, and investment.
Opportunity: Expansion of agentic AI and autonomous enterprise workflows
As enterprises evolve from AI-assisted tasks to independent workflows, agentic AI vendors like AI TRiSM have strong prospects for growth. Independent access to data, interaction with applications and execution of actions require specific identity and authorization, monitoring and evaluation and runtime control, which demand dedicated governance and security capabilities for agents.
Challenge: Keeping pace with rapidly evolving AI threats and attack techniques
The constantly changing nature of AI-specific threats such as prompt injection, data poisoning, model manipulation, and agent misuse challenges organizations trying to deliver effective AI security controls. The added risks of autonomous planning, tool use, and interaction with external systems posed by AI agents make constant testing and monitoring of security measures necessary, along with adapting to those risks.
AI TRUST, RISK, AND SECURITY MANAGEMENT (AI TRISM) MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES
| COMPANY | USE CASE DESCRIPTION | BENEFITS |
|---|---|---|
 |
Banco do Brasil deployed IBM watsonx.governance to centralize AI oversight, enabling real-time monitoring, proactive alerts, transparent compliance, and stronger governance across its expanding AI environment. | Unified AI oversight, improved monitoring and alerting, greater compliance transparency, stronger trust, and increased agility in AI deployment. |
 |
Mastercard partnered with Credo AI to govern hundreds of generative AI use cases through centralized AI registries, automated risk assessments, stakeholder reviews, and third-party vendor assessments. | Reduced governance effort, improved visibility into AI adoption, accelerated reviews, strengthened collaboration, and enabled enterprise-wide control over AI risks. |
|
|
Infosys deployed IBM watsonx.governance to govern more than 2,700 AI use cases, streamlining risk assessments, compliance processes, lifecycle oversight, and centralized governance across functions and geographies. | Achieved a 150% improvement in operational efficiency, accelerated AI project delivery, and maintained consistent governance across enterprise AI deployments. |
|
|
The US Open used IBM watsonx.governance to identify and mitigate bias in tournament data, applying post-processing techniques to improve fairness without compromising overall accuracy. | Increased court fairness from 71% to 82%, representing an 11% improvement while maintaining overall model accuracy. |
 |
The US Army deployed BigID to discover and classify sensitive data, identify vulnerable information, automate retention, and establish stronger governance and risk controls across its complex cloud and enterprise data environment. | Improved sensitive-data visibility, reduced data risk, accelerated secure cloud migration, minimized redundant data, and strengthened automated data retention. |
Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.
MARKET ECOSYSTEM
The AI TRiSM ecosystem includes solution and service providers that support organizations in managing AI systems throughout their entire life cycle, from governance and evaluation to securing and monitoring. Solution providers offer platforms for AI governance and assurance, observability, and runtime protection; service providers offer consulting, implementation, testing and validation, and assurance and managed services for AI TRiSM. Together, these participants enable enterprises to strengthen AI oversight, mitigate emerging risks, and support secure, compliant, and trustworthy AI adoption.
Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.
MARKET SEGMENTS
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
AI TRiSM Market, by Offering
The solutions segment is projected to dominate the AI TRiSM market, as businesses increasingly seek scalable solutions to control, assess, monitor and protect AI systems. AI TRiSM platforms deliver end-to-end controls throughout the AI lifecycle, helping organizations manage governance, compliance, security, and operational risks increasingly driven by the deployment of generative and agentic AI.
AI TRiSM Market, by Solution
The AI governance, risk & compliance platforms segment is expected to lead the AI TRiSM market, driven by enterprises' need to establish centralized AI inventories, risk classifications, policies, approvals, audit trails, and regulatory controls. As AI deployments scale into business functions, enterprises are looking for governance mechanisms that span AI's lifecycle and leave no room for gaps in visibility, accountability, or traceability.
AI TRiSM Market, by Service
The consulting, strategy & governance design segment is expected to lead the AI TRiSM services market, as organizations require specialized expertise to establish AI governance frameworks, define accountability structures, assess AI maturity, and translate regulatory requirements into operational controls. Consulting providers help enterprises develop governance strategies aligned with business objectives, risk appetite, and evolving AI regulations.
AI TRiSM Market, by Deployment Mode
The market is projected to be driven by the cloud segment, as cloud-based AI models, Generative AI applications, and agentic workflows are increasingly being deployed. Cloud-based TRiSM platforms allow enterprises to extend governance and security policies across dispersed AI environments, while facilitating integration, centralized monitoring, continuous updates, and immediate access to AI risk-management tools.
AI TRiSM Market, by Organization Size
The large enterprises segment is expected to dominate the AI TRiSM market, driven by its high level of AI deployments, complex technology landscape, and susceptibility to regulatory, operational, security, and reputational risks. Large organizations are also more likely to have highly scalable governance frameworks, risk groups, ongoing assurance monitoring, and specialized AI security controls in place.
AI TRiSM Market, by Application
The security & runtime control segment will lead the way for AI TRiSM, as enterprises increasingly seek real-time protection for AI models, applications and agents. As systems are deployed in production, runtime controls can be used to detect abnormal behavior, to secure sensitive data, to manage access, to identify attacks, to enforce policies, and to automatically block or remediate risky AI interactions.
AI TRiSM Market, by Vertical
Extensive use of AI in contexts such as fraud detection, credit assessment, underwriting, customer engagement, and risk management will drive BFSI to become the leading segment in the AI TRiSM market. Financial institutions are being called to be more transparent about how their models work, more secure, more compliant, more monitored, more governed by AI, and more accountable across highly sensitive financial data and impactful AI-driven decisions.
REGION
Asia Pacific to be the fastest-growing region in the global AI TRiSM market during the forecast period
Asia Pacific will be the fastest-growing region in the AI TRiSM market as enterprise AI adoption accelerates, generative and agentic AI deployments grow, digital transformation drives the region, and trustworthy AI becomes an increasing priority across its major markets of China, India, Japan, and Singapore. AI governance and data protection frameworks are being tightened, and ASEAN's Responsible AI Roadmap 2025-2030 and Singapore's 2026 framework for agentic AI are fostering practical governance and risk controls. The expansion of AI infrastructure investment and increasing demand for transparency, security, compliance, and continuous monitoring are likely to drive the AI TRiSM adoption in the region.
AI TRUST, RISK, AND SECURITY MANAGEMENT (AI TRISM) MARKET: COMPANY EVALUATION MATRIX
IBM (Star) holds a strong position in the AI TRiSM market through watsonx.governance, providing enterprise AI governance, risk and compliance, assurance, continuous monitoring, and enforceable controls across models, applications, and agents. Cisco (Emerging Leader) is strengthening its position through Cisco AI Defense, focused on AI security, model validation, and runtime protection.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
KEY MARKET PLAYERS
- 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)
MARKET SCOPE
| REPORT METRIC | DETAILS |
|---|---|
| Market Size in 2025 (Value) | USD 2.23 Billion |
| Market Forecast in 2026 (Value) | USD 3.09 Billion |
| Market Forecast in 2031 (Value) | USD 11.61 Billion |
| Growth Rate | CAGR of 30.3% from 2026-2031 |
| Years Considered | 2022-2031 |
| Base Year | 2025 |
| Forecast Period | 2026-2031 |
| Units Considered | Value (USD Billion) |
| Report Coverage | Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
| Segments Covered |
|
| Regions Covered | North America, Europe, Asia Pacific, Middle East & Africa, Latin America |
WHAT IS IN IT FOR YOU: AI TRUST, RISK, AND SECURITY MANAGEMENT (AI TRISM) MARKET REPORT CONTENT GUIDE
DELIVERED CUSTOMIZATIONS
We have successfully delivered the following deep-dive customizations:
| CLIENT REQUEST | CUSTOMIZATION DELIVERED | VALUE ADDS |
|---|---|---|
| Leading Solution Provider (US) | Product Analysis: Comprehensive comparison of leading AI TRiSM vendors’ solutions, including AI governance, risk & compliance platforms, AI assurance, evaluation & observability platforms, AI security and runtime protection, data governance, agent controls, and managed AI TRiSM capabilities across enterprise, cloud, hybrid, generative AI, and agentic AI environments. | Stronger understanding of vendor positioning, AI governance maturity, assurance capabilities, runtime protection, security controls, deployment flexibility, regulatory alignment, platform integration, and innovation strategies—supporting informed technology selection, AI risk investment planning, and long-term trustworthy AI adoption initiatives. |
| Leading Service Provider (EU) | Company Information: Detailed profiling and evaluation of additional AI TRiSM vendors (up to 5), covering AI TRiSM product portfolios, AI governance and risk capabilities, assurance and observability solutions, AI security and runtime controls, professional and managed services, regional presence, strategic partnerships, industry focus, and competitive positioning across the global AI TRiSM market. | Comprehensive perspective of the evolving AI TRiSM ecosystem, highlighting the growing adoption of continuous AI governance, AI assurance, runtime enforcement, AI agent controls, data protection, regulatory compliance, and vendor differentiation through integrated platforms, specialized services, and continuous innovation in trustworthy and secure AI. |
RECENT DEVELOPMENTS
- July 2026 : Microsoft collaborated with UC Berkeley Risk and Security Lab through its External Red Team Alliance, supporting research into AI safety, security, alignment, and responsible AI development for increasingly capable AI systems.
- June 2026 : Accenture partnered with ServiceNow to launch AI-powered risk management services using agentic AI for integrated risk, third-party risk, OT risk, compliance, and migration from legacy risk platforms.
- April 2026 : Palo Alto Networks acquired Portkey to establish an AI Gateway control plane within Prisma AIRS, enabling enterprises to monitor, orchestrate, govern, and secure autonomous agent interactions while controlling AI traffic, identity, and runtime risks.
- March 2026 : Cisco collaborated with NVIDIA to expand Secure AI Factory capabilities by integrating AI Defense with NVIDIA OpenShell and NeMo Guardrails, providing controls, validation, and runtime protection for multi-agent and edge AI environments.
- October 2025 : IBM partnered with Anthropic to integrate Claude into IBM software, embedding security, governance, and cost controls throughout enterprise software development to support organizations seeking controlled, trustworthy adoption of generative AI.
Table of Contents
Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.
Methodology
Secondary research was conducted to collect information useful for this technical, market-oriented, and commercial study of the AI TRiSM market. The next step involved validating these findings, assumptions, and sizing with industry experts across the value chain using primary research. Different approaches, including top-down and bottom-up methods, were employed to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the AI TRiSM market.
Secondary Research
During the secondary research process, various secondary sources were consulted to identify and collect information relevant to the study. These sources included annual reports, press releases, investor presentations from AI TRiSM vendors, forums, certified publications, and whitepapers. The secondary research was mainly used to obtain key information about the industry’s supply chain, the total pool of key players, market classification and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from both market- and technology-oriented perspectives, all of which were further validated by primary sources.
Primary Research
In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. Primary sources from the supply side included industry experts, including chief executive officers (CEOs), vice presidents (VPs), marketing directors, technology and innovation directors, and other key executives from companies and organizations operating in the AI TRiSM market.
In the market engineering process, top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed throughout the market engineering process to identify key information/insights for the report.
After the complete market engineering process (including calculations for market statistics, market breakups, market size estimations, market forecasts, and data triangulation), extensive primary research was conducted to gather information and verify & validate the critical numbers arrived at. The primary research was also conducted to identify the segmentation types, industry trends, competitive landscape of AI TRiSM market players, and key market dynamics, such as drivers, restraints, opportunities, challenges, industry trends, and key strategies.
The following is the breakdown of the primary study:
Note: Tier 1 companies receive revenues higher than USD 10 billion; Tier 2 companies' revenues range between USD 1 and 10 billion; and Tier 3 companies' revenues range between USD 500 million and USD 1 billion. Other designations include sales, marketing, and product managers.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Top-down and bottom-up approaches were employed to estimate and validate the size of the AI TRiSM market, as well as the size of various dependent sub-segments within the overall AI TRiSM market. The research methodology used to estimate the market size includes the following details: critical players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This procedure involved reviewing the annual and financial reports of the top market players and conducting extensive interviews with key industry leaders, including CEOs, VPs, directors, and marketing executives, to gather valuable insights.
All percentage splits and breakdowns were determined using secondary sources and verified through primary sources. All parameters that affect the market covered in this research study were accounted for, examined in detail, verified through primary research, and analyzed to produce the final quantitative and qualitative data. This data was consolidated and added to detailed inputs and analysis from MarketsandMarkets.
AI Trust, Risk, and Security Management (AI TRiSM) Market : Top-Down and Bottom-Up Approach
Data Triangulation
The market was split into several segments and subsegments after arriving at the overall market size using the market size estimation processes explained above. Wherever applicable, data triangulation and market breakup procedures were used to complete the overall market engineering process and arrive at the exact statistics for each market segment and subsegment. The data was triangulated by studying various factors and trends from both the demand and supply sides.
Market Definition
The AI Trust, Risk and Security Management (AI TRiSM) market comprises commercially monetized software solutions and directly attributable services used to discover, govern, assess, evaluate, test, secure, monitor, and control artificial intelligence systems across their lifecycle — spanning predictive ML models, foundation-model and generative AI applications, LLM/RAG systems, copilots, and autonomous or semi-autonomous AI agents (first-party and third-party) — to manage AI-specific trust, risk, safety, security, privacy, and regulatory compliance obligations.
Key Stakeholders
- Chief Information Officers (CIOs), Chief Technology Officers (CTOs) & Chief AI Officers (CAIOs)
- Chief Information Security Officers (CISOs) & Cybersecurity Leaders
- AI Governance, Risk & Compliance (GRC) Professionals
- AI/ML Engineers, Data Scientists & Model Development Teams
- Machine Learning Operations (MLOps) & ModelOps Teams
- AI Security & Application Security Teams
- Data Protection Officers (DPOs), Privacy & Data Governance Professionals
- Legal, Regulatory & Compliance Professionals
- Large Enterprises & Small and Medium-sized Enterprises (SMEs)
- AI TRiSM & AI Governance Platform Vendors
- AI Security, Runtime Protection & AI Red-Teaming Providers
- Foundation Model, Generative AI & AI Application Providers
- Cloud Service & AI Infrastructure Providers
- System Integrators, AI Consultants & Managed AI Services Providers
- Government Agencies, Regulators, Standards Organizations & Industry Bodies
- Investors, Venture Capital Firms & Private Equity Firms
Report Objectives
- To define, describe, and forecast the AI TRiSM market based on offering, deployment mode, organization size, application, vertical, and region
- To provide detailed information on major factors, such as drivers, opportunities, restraints, and challenges, influencing market growth
- To forecast the size of the market segments across five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
- To analyze subsegments of the market with respect to individual growth trends, prospects, and contributions to the overall market
- To profile the key players of the market and comprehensively analyze their market shares and core competencies
- To map the competitive intelligence based on company profiles, key player strategies, and game-changing developments, such as product enhancements/launches, collaborations, and acquisitions
- To track and analyze the competitive developments, such as product enhancements/launches, acquisitions, partnerships, and collaborations, in the AI TRiSM market globally
Available customizations:
With the given market data, MarketsandMarkets offers customizations based on company-specific needs. The following customization options are available for the report:
Geographic Analysis
- Further breakdown of the Asia Pacific market into countries contributing to the remaining regional market size.
- Further breakdown of the North American market into countries contributing to the remaining regional market size.
- Further breakdown of the Latin American market into countries contributing to the remaining regional market size.
- Further breakdown of the Middle East & African market into countries contributing to the remaining regional market size.
- Further breakdown of the European market into countries contributing to the remaining regional market size.
Company Information
-
Detailed analysis and profiling of additional market players (up to 5)
Personalize This Research
- Triangulate with your Own Data
- Get Data as per your Format and Definition
- Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
- Any level of Personalization
Let Us Help You
- What are the Known and Unknown Adjacencies Impacting the AI Trust, Risk, and Security Management (AI TRiSM) Market
- What will your New Revenue Sources be?
- Who will be your Top Customer; what will make them switch?
- Defend your Market Share or Win Competitors
- Get a Scorecard for Target Partners
Custom Market Research Services
We Will Customise The Research For You, In Case The Report Listed Above Does Not Meet With Your Requirements
Get 10% Free CustomisationTESTIMONIALS
Growth opportunities and latent adjacency in AI Trust, Risk, and Security Management (AI TRiSM) Market