Behavior Analytics for Security Operation Centers and MSSPs

Customers: Security Operation Centers and MSSPs

Features

  • improves efficiency and decreases the cost of SOC operations by automating the detection of the most noteworthy events in the system
  • Detects and highlights the most noteworthy anomalous events and incidents using advanced machine learning analytics.
  • Improves reactiveness to security threats and system failures.
  • Modular integration to the SIEM platform is cost-effective and flexible.
  • CAP Anomaly Spotter operates in parallel, and does not affect the performance of the SIEM functionalities.

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Behavior Analytics for incident response in IT security

Customers: Incident response and It security professionals

Features

  • Cuts the time of the triage phase in IT incident response operations.
  • Makes possible quicker sanitation operations and thus limits the damage caused by the incident.
  • Works seamlessly with other tools and processes used in incident response operations.
  • Improves efficiency and decreases the cost of incident operations

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Behavior Analytics for identity and access management

Customers: IAM vendors

Features

  • Improves efficiency and decreases the cost of operations by automating the detection of the most noteworthy events in the system.
  • Detects and highlights the most noteworthy anomalous events and incidents using advanced machine learning analytics.
  • Improves the service quality at the enterprise and employee level Modular integration is cost-effective and flexible.
  • CAP Anomaly Spotter operates in parallel, and does not affect the performance of the parent product.

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Behavior Analytics for remote infrastructure monitoring

Customers: Customer service

Features

  • Cuts the cost of RIM operations by adding predictive analysis.
  • Improves the service quality at the enterprise and employee level.
  • Integrates seamlessly to the existing RIM service platform.

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