Preempt provides greater visibility into your risky users, endpoints, stale or compromised accounts and privileged user behavior. By monitoring and learning the behavior of every user, group and device on your network including when/where they log in, their role, their system privileges, strength of passwords, and more, you can preempt and identify malicious activity or threats.
User and Entity Behavior Analytics
Allow threat detection
Provide threat mitigation strategy
Allow easy integration and deployment
Assign scores to risks
Contact for Pricing
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
Preempt’s Behavioral Firewall couples User and Entity Behavior Analytics (UEBA) and Adaptive Response to help you proactively protect your organization and reduce risk from attackers and malicious insiders.
By learning the behavior of every user including privileged user, system account and endpoint in the network, Preempt establishes real-time behavior-based policies, user-driven security, risk scoring and fine-grained automated actions to eliminate threats without manual intervention from your security team. The software detect risks that may be malicious to organizations.
The software makes use of adaptive responses and entity behavioral analytics to detect risks and threats. The software analyzes behavior of users, accounts, entities etc. to develop a real time behavior based guidelines to detect risks and threats. The software makes use of powerful and advanced analytic techniques to identify risks and serve as a firewall to threats.
The software make use of behavioral analytic techniques to detect viruses and risk. The software looks at the behavior of users in the network for instance, where they log in, what is the strength of their passwords etc. to detect threats. The software actively analyzes behavior of the users across the network to identify malicious activities. The firewall identifies threats and risks. The software does not identify threats but it also stops them. The software makes use of machine learning techniques to provide a remedy to deal with threats and risks. The software assigns score to risky users. These scores are assigned keeping in view various factors.
These factors are strength of password, number of critical incidents, peer groups, roles, and asses to cloud applications, number of end points etc. The score assigned to users can help in finding risky users. They can be helped so that they become more secure in the future. With the help of INSIGHT feature, the software provides a clear view of areas that are vulnerable to attacks. The software with its policy engine provide a complete set of guidelines to security analysts about how to deal with threats and risks. Mitigation strategies are delivered by policy engine feature. The software allows for easy integration with current system and flexible deployment keeping view the requirements of organizations.