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Artificial Intelligence (AI) has rapidly transformed industries, from healthcare and finance to manufacturing and transportation. While AI offers immense opportunities for efficiency, innovation, and decision-making, it also introduces unique risks and security challenges that organizations must address to maintain trust. Managing these risks effectively is critical not only for operational resilience but also for safeguarding user confidence and regulatory compliance.

Source:https://www.marketresearchfuture.com/reports/ai-trust-risk-security-management-market-22390

AI systems rely heavily on data, algorithms, and automated decision-making processes. This dependence creates vulnerabilities such as biased algorithms, data breaches, and adversarial attacks. For instance, biased training data can result in discriminatory outcomes, undermining fairness and accountability. Similarly, malicious actors can exploit AI models using adversarial techniques to manipulate predictions or decisions, posing serious security and reputational threats. Organizations must recognize these risks and implement comprehensive frameworks for AI trust, risk, and security management.

Risk management in AI begins with understanding potential vulnerabilities. Conducting regular audits of AI…