Latest news with #AITrust
Yahoo
21-05-2025
- Business
- Yahoo
AI Trust, Risk and Security Management Trends Analysis and Growth Forecasts, 2025-2030: Market to Reach $7.44 Billion - Generative AI Foundation Models Spur Demand for Advanced AI TRiSM Tools
AI Trust, Risk, and Security Management Market is set to grow from USD 2.34 Billion in 2024 to USD 7.44 Billion by 2030, at a CAGR of 21.60%. Rising AI adoption fuels demand for TRiSM solutions focused on bias, explain-ability, and security. Regulatory focus on trustworthy AI and collaborative tech developments drive market growth. Read more. AI Trust, Risk and Security Management Market Dublin, May 21, 2025 (GLOBE NEWSWIRE) -- The "AI Trust, Risk and Security Management Market Size, Share & Trends Analysis Report by Component (Solution, Services), Type (Explainability, ModelOps), Application, Deployment, Enterprise Size, End-use, Region, with Growth Forecasts, 2025-2030" has been added to offering. The AI Trust, Risk and Security Management Market, valued at USD 2.34 billion in 2024, is projected to reach USD 7.44 billion by 2030, expanding at a CAGR of 21.60%. As AI adoption accelerates across industries, the demand for AI trust, risk, and security management (TRiSM) solutions is also expected to grow, driven by concerns around bias, explain-ability, and security vulnerabilities. Regulatory bodies' focus on responsible AI systems further amplifies the necessity for these solutions. Recent industry updates underline this trend, such as Resistant AI securing USD 11 million in June 2023 to develop AI security solutions aimed at financial institutions, highlighting the rising need for robust AI-powered security in the financial services sector. Collaborations among AI TRiSM providers and tech firms foster enhanced growth opportunities by expanding the AI TRiSM ecosystem, integrating data security platforms, explainable AI tools, and monitoring systems. This unified approach addresses sector-specific AI challenges, enabling the customization of solutions to suit the unique requirements of industries like healthcare, finance, and manufacturing. The rise of generative AI foundation models poses unique challenges to data exchange and processing, necessitating sophisticated tools. This trend offers a promising avenue for AI TRiSM developers to align with policymakers and innovate solutions targeting data management, privacy assurance, and content filtering within these models. AI Trust, Risk and Security Management Market Report Highlights The solution segment dominated the AI TRiSM industry, capturing about 70% of global revenue in 2024, with significant growth anticipated for the services segment over the forecast period. The explainability segment held the largest revenue share in the AI TRiSM market in 2024, with the ModelOps segment expected to see notable growth. The governance & compliance segment led in revenue share in 2024, while the bias detection & mitigation segment is poised for substantial growth. The on-premises segment captured the largest market share in 2024, with the cloud segment projected to grow significantly. The large enterprise segment accounted for the biggest revenue share in 2024, but the Small & Medium Enterprise (SME) segment is predicted to grow markedly. The IT & telecom sector led the AI TRiSM market in 2024, with the healthcare sector expected to experience substantial growth. Why Should You Buy This Report? Comprehensive Market Analysis: Obtain detailed insights across major regions and segments. Competitive Landscape: Understand the market presence of key players. Future Trends: Identify pivotal trends and drivers shaping the market's future. Actionable Recommendations: Leverage insights to explore new revenue streams and guide strategic business decisions. This report addresses: Market intelligence to enable effective decision-making Market estimates and forecasts from 2018 to 2030 Growth opportunities and trend analyses Segment and regional revenue forecasts for market assessment Competition strategy and market share analysis Product innovation listings for strategic positioning Companies Featured AT&T Inc. International Business Machines Corporation LogicManager, Inc. Moody's Analytics, Inc. RSA Security LLC. SAP SE SAS Institute Inc. ServiceNow Inc. Hewlett-Packard Enterprise Development LP Rapid7 Key Attributes: Report Attribute Details No. of Pages 150 Forecast Period 2024 - 2030 Estimated Market Value (USD) in 2024 $2.34 Billion Forecasted Market Value (USD) by 2030 $7.44 Billion Compound Annual Growth Rate 21.6% Regions Covered Global For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Attachment AI Trust, Risk and Security Management Market CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
21-05-2025
- Business
- Yahoo
AI Trust, Risk and Security Management Trends Analysis and Growth Forecasts, 2025-2030: Market to Reach $7.44 Billion - Generative AI Foundation Models Spur Demand for Advanced AI TRiSM Tools
AI Trust, Risk, and Security Management Market is set to grow from USD 2.34 Billion in 2024 to USD 7.44 Billion by 2030, at a CAGR of 21.60%. Rising AI adoption fuels demand for TRiSM solutions focused on bias, explain-ability, and security. Regulatory focus on trustworthy AI and collaborative tech developments drive market growth. Read more. AI Trust, Risk and Security Management Market Dublin, May 21, 2025 (GLOBE NEWSWIRE) -- The "AI Trust, Risk and Security Management Market Size, Share & Trends Analysis Report by Component (Solution, Services), Type (Explainability, ModelOps), Application, Deployment, Enterprise Size, End-use, Region, with Growth Forecasts, 2025-2030" has been added to offering. The AI Trust, Risk and Security Management Market, valued at USD 2.34 billion in 2024, is projected to reach USD 7.44 billion by 2030, expanding at a CAGR of 21.60%. As AI adoption accelerates across industries, the demand for AI trust, risk, and security management (TRiSM) solutions is also expected to grow, driven by concerns around bias, explain-ability, and security vulnerabilities. Regulatory bodies' focus on responsible AI systems further amplifies the necessity for these solutions. Recent industry updates underline this trend, such as Resistant AI securing USD 11 million in June 2023 to develop AI security solutions aimed at financial institutions, highlighting the rising need for robust AI-powered security in the financial services sector. Collaborations among AI TRiSM providers and tech firms foster enhanced growth opportunities by expanding the AI TRiSM ecosystem, integrating data security platforms, explainable AI tools, and monitoring systems. This unified approach addresses sector-specific AI challenges, enabling the customization of solutions to suit the unique requirements of industries like healthcare, finance, and manufacturing. The rise of generative AI foundation models poses unique challenges to data exchange and processing, necessitating sophisticated tools. This trend offers a promising avenue for AI TRiSM developers to align with policymakers and innovate solutions targeting data management, privacy assurance, and content filtering within these models. AI Trust, Risk and Security Management Market Report Highlights The solution segment dominated the AI TRiSM industry, capturing about 70% of global revenue in 2024, with significant growth anticipated for the services segment over the forecast period. The explainability segment held the largest revenue share in the AI TRiSM market in 2024, with the ModelOps segment expected to see notable growth. The governance & compliance segment led in revenue share in 2024, while the bias detection & mitigation segment is poised for substantial growth. The on-premises segment captured the largest market share in 2024, with the cloud segment projected to grow significantly. The large enterprise segment accounted for the biggest revenue share in 2024, but the Small & Medium Enterprise (SME) segment is predicted to grow markedly. The IT & telecom sector led the AI TRiSM market in 2024, with the healthcare sector expected to experience substantial growth. Why Should You Buy This Report? Comprehensive Market Analysis: Obtain detailed insights across major regions and segments. Competitive Landscape: Understand the market presence of key players. Future Trends: Identify pivotal trends and drivers shaping the market's future. Actionable Recommendations: Leverage insights to explore new revenue streams and guide strategic business decisions. This report addresses: Market intelligence to enable effective decision-making Market estimates and forecasts from 2018 to 2030 Growth opportunities and trend analyses Segment and regional revenue forecasts for market assessment Competition strategy and market share analysis Product innovation listings for strategic positioning Companies Featured AT&T Inc. International Business Machines Corporation LogicManager, Inc. Moody's Analytics, Inc. RSA Security LLC. SAP SE SAS Institute Inc. ServiceNow Inc. Hewlett-Packard Enterprise Development LP Rapid7 Key Attributes: Report Attribute Details No. of Pages 150 Forecast Period 2024 - 2030 Estimated Market Value (USD) in 2024 $2.34 Billion Forecasted Market Value (USD) by 2030 $7.44 Billion Compound Annual Growth Rate 21.6% Regions Covered Global For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Attachment AI Trust, Risk and Security Management Market CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
07-05-2025
- Business
- Yahoo
Enveil Named in the Gartner® Market Guide for AI Trust, Risk and Security Management
Reference acknowledges the value of Privacy Enhancing Technologies in advancing AI TRiSM efforts WASHINGTON, May 7, 2025 /PRNewswire/ -- Enveil , the pioneering Privacy Enhancing Technology company protecting Data in Use, today announced it has been named in the 2025 Gartner "Market Guide for AI Trust, Risk and Security Management." The Guide identifies Enveil as a provider of Privacy Enhancing Technologies, specifically mentioning the company's use of homomorphic encryption. Enveil is a pioneering Privacy Enhancing Technology company protecting Data in Use (PRNewsfoto/Enveil) Included in the report's Information Governance section, the reference acknowledges the relevance of Privacy Enhancing Technologies in the context of AI Trust, Risk and Security Management (TRiSM): "Privacy-enhancing technologies (PET) are a collection of tools that help protect data in use, such as during model training, fine tuning, inference on obfuscated data, or federated model execution across entities that might not want to share data while information exchange remains a deliberate purpose. PETs can be applied in several layers of the AI TRiSM stack." Leveraging the power of Privacy Enhancing Technologies (PETs) , Enveil's capabilities strengthen enterprise AI/ML efforts by enabling encrypted federated learning and the secure usage of disparate, decentralized datasets for machine learning applications. As the Market Guide recognizes, demand for AI TRiSM solutions is increasing as AI projects are operationalized. "While AI capabilities are increasingly critical for many organizations, it is essential that data and analytic leaders prioritize security and privacy when implementing these workflows," said Ellison Anne Williams, Founder and CEO of Enveil. "We are proud our solutions serve to address this need by validating the impact Privacy Enhancing Technologies can have in advancing efforts in the broader AI TRiSM market, especially for enabling the secure use of cross-silo and cross-boundary data assets." Enveil's ZeroReveal® Machine Learning solutions for Encrypted Training and Encrypted Evaluation allow organizations to privately and securely leverage a broader, richer collection of data sources through the utilization of PETs. The company was selected to advance the security and operationalization of machine learning in a multi-domain environment in support of Project Linchpin, a U.S. Army initiative focused on delivering a trusted AI/ML operations pipeline. At its core, Enveil's award-winning ZeroReveal® software changes the paradigm of how and where organizations can leverage data to unlock value by ensuring that the content of the search, analytic, or machine learning model — and its corresponding results — are never exposed. The capabilities are deployed and operational at scale today, validating the mission and business-enabling value of PETs.
Associated Press
13-03-2025
- Business
- Associated Press
Daxa Recognized in the 2025 Gartner® Market Guide for AI Trust, Risk and Security Management
Daxa, a leader in AI data security and governance, has been included in the 2025 Gartner Market Guide for AI Trust, Risk & Security Management (AI TRiSM) for the AI Governance and Runtime Inspection and Enforcement use case. As enterprises rapidly adopt AI, securing AI applications from data exposure, compliance violations, and insider threats has become a pressing challenge. Traditional security models and bolt-on AI firewalls fail to protect AI at runtime, leaving sensitive business data vulnerable. Daxa's Pebblo AI data platform and Proxima AI retriever redefine AI security by embedding real-time data intelligence, access control, and continuous governance at AI runtime. Unlike reactive solutions, Pebblo ensures sensitive enterprise data is classified, tagged, and governed before it reaches an AI model—preventing unauthorized exposure at its source. 'AI models today ingest vast enterprise data, often bypassing traditional security controls. Daxa's AI runtime security approach ensures enterprises can confidently scale AI adoption—without the risk of data leaks or compliance failures,' said Huseni Saboowala, CEO and co-founder of Daxa. We believe, Daxa's inclusion in the Gartner Market Guide highlights the growing demand for proactive, built-in AI security solutions. As AI becomes mission-critical, security must be continuous, contextual, and integrated—not bolted on. According to the Gartner report, 'The AI trust, risk and security management market comprises four layers of technical capabilities that enforce AI governance policies. The top two layers, new to AI, are consolidating into a distinct market segment. AI leaders should use this guide to understand TRiSM and discover sample vendors.' Gartner, Market Guide for AI Trust, Risk and Security Management, 18 February 2025. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. About Daxa Daxa secures how AI interacts with enterprise data, embedding real-time intelligence, access control, and continuous governance from data ingestion to AI retrieval. With the Pebblo AI data platform and Proxima, the security-first AI knowledge retriever, we provide a security fabric for AI applications—ensuring enterprises can scale AI securely, maintain compliance, and protect sensitive data—by design, not as an afterthought. To learn more about how Daxa is securing enterprise AI, visit SOURCE: Daxa Copyright Business Wire 2025. PUB: 03/13/2025 01:16 PM/DISC: 03/13/2025 01:16 PM
