According to Venturebeat’s report CISO deployed the following AI solutions How CISOs are using AI to protect employees’ identities Security teams and the CISOs leading them can’t afford to lose the AI war. The following five AI and machine learning (ML) techniques have become table stakes for stopping identity-based attacks:
1. Getting a more precise count, location and telemetry of all endpoints, machines and associated identities
Cybersecurity and IT teams often can’t locate 35% to 40% of their endpoints and machines. With the proliferation of new identities assigned to endpoints and the resulting unchecked agent sprawl, attackers’ reconnaissance efforts quickly find over configured endpoints.
2. Moving beyond mobile device VPNs and standardizing AI-enabled Mobile Threat Defense (MTD)
In a recent interview with VentureBeat, Ivanti chief product officer Srinivas Mukkamala noted that, “increasingly, our cell phones contain our whole lives. At the heart of modern device management organizations [protecting] data everywhere work happens, especially work that is happening on personal devices.”
3. Improving risk scoring accuracy and precision to more quickly identify identity threats
4. Detecting synthetic identity fraud and deepfakes
5.Relying on resilient, self-healing endpoints
AI is core to the future of identity security
As a recent CrowdStrike report illustrated, identities are under siege. Remote and hybrid workers are high-value targets because attackers also want to steal their identities.