TRUEFORT TECHNOLOGY ALLIANCE
TrueFort Platform and SentinelOne: Zero trust made simple
Together, SentinelOne and TrueFort elevate security efficiency and reduce costs by offering microsegmentation and service account analytics via the SentinelOne agent. This integration streamlines operations for security teams, minimizes resource strain, declutters alerts, and fortifies an organization’s threat defense
Using SentinelOne telemetry data for real-time insight
- Simplifying security architecture: Avoid the need to deploy numerous agents from various vendors, thus streamlining the process of gathering telemetry, achieving visibility, and comprehending the environment
- Enhanced security with superior threat detection and response. SentinelOne and TrueFort elevate protection to the next level, with improved insight into an organization’s security stance and risk posture
- Optimize investment by leveraging existing SentnelOne agents, streamlining cybersecurity operations to gain improved visibility into security posture
- Faster results by integrating new and legacy SentinelOne telemetry with the TrueFort Platform to start real-time monitoring of applications and workloads
TrueFort and SentinelOne: Maximizing protection and security insight
Granular zero trust protection
Utilizing data from SentinelOne's agent , TrueFort can autonomously generate and apply microsegmentation policies to all workloads, reducing vulnerability to attack and aiding in the containment of any breach
Lateral movement prevention
Hault the propagation of any security incident. Identify and control unauthorized lateral movement, the tell-tail signs of ransomware, insider threats, and zero-day attacks
Monitor applications
Gain insight into application activity to identify vulnerabilities, prevent breaches, and ensure compliance with evolving security standards (PCI DSS, HIPAA, NIST, GDPR, and more)
Protect service accounts
Protect vital network links and key service accounts by enabling security teams to discover, comprehend, and implement security protocols, whether in the data center or cloud environments
Behavioral benchmarking
Use machine learning to establish a benchmark of approved activity, where any deviation from ‘normal’ operations is automatically flagged, in real-time, for immediate action
