Strivus is an event stream processor and data pipeline solution that helps engineering, and security teams stream, transform and enrich data.

Booz Allen Strivus

Streamlining high-fidelity data for AI and cyber analytics

Booz Allen Strivus™ is a near–real-time event stream processor and data pipeline solution that helps enterprises manage and operationalize data at scale. With powerful out-of-the-box capabilities, Strivus transports, analyzes, enriches, and normalizes data as it’s created, ensuring only the necessary data moves quickly to its destination, reducing both cost and complexity.

Enterprises face rising data volumes, stricter retention mandates, and advanced threat detection demands. Analyzing decentralized data provides a comprehensive risk picture, reduces strain on existing systems, and improves operational efficiency.  

Benefits

Features

Stream Anywhere

Deploy, connect, and stream data from any environment—including air-gapped systems.

  • Integrates with existing tools and data
  • Prevents vendor lock-in with interchangeable components
  • Supports polycloud applications and services

Deploy Seamlessly

Built for flexible Kubernetes deployment, Strivus runs smoothly across CSPs, on-premises systems, and air-gapped networks.

  • Decouples compute and storage
  • Enhances scalability
  • Improves cost-effectiveness

Transform Efficiently

Shape and optimize your data for AI while reducing processing and resource costs. Strivus supports 90+ data sources out of the box.

  • Reduces data redundancy
  • Simplifies data by isolating key attributes
  • Identifies dependent and relational data for segmentation

Enrich Data to High Fidelity

Enhance data by augmenting it with external sources (e.g., threat intel) or internal reference data (e.g., asset data).

  • Contextualizes data for your environment and prioritizes based on correlation
  • Enables more refined insights

Try it now

Sign up below for your 90-day free trial. Your free trial includes access to all features and support for deployment.

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