Cybersecurity Specialist Forcepoint announced the launch of Dynamic User Protection, which it said will redefine modern user activity monitoring (UAM) and insider threat protection with the industry’s first cloud-based solution to deliver functionality without policy configuration
Thanks to this capability, security teams are now empowered to make real-time visibility into the true risk behaviours of compromised and malicious users in hybrid cloud environments.
All security begins with visibility and the massive shift to remote work created blind spots into user activities with critical data and intellectual property in unmanaged home environments.
With Dynamic User Protection, the monitoring of user activity not only becomes easy-to-deploy but also provides mainstream enterprise access to continuous risk assessment across security control points, according to the specialist.
For example, utilising Dynamic User Protection risk scores transforms the traditional audit-only data loss prevention (DLP) deployment into an intelligent DLP by automating risk-based policy response while significantly reducing false positives. This ability to understand user risk in real-time across all control points is becoming a cybersecurity game-changer for security teams, enabling global companies to seamlessly implement core Zero Trust and CARTA frameworks for the first time.
Nico Popp, chief product officer at Forcepoint, said, “Dynamic User Protection is the heart of our new converged cloud security platform with integration into Forcepoint Data Loss Prevention available today with future integration planned across the entirety of the Forcepoint portfolio, including our recently announced Cloud Security Gateway SASE solution which will be delivered in first-quarter 2021. This is the true power of human-centric cybersecurity realised today, and it is powerful for every organisation that desires the ability to prevent a data breach before it can occur.”
Dynamic User Protection uses Indicators of Behavior (IoB) as a real-time analytics engine to determine an entity’s overall risk. These IoBs provide safety teams with a behavioural context and, by combining multiple behaviours, identify true risk scores that assess an entity’s overall risk as good and/or bad. With this capability, companies can now prioritise observed risks in real-time to move away from infringement while also reducing security friction.
