ideaBOX today announced the release of ROM v2.0, a major update to its Return on Mitigation framework that introduces enhanced modeling capabilities specifically designed for the AI era of enterprise data risk.
The core addition in ROM v2.0 is a dedicated AI Exposure Modeling module that maps the flow of sensitive data into and through enterprise AI tools — including Microsoft Copilot, ChatGPT Enterprise, and internally deployed LLMs. The module identifies which data types are being ingested, retained, or exposed by AI systems, and assigns financial risk scores based on regulatory classification and breach probability.
Additional enhancements include: expanded FAIR methodology integration, a new real-time risk dashboard for CISO reporting, automated regulatory mapping for HIPAA, CMMC 2.0, GDPR, and FTC Safeguards Rule, and an improved sensitivity classification engine powered by updated Actifile data discovery.
Enterprise AI adoption has accelerated dramatically. Most organizations are deploying AI copilots and productivity tools without fully understanding what sensitive data those tools are accessing, storing, or transmitting. ROM v2.0 gives security and compliance teams the visibility and financial quantification needed to govern AI responsibly — and to defend those governance decisions to the board.
ROM v2.0 is available now for all ideaBOX advisory engagements. Contact us to schedule a demonstration.
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