LUMA Launches Security-First AI Platform to Combat Shadow AI in High-Stakes Business Environments

LUMA has launched a security-first AI platform specifically designed for organizations where speed, precision, and control directly impact revenue and risk. This announcement comes as studies reveal that 9 out of 10 employees use AI on the job, often through unauthorized or "Shadow AI" tools that bypass organizational security protocols. The platform provides a governed, enterprise-grade alternative built for high-stakes environments where traditional AI tools present unacceptable security risks.

Unlike broad, open-ended AI tools, LUMA addresses two major enterprise challenges: establishing trust in AI systems and demonstrating clear business payoff. The platform focuses on secure, controlled use cases tied to specific business outcomes, turning an organization's internal knowledge library into a governed execution engine. This approach ensures teams can securely find and synthesize complex information without compromising security policies. RocketDocs, a B2B SaaS company focused on Strategic Response Management and AI-powered knowledge management, created LUMA based on decades of experience working with large, highly regulated organizations.

"RocketDocs has worked for decades with the largest and most highly regulated organizations helping them to manage critical content," said Perry Robinson, Chairman & CEO of RocketDocs. "With LUMA, we are addressing whether AI can be trusted with sensitive information and whether it can deliver real business ROI. LUMA is built to do both." The platform functions as a vertical application provider that puts company knowledge directly to work in core revenue and operational activities. By keeping response workflows and sensitive collaboration inside one governed system, LUMA reduces coordination drag and improves consistency across teams.

Key platform features include authorized knowledge grounding that limits AI activity to a company's authorized knowledge sources rather than the open internet. Specialized vertical AI applications include an AI Solutions Engineer and an AI RFP Manager to support sales proposal preparation and RFx questionnaire responses. Hierarchical prioritization allows users to prioritize specific content in their Knowledge Base to ensure the most relevant information is applied first by Generative AI processes. Enterprise-grade governance features include permission-aware access to content, controlled knowledge scope, administrative oversight, and workflow accountability.

While originating from RocketDocs expertise, LUMA operates as a standalone AI platform designed to help teams work faster and more effectively while maintaining a trustworthy operating model. The roadmap includes rapid expansion into vertical applications for Customer Success and HR teams, covering use cases from account-plan preparation to onboarding and policy guidance. Organizations can learn more about how LUMA turns institutional knowledge into a repeatable operating advantage by visiting https://askluma.io/. The platform represents a significant development in enterprise AI adoption, addressing both security concerns and business value requirements that have hindered widespread implementation in regulated industries.