Join Booz Allen at the AWS DC Summit 2024

Booz Allen EdgeXtend™ delivers rugged and portable platforms that extend the power of hyperscale cloud services to austere locations at the distributed and disconnected edge. Deployable teams operating in denied, disrupted, intermittent, and low-bandwidth (DDIL) environments cannot reliably access hyperscale cloud services that have become ubiquitous across the enterprise. Addressing this challenge, EdgeXtend delivers rugged networking, storage, and computing hardware with zero trust security, DevOps, and cloud-native services that leverage the cloud when connected and maintain resilient operations when disconnected. 

Booz Allen Knowledge Assistant is a large language model and retrieval augmented generation-enabled information retriever that works with structured and unstructured data and includes enhanced data processing and retrieval methods, such as agentic behaviors. Serverless through Lambda, Amazon ECS on Fargate, and Bedrock foundation models, it also strategically utilizes traditional compute services, thereby minimizing both upfront operational expenses and long-term developer support. 

DarkLabs Detect goes the final mile for defense in depth. Our federated analytics capability empowers security operations at scale, across your entire network, by leveraging federated management to deliver continuous detection and hunt capabilities where your data resides.  Enhanced by our no-touch subscription service which delivers proactive, nation-state indicators across your entire security stack, DarkLabs Detect eliminates defensive blind spots with rules, signatures, cyber AI-enhanced advanced analytics, and more that flow from the firewall to the endpoint, across operational technology (OT) to cloud. Elite detection engineers, reverse engineers, adversary analysts, and data scientists hone a deep understanding of actor goals, TTPs, and infrastructure that is at your disposal to deploy across complex, decentralized networks. Only DarkLabs Detect curates this level of forward-looking adversary telemetry and then translates it into effortlessly integrated protections for all your security infrastructure to illuminate the entirety of your mission space and assess risk at scale. 

We'll have an additional Q&A following Booz Allen’s breakout session: Enhancing Citizen Experience with Generative AI and AWS Bedrock. 

Clairvoyant’s SageMakerSpace is a purpose-built machine learning (ML) environment that can enable the use of machine learning across the intelligence community (IC) through MLOps. SageMakerSpace enables data scientists to leverage the power of Amazon SageMaker via a secure portal so they can collaboratively build, train, and deploy ML models for their mission use cases. SageMakerSpace is even more powerful when used within the Clairvoyant DevOps ecosystem, which gives users the data they need and the ability to plug and play ML into operations. 

To make it possible to deploy ML models for use in IC missions, Booz Allen developed an MLOps approach similar to the successful solution created for software developers. The modeling environment solution provides data scientists and ML engineers with industry-standard ML modeling tools and task-ready GPU and CPU hardware, key components for delivering an ML model to operations. 

When combined with the other elements of the DevOps stack (i.e., the cloud hosting framework, CI/CD pipeline, and IDP), these capabilities eliminate the most common barriers to operationalizing ML models. 

Engage with the Booz Allen Partnerships team to explore how to become part of the Booz Allen Partner ecosystem.