GenRocket и Qapitol создали стратегический альянс для обеспечения безопасности ИИ без использования реальных данных

Ojai, CA July 16, 2026 --(PR.com)-- GenRocket, the leader in Design-Driven Synthetic Data Generation, and Qapitol, an independent AI assurance firm, today announced a strategic partnership that integrates GenRocket's deterministic synthetic data platform with Qapitol’s independent AI evaluation and compliance capabilities. As enterprises accelerate AI adoption, two challenges consistently slow them down: testing AI systems requires large volumes of realistic data, and regulated industries cannot expose production records to development and testing environments without creating compliance risk. Teams are often forced to choose between thorough validation and data privacy — a tradeoff that delays releases, weakens audit readiness, and limits how far AI initiatives can scale. The GenRocket and Qapitol partnership eliminates that tradeoff. In a combined assurance pipeline, GenRocket operates at the data provisioning layer, feeding structured, governance-ready synthetic datasets into Qapitol's Nexus (QE intelligence) and CHEQ (AI compliance) solutions before the assurance lifecycle begins. Enterprises gain a single, connected pipeline: synthetic data is designed and generated on demand, consumed directly by AI evaluation and compliance workflows, and governed alongside assurance evidence in one audit trail. "Enterprises want to validate their AI systems with the same rigor they apply to any mission-critical software, but production data dependency keeps getting in the way," said Garth Rose, CEO of GenRocket. "By combining GenRocket's deterministic synthetic data with Qapitol’s AI assurance solutions, organizations can run complete evaluation and compliance pipelines without a single production record ever entering a test environment." "Proving an AI system is compliant means proving it to someone who didn't build it — a regulator, a board, a customer and that only counts if the verification is independent," said Mohan Panguluri, CEO, Qapitol. "We assure AI systems regardless of how they're built, and clean input data is where credible evidence starts. GenRocket lets us run our assurance on governed synthetic data from the first step, so nothing we certify is ever tainted by exposed production records." Complete AI Evaluation Without Compliance Exposure Traditional AI validation approaches rely on copied or masked production data, creating privacy risk and compliance overhead at every stage. With GenRocket embedded at the provisioning layer, enterprises can run complete AI evaluation pipelines entirely on synthetic data. Because GenRocket's Design-Driven approach generates data from predefined business rules and intelligent generators — not from production samples or probabilistic prediction — there is no production data exposure, no hallucinated values, and no re-identification risk. Regulatory-Mapped Test Scenarios The partnership enables enterprises to generate test scenarios mapped directly to regulatory requirements. Compliance teams can define the conditions, edge cases, and data profiles a regulation demands, and GenRocket generates the precise datasets needed to validate against them — with full referential integrity and repeatability. Qapitol's CHEQ module then captures the resulting evidence as part of the assurance record. Contact Information: GenRocket, Inc. Dave Zwicker 1-978-502-2585 Contact via Email www.genrocket.com Read the full story here: https://www.pr.com/press-release/973847 Press Release Distributed by PR.com