Consus Launches LLM Gateway for Companies Handling Sensitive Data, Achieves FedRAMP Equivalency

Addressing Data Compliance in AI Adoption

Consus has introduced an LLM gateway specifically built for organizations that manage sensitive information, such as those in the aerospace and defense sectors. The platform ensures that all artificial intelligence requests are processed using infrastructure compliant with International Traffic in Arms Regulations (ITAR) and Controlled Unclassified Information (CUI) standards.

The company recently completed a FedRAMP equivalency audit against 410 FedRAMP High controls. FedRAMP High is the U.S. government's most stringent security baseline for cloud services that handle sensitive unclassified data, where a breach could lead to severe harm. Achieving this equivalency is a prerequisite for processing CUI information.

Enabling AI for Regulated Industries

Many companies in regulated industries, particularly aerospace and defense, have faced challenges in adopting AI tools due to stringent data protection requirements and compliance risks. Consus aims to bridge this gap by providing a secure inference layer that allows these companies to utilize AI technologies without compromising sensitive data.

The founder, Eric, noted that his prior experience in aerospace and defense revealed how compliance complexities hinder the adoption of new technologies. He observed that many companies, despite recognizing AI's potential benefits, avoided its use due to concerns about model providers training on their data, violating ITAR rules, or failing cyber assessments.

Flexible Integration and Model Access

Consus is designed as a compliant AI inference layer that can integrate with various AI tools and workflows. It supports connections to commercial AI services like ChatGPT and Claude, as well as open-source tools such as the Pi coding agent and Open WebUI. It can also integrate with custom applications developed by individual organizations.

The platform addresses the challenge of fragmented model availability across different government cloud providers (AWS, Azure, Google). Consus focuses on meeting specific data control requirements and desired models, rather than being limited by individual cloud provider offerings, to ensure compliant access to frontier models for ITAR and CUI workloads.