Science Applications International Corp.
SAIC is a Fortune 500 mission integrator providing mission IT, enterprise IT, engineering services and professional services to defense, space, federal civilian and intelligence customers. The organization focuses on cloud migration and secure multi-cloud architectures, data management and governance, AI lifecycle and governance, digital engineering and systems integration, cybersecurity, and space and counter-unmanned aerial systems solutions.
Industries
Nr. of Employees
Very Large (1000+)
Science Applications International Corp.
Patents
Systems and methods for providing observation scenes corresponding to extended reality (XR) content
US-12422918-B2
View DetailsSystems and methods for providing observation scenes corresponding to extended reality (XR) content
US-11880499-B2
View Details
Systems and methods for providing observation scenes corresponding to extended reality (XR) content
US-12422918-B2
View DetailsSystems and methods for providing observation scenes corresponding to extended reality (XR) content
US-11880499-B2
View DetailsProducts
AI model control plane (conceptual)
A model-control-plane architecture for registering, orchestrating, governing and monitoring AI models as composable services to support explainability, cost attribution, and adversarial resilience.
Data governance and secure data platform (conceptual)
Secure data management platform enabling ingestion, coarse/fine-grained access control, indexing and bulk processing of structured and unstructured data to support analytics while preserving privacy.
Cloud Native
A managed service offering that provides on-demand access to secure, compliant, reliable environments for deploying, scaling, and managing modern applications and DevSecOps pipelines.
Cloud Native Application Protection Platform (CNAPP)
Enterprise Cloud Security Operations solution leveraging Orca Security that combines CSPM, CWPP, and CIEM capabilities in one platform.
Managed Cloud Services
CloudScend FinOps Services enables organizations to maximize the business value of cloud investments by providing near real-time multi-cloud financial reporting.
Managed Cloud Services - FoundationaLS (Level Service)
A fully operational commercial business model for customers requiring cloud consumption coupled with FinOps Services in a single service offering.
AI model control plane (conceptual)
A model-control-plane architecture for registering, orchestrating, governing and monitoring AI models as composable services to support explainability, cost attribution, and adversarial resilience.
Data governance and secure data platform (conceptual)
Secure data management platform enabling ingestion, coarse/fine-grained access control, indexing and bulk processing of structured and unstructured data to support analytics while preserving privacy.
Cloud Native
A managed service offering that provides on-demand access to secure, compliant, reliable environments for deploying, scaling, and managing modern applications and DevSecOps pipelines.
Cloud Native Application Protection Platform (CNAPP)
Enterprise Cloud Security Operations solution leveraging Orca Security that combines CSPM, CWPP, and CIEM capabilities in one platform.
Managed Cloud Services
CloudScend FinOps Services enables organizations to maximize the business value of cloud investments by providing near real-time multi-cloud financial reporting.
Managed Cloud Services - FoundationaLS (Level Service)
A fully operational commercial business model for customers requiring cloud consumption coupled with FinOps Services in a single service offering.
Services
Design and delivery of mission-focused IT solutions for defense, space, intelligence and federal civilian customers.
Cloud migration-as-a-service, enterprise shared services, secure hosting and managed cloud operations for mission and business applications.
Model-based systems engineering, digital validation tooling and simulation to accelerate systems design, sustainment and decision-making.
Data platform integration, AI model development and operationalization, explainability, and human-machine teaming to enable mission analytics and intelligence amplification.
Systems integration, independent verification & validation using agile assurance methods, risk-targeted testing and integration readiness assessments.
Design and fielding of modular, open-architecture counter-unmanned aerial systems to detect, identify and mitigate drone and swarm threats.
Design and delivery of mission-focused IT solutions for defense, space, intelligence and federal civilian customers.
Cloud migration-as-a-service, enterprise shared services, secure hosting and managed cloud operations for mission and business applications.
Model-based systems engineering, digital validation tooling and simulation to accelerate systems design, sustainment and decision-making.
Data platform integration, AI model development and operationalization, explainability, and human-machine teaming to enable mission analytics and intelligence amplification.
Systems integration, independent verification & validation using agile assurance methods, risk-targeted testing and integration readiness assessments.
Design and fielding of modular, open-architecture counter-unmanned aerial systems to detect, identify and mitigate drone and swarm threats.
Expertise Areas
- Cloud migration and enterprise cloud operations
- AI lifecycle management and governance
- Data management, governance and analytics
- Digital engineering and model-based systems engineering
Key Technologies
- Multi-cloud architectures
- Zero-trust security
- AI/ML and model orchestration
- Explainable AI and AI governance
News & Updates
Announcement of an acquisition to advance mission-focused technologies and products.
Article describing six principles for AI model lifecycle management, governance, resilience and composability.
Discussion of secure enterprise cloud benefits, migration advantages and human-centered design for mission systems.
Overview of CUAS requirements including open architecture, modularity and handling swarm threats.
Discussion of responsible AI principles, transparency and the need for explainability in defense AI deployments.
Announcement of an acquisition to advance mission-focused technologies and products.
Article describing six principles for AI model lifecycle management, governance, resilience and composability.
Discussion of secure enterprise cloud benefits, migration advantages and human-centered design for mission systems.
Overview of CUAS requirements including open architecture, modularity and handling swarm threats.
Discussion of responsible AI principles, transparency and the need for explainability in defense AI deployments.