Booz Allen OriginOps
Simplifying data streaming and enrichment for AI and Cyber
Booz Allen OriginOps is a near-real-time event stream processor and data pipeline solution built to help enterprises effectively manage data. With out-of-the-box functionality, the OriginOps solution normalizes, transports, analyzes, enriches, and filters data, enabling users to perform analytics on the data as it's created. This ensures that only the necessary data reaches its destination quickly, saving both time and money. OriginOps is backed by tens of millions of dollars in engineering investment and has a proven track record in operational cyber and AI analytics across the public sector.
All IT and OT enterprises face growing data challenges, making an effective data analysis and transport solution more critical than ever. Analyzing your data without centralizing it offers a more comprehensive risk picture, reduces stress on existing investments, and enhances operational efficiency. With rising log retention mandates and advanced threat-detection needs, AI-driven solutions are necessary to simplify data processing for mission and business objectives.
As an event stream processor (ESP), OriginOps seamlessly integrates with almost any existing architecture. Featuring over 90 data connectors and an easy-to-use interface, it ensures simple deployment and configuration and can be managed by most operations teams.
Features
Stream Anywhere
Deploy, connect, and stream data from any location, including air-gapped environments. OriginOps is data and platform agnostic, and it can be easily deployed using Kubernetes.
- Interoperable and leverages existing deployed tools/available data without the need for significant additional tools
- Prevents tool vendor lock-in with interchangeable tools while maintaining the data architecture flow
- Supports polycloud applications and services
Deploy Seamlessly
Designed with a flexible deployment strategy in Kubernetes, OriginOps deploys and operates seamlessly across cloud service providers (CSP), on-premises environments, and air-gapped networks. Our solution comes with a base set of configuration templates, enabling quick deployment (hours not weeks) so you can enjoy a much faster return on investment.
- Decouples compute and storage resource requirements
- Enhances scalability
- Increases cost-effectiveness
Transform Efficiently
Shape, size, and model your data to enable AI and achieve cost savings for data processing and resource allocation. OriginOps supports more than 90 data resources right out of the box.
- Reduces data redundancy
- Reduces complexity of data after identification and isolation of key attributes
- Identifies potential dependent and relational data that can be segmented
Enrich Data to High Fidelity
Enhancement of data through the augmentation or supplementation from other data sources such as external data (e.g., threat intel) or other internal data (e.g., reference data such as asset data).
- Contextualizes enriched data so it applies to the environment and enables prioritization based on correlation and use cases
- Enables refined insights
