Eightfold AI Secures FedRAMP Moderate Authorization for Talent Platform
Eightfold AI has received a Federal Risk and Authorization Management Program (FedRAMP) Moderate Authorization for its Talent Intelligence Platform, announced in a press release. This certification confirms that Eightfold AI's cloud-based platform meets the rigorous security and risk management standards required for U.S. federal government use at the Moderate impact level.
Achieving FedRAMP Moderate Authorization places Eightfold AI among a select group of cloud solution providers approved for use by U.S. federal agencies. This authorization facilitates faster and easier procurement and deployment of Eightfold's AI platform by public sector organizations, allowing them to enhance talent acquisition, workforce planning, and skills development while adhering to federal security regulations.
The FedRAMP Moderate Authorization ensures that Eightfold AI's platform has been vetted against numerous security controls based on the NIST 800-53 moderate impact baseline, with additional requirements specific to cloud computing. This validation underscores the platform's capability to protect sensitive government data, including personally identifiable information and mission-critical process data, in compliance with U.S. OMB policy.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Daily AI Brief.
Also, consider following us on social media:
Daily AI Brief
Daily report covering major AI developments and industry news, with both top stories and complete market updates
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
OnePlan Earns FedRAMP High Certification for Government Platform
interos.ai Earns FedRAMP Class D Certification
AidFinder Earns FedRAMP Class C Certification in 37 Days
Fedstack Becomes an OpenAI Select Partner
Tranquility AI Earns FedRAMP Class D Certification
Daily AI Brief: the AI news that matters, in your inbox.