Security and networking teams are faced with a constant barrage of threats. These events are tremendously expensive and the cost to the brand is immeasurable. Security attacks on enterprise infrastructure and attempts at data exfiltration are testing the limits of legacy solutions. VersaAI™ delivers the enhanced capability to continually monitor complex networks and detect sophisticated attacks.
Versa User Entity Behavior Analytics (UEBA)
Advanced machine learning engines analyze user behavior and detect anomalies. It scores user activities based on severity and applies automatic responses to high-risk activities. Its unique features include:
Continuous monitoring of network traffic, user behavior and system logs to detect unusual
activities and potential security breaches. This includes application performance anomalies or
latency discrepancies between locations.
Anomalous behavior detection by all entities (user, laptops, phones, IoT devices, and
more). Anomalous behaviors identified include infrequent destinations, impossible travel
behavior, bulk deletions, build downloads, access from different devices, custom anomalous
AI/ML-Enhanced Malware Detection for
Advanced Threat Protection
VersaAI™ deploys multi-stage AI/ML for real-time pre-processing of files and code snippets to identify malware. This allows real-time pre-processing and inference for multiple file types to identify malicious behavior. These AI/ML models reduce the need for sandboxing by 75% allowing compute cost optimization. This technique is effective in eliminating zero-day attacks covering 90% of file types and improving the security posture for an organization.