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The AI trust, risk, and security management industry has witnessed significant technological advancements. As AI technology evolves, so do the potential security vulnerabilities it faces. Advancements in fields, such as adversarial Machine Learning (ML) and AI-specific hacks need the development of increasingly powerful security solutions. These improvements boost the AI trust, risk, and security management industry by fueling the development of new tools and strategies to address emerging threats.
Advancements in anomaly detection and real-time monitoring enable AI trust, risk, and security management solutions to continually evaluate the performance and security of AI systems. This enables the early detection of possible hazards before they occur, enhancing the overall AI security posture.
For instance, in October 2023, IBM launched AI-powered threat detection and response services, aimed at enhancing security measures and accelerating response times for organizations facing cyber threats. These services provide continuous monitoring, investigation, and automated remediation of security alerts across various technologies within clients' hybrid cloud environments.