Enterprises across the world are facing tremendous challenge to protect their business from the constantly increasing cyber threat landscape.

Features & Benefits

Features
  • User/ entity behavior profiling, segmentation and visualization
  • High risk user/ entity identification, visualization and outlier detection
  • Machine learning based anomaly detection in internal connections and assigning a risk score
  • Data exfiltration and anomaly detection  in external connections along with graphical representation of why an outlier led to an alert
  • Advanced threat hunting capabilities an “exhaustive” & “fast” search capability to look for outliers / anomalies
  • Data Analytics with extended user or entity intelligence covering Logon / log off events, AD events, Remote login patterns and Network usage
  • Network analytics with reporting on Network band width usage, Connection count, DNS resolutions, to and fro Traffic from sources of bad reputation
  • Analysing exclusive behavior patterns through machine learning and subsequent reduction false positives over a period of time
  • Dynamic entity link analysis with User Mapping, Detection & highlighting hidden relationships between users, IP addresses, domain demonstration using Network Graph
  • Reports and visualization using intuitive analytics dashboards, Compounded risk scores and Meta data with drill down capability on all reports
Benefits
  • Real-time detection upon occurrence of unusual activities
  • Multidimensional understanding about users and analysts based on Machine learning.
  • Artificial Intelligence: Disambiguation between Anomalous and Malicious behavior
  • Searching & Hunting: Rich User Experience for Collaborative Discovery
  • Reinforcement learning to automate Kill-Chain mapping and to distinguish malicious from anomalous.
  • Signature-less behavior based analytics for detecting insider and targeted cyber attacks
  • User and entity  centric monitoring across hosts, network and applications

Resources