Orca Security has received FedRAMP Authorized status, enabling federal agencies to access its cloud security platform, which provides extensive risk visibility and management for cloud assets. The designation confirms compliance with rigorous government security standards.

FedRAMP, the Federal Risk and Authorization Management Program, standardizes security assessments and monitoring for cloud technology used by federal entities, focusing on the safeguarding of federal information.

Gil Geron, CEO and Co-Founder of Orca Security, emphasized the importance of modern approaches to cybersecurity, stating, “The U.S. government is ramping up its zero trust initiatives and requirements around software bills of material -- important steps to improve the nation’s cybersecurity that require a modern approach for securing public sector, multi-cloud environments.”

The Orca Cloud Security Platform operates without agents, allowing it to automatically uncover all cloud assets and assess risks related to vulnerabilities, malware, misconfigurations, and more. It efficiently identifies threats across cloud landscapes and adapts to include new assets as they are added.

The authorization process for FedRAMP necessitates a federal sponsor and involves an in-depth evaluation. Orca Security completed this process in under two years, highlighting its commitment to enhancing cloud security for government agencies.

Karen Laughton, EVP of Assessment Services at Coalfire, commented on the increasing reliance of the government on cloud services, noting the need for smooth security solutions. Orca's platform aligns with these needs.

Federal agencies benefit from Orca's platform, which facilitates compliance with numerous regulatory frameworks and conducts contextual risk analysis using a Unified Data Model, pinpointing high-risk vulnerabilities that could affect mission-critical data.

Further details on Orca Security’s role in a FedRAMP environment and options for personalized demonstrations can be found on its government solutions page.