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Ethical, Yet Exposed: Why Responsible AI Does Not Guarantee Security

Published by Optiv

Responsible AI prioritizes fairness, transparency, and ethical decision-making, but it does not inherently provide security against cyber threats. Organizations must implement AI security measures to prevent data poisoning, adversarial manipulation, compliance violations, and intellectual property risks. AI security ensures confidentiality, integrity, and resilience by integrating threat monitoring, secure development practices, and governance frameworks into AI lifecycles. While responsible AI reduces bias and misinformation, security threats like model inversion, data leakage, and shadow AI require additional safeguards. Optiv provides AI security strategies to protect AI investments, enhance risk management, and align AI with cybersecurity best practices.

 

 

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Related Categories Deep Learning, Cognitive Computing, NLP, AI Ethics, Machine Learning Models, AI in Business, AI-powered Analytics, AI in Healthcare, Metaverse, Sustainable Technology, AI Governance, AI Regulations, AI Applications

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