Newsletters




Datadog for Government Receives ‘In Process’ GovRAMP High Authorization


Datadog, Inc., the monitoring and security platform for cloud applications, is announcing its achievement of the ‘In Process’ designation for GovRAMP High Authorization. Datadog’s designation affirms its commitment toward delivering secure, scalable observability for state and local government agencies and educational institutions. 

This designation builds off of Datadog’s existing FedRAMP Moderate authorization and ‘In Process’ status for FedRAMP High, highlighting the company’s continuous dedication toward meeting robust security standards. With its latest ‘In Process’ validation for GovRAMP High Authorization, Datadog for Government accelerates digital transformation with greater confidence and security for state, local, and education (SLED) IT teams. 

“This status reflects our continued investment in helping the public sector strengthen operational resilience and improve cost-efficiency,” said Ryan Gault, regional director, SLED East at Datadog. “Observability is foundational to delivering secure, high-performing digital services. With Datadog for Government now ‘In Process’ for GovRAMP High, we’re enabling agencies to gain end-to-end visibility, reduce downtime, and make smarter use of their IT resources.”

GovRAMP delivers a standardized security framework that allows public sector organizations to evaluate cloud services against NIST 800-53 Rev. 5 controls. With high-impact authorization, SLED agencies can leverage Datadog for Government to accelerate IT modernization with end-to-end observability and security. 

Datadog for Government enables SLED agencies to:

  • Detect and resolve performance issues before they impact public- and student-facing systems 
  • Fortify security posture with continuous threat detection and compliance monitoring
  • Optimize cloud and on-prem resources to reduce operational costs
  • Use real-time analytics to enhance digital service delivery and citizen engagement
To learn more about Datadog, please visit https://www.datadoghq.com/.

Sponsors