SECURBORATION INC

Intelligent information dissemination will be a critical weapon in future warfare, since it will enable warfighters to reduce sensor-to-shooter information delivery time, quickening the “kill chain� ...

In this document, Securboration proposes a Phase II effort to develop a technology called Zero-Trust Analytics for Machine Learning SecDevOps (ZTA-ML or “Zeta ML”). The overarching goal of the pro ...

To take advantage of the growing volume of PAI sources providing critical and timely information about important events, intelligence analysts need better tools to comb through the irrelevant, incorre ...

As the Air Force seeks to transition operations to the combat cloud and achieve a distributed execution environment, there is critical need to provision missions with secure Information Resilience (IR ...

There are significant challenges to overcome to reach the United States Air Force Combat Cloud Operating Concept’s goal of mission-aware information exchange, including a lack of interoperability am ...

Genesis-IMD is a powerful machine learning (ML) engine designed initially for Intelligence Mission Data (IMD) analysts at the National Air and Space Intelligence Center (NASIC), with applicability acr ...

EvITE is a trade-space evaluation framework, being built by Securboration with Raytheon/BBN. It will address tradeoffs in adaptable network configurations for optimized information delivery to tactica ...

By building upon the current DESIDe (Digital Engineering Supporting Decisions) framework which was developed by previous SBIR projects with AFRL, the Securboration Team will incorporate specific MIDS ...

The Securboration team has developed a micro service framework, Genesis, leveraging Artificial Intelligence/Machine Learning to provide automated updates to entity records and related system models fo ...

Health surveillance is the first line in detecting an epidemic and understanding its causes and progression and preventing a pandemic. It generally consists of systematic collection and reporting of p ...