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In security, risk assessments identify and analyze external and internal threats to enterprise dataintegrity, confidentiality, and availability. After identifying the risks, it’s time to perform the risk analysis and develop action plans. Implement controls and risk responseplans to prevent and mitigate risk.
Beyond redaction, AI can support pseudonymization, generalization, and data masking, converting sensitive data into formats that maintain utility while protecting privacy. Continuous improvements in LLMs allow these systems to adapt to emerging patterns and threats, ensuring dataintegrity and privacy.
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