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Datadog for Government Achieves FedRAMP High Certification

Datadog achieved FedRAMP (Federal Risk and Authorization Management Program) High certification, which signifies Datadog’s ability to meet one of the federal government’s most stringent cloud security and compliance standards.

FedRAMP High certification is the top security baseline offered by FedRAMP, designed to protect some of the most sensitive and controlled unclassified information (CUI) government data in cloud environments. It enforces strict security controls to ensure the confidentiality, integrity and availability of critical information. A significant number of federal agencies require FedRAMP High certification for systems handling sensitive data with a high impact in case of a security breach. This level is essential for agencies managing critical information, such as law enforcement and emergency services.

“Achieving FedRAMP High certification places Datadog among a select group of tech companies certified to operate in highly sensitive federal environments. This milestone reinforces Datadog’s leadership in cloud security and compliance, and sets a new standard for observability platforms in regulated sectors,” said Emilio Escobar, CISO at Datadog. “FedRAMP High certification gives U.S. government agencies and contractors the assurance they need to adopt Datadog for secure workloads, bringing modern observability, faster incident response and operational visibility into previously restricted environments.”

FedRAMP High certification reflects a major step in Datadog’s multi-year investment in serving the U.S. public sector.

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Datadog for Government Achieves FedRAMP High Certification

Datadog achieved FedRAMP (Federal Risk and Authorization Management Program) High certification, which signifies Datadog’s ability to meet one of the federal government’s most stringent cloud security and compliance standards.

FedRAMP High certification is the top security baseline offered by FedRAMP, designed to protect some of the most sensitive and controlled unclassified information (CUI) government data in cloud environments. It enforces strict security controls to ensure the confidentiality, integrity and availability of critical information. A significant number of federal agencies require FedRAMP High certification for systems handling sensitive data with a high impact in case of a security breach. This level is essential for agencies managing critical information, such as law enforcement and emergency services.

“Achieving FedRAMP High certification places Datadog among a select group of tech companies certified to operate in highly sensitive federal environments. This milestone reinforces Datadog’s leadership in cloud security and compliance, and sets a new standard for observability platforms in regulated sectors,” said Emilio Escobar, CISO at Datadog. “FedRAMP High certification gives U.S. government agencies and contractors the assurance they need to adopt Datadog for secure workloads, bringing modern observability, faster incident response and operational visibility into previously restricted environments.”

FedRAMP High certification reflects a major step in Datadog’s multi-year investment in serving the U.S. public sector.

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Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...