Global artificial intelligence trust, risk and security

VANCOUVER, Sept. 25, 2023 (Globe Newswire) — global Artificial Intelligence Trust, Risk, and Security Management (AI TRiSM) Market According to the latest analysis by Emergen Research, it is expected to have a size of USD 1.72 billion in 2022, registering a steady revenue CAGR of 16.2% during the forecast period. Increasing government efforts towards the adoption of AI technologies in various industries, especially in the BFSI sector, growing advances in machine learning (ML), natural language processing (NLP), and deep learning (DL) algorithms, ethical AI Strict government regulation on implementation is a key factor driving market revenue growth.

With the help of the AI ​​TRiSM framework, discover, monitor, and minimize the trends in generative and adaptive AI and other potential risks associated with the introduction of AI technologies in your enterprise. Using this strategy, organizations can ensure compliance with all relevant laws and data protection regulations. TRiSM uses features such as data encryption, secure data storage, and multi-factor authentication to ensure that AI models produce the intended results. IT leaders are now deploying new AI TRiSM capabilities to ensure model reliability, reliability, privacy, and security. Furthermore, AI rules are becoming increasingly important to implement systems that provide consumer safety, trust, and openness. With the introduction of AI TRISM and secure regulatory requirements, several businesses, including the programmatic advertising sector, will see tremendous growth, significantly improving the experience for both advertisers and consumers.

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However, concerns surrounding data security, complexity of such robots, and cost of maintenance and training data preparation are key factors that may restrain the market’s revenue growth. This can be a serious problem if people rely on these bots for information, as training data is susceptible to biased or counterfactual responses. Additionally, privacy concerns are another factor as user data is frequently stored for model training in generative AI, which could constrain the market’s revenue growth.

Research scope

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Major companies and competitive environment

The global AI TRISM market is highly fragmented, with many large and mid-sized players accounting for the majority of market revenue. Leading companies are deploying various strategies, entering into mergers and acquisitions, strategic agreements and contracts, and developing, testing, and deploying more effective AI TRiSM solutions. Some key companies included in the global AI TRiSM market report are:

• SAP SE
• IBM Co., Ltd.
• Oracle Corporation
• arthur
• vata
• RSA Security LLC.
• Accenture
• SAS Institute Inc.
• ServiceNow
• AT&T Intellectual Property

strategic development

• On April 25, 2023, Google announced the use of large-scale language models (LLM) to improve cybersecurity. Google announced Google Cloud Security AI Workbench, an extensible platform powered by the Sec-PaLM security LLM. This helps translate complex attack graphs into human-understandable descriptions of attack risk, along with affected assets and suggested mitigations. It also features a partner plugin interface that provides consumers with threat intelligence, workflows, and other important security features.

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Key highlights of the report

• The solutions segment accounted for the largest revenue share in the global AI TRiSM market in 2022. This is because risk monitoring, alerting, and action are made easy with AI TRiSM solutions that manage risk and ensure that AI technology performs its intended tasks. in a reliable, efficient, fair and secure manner. Security issues, data breaches, and other hazards can jeopardize the effectiveness and integrity of AI systems. These risks must be controlled to maintain the reliability and trustworthiness of AI systems. These systems use threat intelligence reporting for pattern recognition and threat visibility, and integrate key security technologies for seamless workflows and shared insights. Implementing an AI TRiSM solution protects the data utilized by AI models and applies different data protection techniques to different use cases and their constituent parts. For example, explainable AI (XAI) solutions provide traceability, allowing stakeholders to discover gaps in functionality and improve performance on black-box aspects of traditional AI systems.
• The retail and e-commerce segment is expected to register a steadily faster revenue growth rate in the global AI TRiSM market during the forecast period. This is due to the increasing use of AI by e-commerce companies in a variety of business processes, from fraud detection to customized product recommendations, supporting numerous e-commerce apps. AI could be used to stop e-commerce fraud. Additionally, AI algorithms can identify and flag problematic behavior by examining customer behavior and transaction trends, reducing the likelihood of fraudulent transactions and chargebacks. AI helps detect fraud by evaluating vast amounts of transaction data and identifying trends that suggest illegal activity. By using generative AI algorithms to detect and stop fraud, such as fake returns and sales, businesses can potentially save money while gaining customer trust. Through a set of algorithms, we can also identify illegal vendors and counterfeit products in the market, helping brands maintain their brand identity.
• In the global AI TRiSM market in 2022, the North American market accounted for the largest revenue share. This can be attributed to increased government initiatives and funding in the AI ​​TRiSM space, as well as consumer interest and rapid adoption of AI TRiSM applications, particularly in the United States. we. For example, on July 21, 2023, the U.S. government announced that it had obtained voluntary commitments from these companies to advance the development of AI technologies in a safe, secure, and transparent manner. Companies developing these cutting-edge technologies have a duty to ensure that their products are safe.

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Emergen Research is global AI TRISM market Based on component type, deployment mode, company size, end use, and region:

• Component Type Outlook (Revenue, USD Billion, 2019-2032)

• • solution
    1. AI governance and compliance
    2. AI bias detection and mitigation
    3. AI security and anomaly detection
    4. Explainable AI (XAI)
    5. Privacy management
  • software

• Deployment Mode Outlook (Revenue, USD Billion, 2019-2032)

• Company size outlook (Revenue, USD billion, 2019-2032)

• • Large companies
  • Small and medium-sized enterprises (SMEs)

• Application Outlook (Revenue, USD Billion, 2019-2032)
• Regional Outlook (Revenue, USD Billion, 2019-2032)
  • North America
    1. we
    2. Canada
    3. Mexico
  • Europe
    1. Germany
    2. France
    3. England
    4. Italy
    5. Spain
    6. Benelux three countries
    7. rest of europe
  • Asia Pacific
    1. China
    2. India
    3. Japan
    4. South Korea
    5. Rest of Asia Pacific
  • latin america
    1. Brazil
    2. Rest of Latin America
  • middle east and africa
    1. Saudi Arabia
    2. United Arab Emirates
    3. South Africa
    4. turkey
    5. rest of the middle east and africa

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