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Cybercriminals now use AI to mimic legitimate user behavior, making traditional security prevention tactics less effective. To combat these AI threats, organizations need unified, real-time visibility into identity threat behaviors. Without it, detecting and preventing AI-powered credential stuffing, session hijacking, and privilege escalation becomes nearly impossible.
Attackers thrive on gaps in identity security. With AI, attackers are able to take control more efficiently by copying real user behavior. They’re able to exploit weak authentication, compromised credentials, poorly monitored privileged accounts, and more to infiltrate systems undetected. Without unified visibility into user activity, organizations risk the possibility of missing early warning signs that could prevent a breach.
Real-time identity threat visibility also enables security teams to monitor, analyze, and detect anomalies in user behavior before they escalate into major security incidents. It is the foundation of a strong Identity Threat Detection and Response (ITDR) strategy. Leveraging unified, real-time visibility enables businesses to stay one step ahead of AI-based threats.
To effectively combat AI identity-based attacks, organizations must implement advanced monitoring and detection strategies. Here’s how:
Adopting a real-time identity-centric security approach allows organizations to proactively detect anomalies, enforce access controls, and respond to suspicious activities. This prevents AI attacks from escalating into major breaches. Gaining real-time visibility into identity behaviors isn’t just an enhancement to security—it’s a necessity.
Read the full white paper to see how top companies improve their identity security strategies to fight AI attacks.
