Track, detect, and investigate norms and anomalies, and secure your privileged accounts from internal and external threats.
Build personas for users and devices based on logon time, duration, and frequency along with users' geographies, access levels, or devices.
Use device and user personas to create real-time alerts to know when users or devices stray from profiled behavior.
Monitor hierarchical relations between accounts, users, and passwords of individual and shared accounts to ensure their security.
Analyze log data to keep tabs addition, deletion, and transfer of resources to help you map accounts and users in case of anomalies.
Investigate logon activities across accounts. Identify, prioritize, and prevent threat events from occurring using risk scores.
Routinely assess password usage on privileged and shared accounts to ensure compliance with organizational and governmental regulations.
Predict accounts or users that are likely to become vulnerable due to password expiration and proactively update passwords.
Investigate security incidents to identify actions or behaviors that created loop holes in your security perimeter and fix those flaws.
Get real-time information about the composition of cybersecurity threats, and instantly repair or renew your defense strategy to strengthen your security.
Evolve from the typical see-threats-stop-threats monitoring approach to proactively preventing them by monitoring and analyzing the behavior of users and accounts.
With AI-enabled analytics, security leaders and IT teams can gain insights into privileged account access, and detect, dissect, and take action on anomalous user and entity behavior—without relying heavily on data experts, which can inadvertently delay the threat-detection and response.
56% increase in security for employees working from home
47% increase in effectively monitoring employee activities.
31% increase in adoption of Zero Trust.