Topic

Security Frameworks

Security frameworks are structured methodologies and standards that establish guidelines for protecting systems, data, and applications from unauthorized access and cyber threats. In AI governance, security frameworks are critical because they define how organizations should implement controls to safeguard sensitive data used in model training, prevent adversarial attacks on AI systems, and ensure compliance with regulatory requirements around data protection. Enterprise AI systems increasingly handle confidential business and personal information, making robust security frameworks essential for mitigating risks of breach, data exfiltration, and model manipulation.

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