Why ChatGPT Can't Touch Sensitive Data Without Consus

Aerospace and defense firms are locked out of leveraging powerful AI tools like ChatGPT due to strict data compliance requirements. Companies like SpaceX and satellite manufacturers face impossible choices between innovation and security. Consus bridges this gap by creating a secure LLM gateway that handles ITAR-restricted and CUI-compliant infrastructure.
The core issue stems from how these organizations must protect sensitive data while still benefiting from AI advancements. FedRAMP High certification represents the U.S. government's most stringent security standards for cloud services processing sensitive unclassified information. Without FedRAMP equivalency or authorization, companies cannot legally process CUI information.
Consus founder Eric built his career in aerospace security, witnessing firsthand how regulatory hurdles prevent technological adoption. His experience at SpaceX and Castelion revealed a painful paradox: sensitive industries watch as other sectors integrate AI tools without question. Even when companies recognize AI's potential, they hesitate due to legitimate fears about model providers training on their data and violating ITAR regulations.
The solution requires more than just moving to a government cloud. Most aerospace firms don't operate across all three major GovClouds (AWS, Azure, Google), and even within these restricted environments, models differ in compliance levels. GPT-5.6 Sol exists only in Azure Government, while Claude Opus 5.5 runs through AWS Bedrock's GovCloud.
This fragmentation creates an impractical situation where organizations must secure separate cloud environments for different models. Consus addresses this by offering a unified endpoint that aggregates multiple government cloud environments behind a single OpenAI-compatible interface. Every request passes through their system where keys are verified and policies enforced before reaching the inference layer.
The compliance suffix system ensures strict adherence to regulations. For example, a model might be labeled gpt-5.6-sol:fedramp-high or claude-opus-5-5:itar. Using a bare model name triggers rejection since Consus never proxies to standard commercial endpoints.
Enterprise controls include customizable allowlists and granular user permissions. The Consus Portal allows teams to manage spending, API keys, and security policies from a single dashboard. Organizations can assign specific model access while maintaining complete control over data exposure.
A key differentiator is how Consus simplifies access for different team sizes. Smaller groups struggle to gain entry into restricted platforms, while larger enterprises find government clouds fall short of full compliance requirements. The platform eliminates the need to duplicate security infrastructure across multiple cloud providers.
The technical architecture deserves attention. Every request hits an OpenAI-compatible endpoint where Consus applies policy enforcement before forwarding to the actual model. This approach maintains the same developer experience while adding critical security layers. The system supports open-source tools including Pi coding agent and Open WebUI alongside major LLMs.
This approach has significant implications for model development. Companies can now experiment with AI without exposing sensitive data or violating compliance. The platform also normalizes access to restricted models that previously required specialized procurement processes.
The business case becomes clearer when considering alternative solutions. AWS Bedrock and Azure Government offer some compliance options but lack the unified interface Consus provides. Organizations would otherwise need separate security protocols for each cloud provider they choose to adopt.
For those interested in technical implementation, integration requires minimal changes to existing workflows. Developers simply replace their standard API calls with Consus endpoints while maintaining all existing functionality. The system handles the security aspects transparently while preserving the developer experience.
The market response has been notable despite the platform's niche focus. Early adopters include firms that previously abandoned AI projects entirely due to compliance concerns. This suggests the solution addresses a significant market need that larger platforms have failed to address.
Looking ahead, Consus aims to expand support for additional models and compliance frameworks. The company plans to enhance its policy enforcement capabilities while maintaining the current unified interface approach. Future developments may include deeper integration with enterprise security systems.
The implications extend beyond aerospace and defense. Other industries handling sensitive data but restricted from standard AI tools could benefit from similar approaches. The model demonstrates how specialized infrastructure can unlock innovation without sacrificing security.
Technical teams should note that performance remains virtually identical to standard API calls since Consus handles only policy enforcement before forwarding requests. Latency issues appear negligible in most use cases, though this depends on specific implementation details.
Enterprise customers should evaluate their current cloud infrastructure and compliance requirements before adoption. Organizations using multiple GovClouds may find particular value in the unified interface approach, which eliminates the need to duplicate security controls.
For those considering alternative solutions, the key advantage remains how Consus normalizes access to restricted AI tools without requiring fundamental changes to existing workflows. The platform represents a critical bridge between compliance requirements and technological advancement.
The solution ultimately addresses a fundamental tension in modern technology: how to leverage innovation without sacrificing security. By creating a specialized infrastructure layer, Consus demonstrates that responsible AI adoption remains possible even for the most restricted environments.