Global AI trust, risk, and security management market is anticipated to grow at a CAGR of 20.3% during the forecast period (2024-2031). The global AI trust, risk, and security management market leverages AI technologies to address cybersecurity challenges and strengthen organizational resilience. It encompasses various applications, including threat detection and prevention, anomaly detection, vulnerability management, security analytics, user and entity behavior analytics, identity and access management, security orchestration, automation, and response, endpoint security, network security, and cloud security. AI-powered systems analyze vast amounts of data in real-time to identify and mitigate potential cyber threats, while also detecting anomalies in user behavior, network traffic, and system activity to help organizations respond to suspicious activities. Security orchestration, automation, and response platforms play a crucial role in streamlining security operations, protecting endpoints from malware, monitoring network traffic, and identifying potential threats.
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Furthermore, the market has seen significant growth primarily owing to increased focus on R&D by both public and private organizations and growing applications. For instance, in April 2024, Sysdig introduced AI Workload Security, a new feature in its cloud-native application protection platform. This tool helps security teams understand AI environments, identify suspicious activity and fix issues quickly. It allows companies to prioritize workloads using AI engines and software packages like OpenAI, Hugging Face, TensorFlow, and Anthropic. The integration of AI Workload Security with Sysdig's unified risk findings feature simplifies triage and response times.
In January 2023, the US Department of Commerce's National Institute of Standards and Technology (NIST) released its Artificial Intelligence Risk Management Framework (Framework), designed to assist organizations in designing, developing, deploying, or using AI systems. The framework is divided into two parts namely foundational information and core & profiles. It focuses on framing AI-related risks and outlines the characteristics of trustworthy AI systems, emphasizing collective responsibility and diverse perspectives. The framework's effectiveness will be evaluated by NIST and the AI community.
Market Coverage
• The market number available for – 2023-2031
• Base year- 2023
• Forecast period- 2024-2031
• Segment Covered-
o By Component
o By End User
• Regions Covered-
o North America
o Europe
o Asia-Pacific
o Rest of the World
• Competitive Landscape- Accenture PLC, AT&T Inc., Darktrace Holdings Ltd., IBM Corp., and Oracle Corp., among others.
Key questions addressed by the report.
Global AI Trust, Risk, and Security Management Market Report Segment
By Component
• Solution
o Risk & compliance management
o Continuous monitoring & analytics
o Data privacy & security
o Others
• Services
o Professional service
o Managed service
By End-User
Global AI Trust, Risk, and Security Management Market Report Segment by Region
North America
• United States
• Canada
Europe
• UK
• Germany
• Italy
• Spain
• France
• Rest of Europe
Asia-Pacific
• China
• India
• Japan
• South Korea
• Rest of Asia-Pacific
Rest of the World
• Latin America
• Middle East & Africa
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