Traditional identity governance relies on manual processes for access reviews and provisioning, creating bottlenecks and security gaps. AI-driven identity security uses machine learning to continuously monitor user behavior patterns, automatically recommend appropriate access levels, and provide real-time insights that enable faster, more accurate decisions while reducing administrative burden on security teams and business managers.
