Log Storage and Analysis

Collect data from various sources and perform deep analysis to find patterns in order detect any potential vulnerabilities within the company network.
  • Continuous collection of telemetry data from servers, desktops, laptops, and other devices around the clock.

  • Enables organizations to collect data from unlimited endpoints in real-time.

  • Provide actionable insights to SOC and GRC teams.

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Cloud Service Monitoring

Collect data from from various SAAS solutions using connector to analyze in order to find any potential security vulnerabilities.
  • Pulls event data related to administration or access from cloud service providers.

  • Contextualizes the event data with other available sources such as CMDB, HR data, etc.

  • Built to gain actionable insights from high frequency, high volume data.

Asset Reconciliation

Discover assets, create asset inventory, analyze the scan reports to identity vulnerable assets.
  • Identifies the application an asset belongs to or the application owner or finds errors in asset allocation in CMDB.

  • Gathers information required for a compliance reason.

  • Asset Discovery is executed based on the event data that comes to the platform.

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Identity Reconciliation

Enrich events with user identity information to generate a 360 degree view of user’s activities in order to find any potential anomalous behavior.
  • Deals with discovering existing accounts, the account aliases, and the account privileges..

  • Insights that help to check security hygiene, or worse, to investigate an unfortunate data breach event.

  • Normalizes the event data and enriches it with user information independent of their account alias.

VPN Analytics Solution

Analyze VPN session data to find any potential mis-use of the VPN connections.
  • Restricts the misuse of VPN connections.

  • Monitors and Analyzes VPN data feed in real-time.

  • Finds out potential anomalies in a Virtual Private Network.

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DLP (Data Loss Protection) Solution

Analyze endpoint such as servers, laptops, printers etc. logs to detect and trace any potental data loss.
  • Prevents users from sensitive information based on file contents.

  • Provides contextual information for forensic investigation in case of an unfortunate case of a data leak.

  • Provides insights by gathering information from various data sources.