AI isn’t just a privacy risk; it can also be a powerful tool for safeguarding sensitive data. In my experience, AI-driven solutions like the ones I mention below are becoming increasingly important for proactive security:
- Data Loss Prevention (DLP): AI can analyze data in real-time to identify and prevent sensitive information from leaving the organization’s control.
- User and Entity Behavior Analytics (UEBA): AI can detect anomalous user behavior that may indicate a security breach or insider threat.
- Identity and Access Management (IAM): AI can improve the accuracy and efficiency of identity verification and access control.
- Threat Detection and Response: AI can analyze vast amounts of security data to identify and respond to cyber threats more quickly and effectively.
- Privacy-Enhancing Technologies (PETs):Techniques like differential privacy and federated learning allow data analysis while preserving individual privacy.
These AI-powered tools are not silver bullets, but they can enhance an organization’s ability to protect sensitive data.
Ready to learn more? Explore Cyber Resilience: Navigating the Future of Intelligent Security, an eMagazine written by Stefanini’s experts in cybersecurity, outlining the practical steps required for modern businesses to develop cyber resilience while incorporating AI.