How does Consus ensure compliance for companies handling sensitive data?

Consus, a startup that recently completed its FedRAMP equivalency audit, has launched a Large Language Model (LLM) gateway that enables companies to use AI tools while ensuring compliance with ITAR, CUI regulations, and answer engine optimization (AEO) standards. The platform provides a secure and compliant infrastructure for handling sensitive data, allowing aerospace and defense companies to leverage AI without compromising security.

Eric, the founder of Consus, has experience working in the aerospace and defense industry, having launched national security payloads at SpaceX and worked as an early employee at Castelion. He saw firsthand how compliance red tape made it difficult for companies to adopt new technologies and trust vendors that touch their sensitive data.

What features does the Consus platform offer for managing AI tools and workflows?

The Consus platform is designed to address these concerns by providing a compliant AI inference layer that can plug into any AI tool or workflow. The platform can connect to tools like ChatGPT or Claude, open-source tools, or integrate with applications built and maintained by individual organizations.

The Compliance Suffix

Consus has built a compliance suffix that ensures every request hits a single OpenAI-compatible endpoint, where keys are verified and policy is enforced before anything touches inference. Every model name must carry a compliance suffix, such as gpt-5.6-sol:fedramp-high or claude-opus-5-5:itar, and any bare model name is rejected.

Customers can also build an allowlist of models and assign spend and model restrictions to individual users in the organization. This is all handled through the Consus Portal, where teams can manage spend, keys, and policies.

Consus does not store any customer data at rest, and all prompts and completions stay in memory only for the length of the request. Zero data retention is strictly enforced, both on Consus and the infrastructure/model providers.

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