AI Trust, Risk, and Security Management Market Size to Witness Robust Growth in Data Privacy Concerns
Increasing AI adoption, data privacy regulations, cybersecurity threats, and ethical concerns are driving the AI Trust, Risk, and Security Management market.
PORTLAND, OREGON, UNITED STATES, July 4, 2023/EINPresswire.com/ — The AI Trust, Risk and Security Management Market size was valued at $1.7 billion in 2022 and is expected to reach $7.4 billion by 2032, rising at a CAGR of 16.2% from 2023 to 2032.
Machine learning (ML) approaches should be rigorously investigated and modified, according to Al TRiSM (trust, risk, and security management), so that people can use Al systems in a secure and respectable manner. TRiSM’s artificial intelligence (AI) mission is to bridge the accountability gap between technological innovation and creativity by addressing issues such as notification rights and potential violations, as well as cyberbullying.
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A prominent trend in the AI Trust, Risk, and Security Management market is the increasing emphasis on ethical AI implementation. As AI technologies become more pervasive, organizations are recognizing the importance of ensuring ethical practices throughout the AI lifecycle. This includes addressing bias, transparency, fairness, and accountability, and implementing robust governance frameworks. The trend towards ethical AI implementation is driving the adoption of AI trust, risk, and security management solutions.
The growing concern over data privacy is a significant trend in the market. With the proliferation of AI applications that rely on vast amounts of data, ensuring data privacy and protection becomes paramount. Organizations are seeking AI trust, risk, and security management solutions that enable them to safeguard sensitive data, comply with privacy regulations, and maintain consumer trust. This trend is fueled by evolving data protection laws and an increased awareness of data privacy risks.
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The ever-increasing cybersecurity threats are driving the demand for AI trust, risk, and security management solutions. As AI technologies are utilized across various domains, they become potential targets for cyberattacks. Organizations are adopting AI security management solutions to protect AI systems from malicious activities, including data breaches, adversarial attacks, and AI model tampering. The trend highlights the need for robust security measures to safeguard AI infrastructure and algorithms.
The market is witnessing advancements in AI auditing and explainability tools and techniques. Auditing AI systems to assess their trustworthiness and identify potential risks is gaining importance. Explainable AI methods are being developed to provide insights into AI decision-making processes, enhancing transparency and accountability. These trends aim to enhance trust in AI systems, address concerns regarding bias and discrimination, and facilitate regulatory compliance.
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The key players profiled in the AI trust, risk and security management industry analysis are International Business Machines Corporation, SAP SE, SAS Institute Inc., Oracle Corporation, Rapid7, At&t Intellectual Property, LogicManager, Inc., ServiceNow, Moody’s Analytics, Inc., and RSA security LLC. These players have adopted various strategies to increase their market penetration and strengthen their position of AI trust, risk and security management industry.
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Allied Analytics LLP
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