Keepit launches AI Truth Cloud to verify data for AI

Keepit has launched AI Truth Cloud, marking a broader push to position backup data as a trusted source for artificial intelligence systems.

The launch signals a new direction in how Keepit wants customers to use the copies of business data it stores outside production systems. Rather than treating backup mainly as a tool for compliance, recovery or ransomware response, Keepit is presenting it as a separate data layer that AI systems can verify, govern and use.

The platform is built around five pillars: Protect, Observe, Recover, Prove and Integrate. Keepit says they are intended to support a broader approach to data trust as organisations increasingly rely on AI agents and models in operational decision-making.

Three product areas are central to the initial rollout. AI Connector Backup is designed to protect AI-related assets such as agent configurations, skills, projects and models, with point-in-time restore. Keepit MCP is a headless API layer intended to connect Keepit-managed data to AI tools and workflows. AI Safe Room is an isolated environment based on an immutable copy of data for training, inference and testing away from live production systems.

Keepit says organisations should be able to verify the authenticity, provenance and integrity of data before it is used by an AI system. It also argues that a separate, immutable copy can serve as a recovery point if an AI tool, agent or model behaves unexpectedly.

Trust layer

Keepit is seeking to distinguish itself from AI vendors by stressing its role as an independent custodian of data copies across the applications it protects. Those copies are held in a vendor-independent cloud, which the company says gives customers a source of data outside the influence of third-party software providers.

The move comes as more software groups and infrastructure suppliers try to define their place in the AI stack. For backup and cyber recovery vendors, that increasingly means presenting stored data not just as insurance against outages or attacks, but as a controlled asset that can feed AI systems without exposing production environments.

Keepit plans further development across all five pillars, including AI agent behavioural monitoring, automated compliance evidence generation, cryptographic data provenance and AI-driven threat rollback. It did not provide launch timings for those features.

Alongside the product launch, Keepit is introducing an independent software vendor partnership strategy. The plan would allow software vendors to integrate Keepit's approach to sovereignty, immutability and governance into their own products, extending the platform's reach beyond direct customers.

Keepit also said it would continue broadening the range of applications and environments it supports as customers adopt more AI-driven and agentic workflows. The company argues that protecting the data AI tools create and consume will become a new area of demand for backup suppliers.

Frederik Schouboe, Co-founder and Chief Visionary Officer at Keepit, said the product is designed to address a basic question: whether data used by AI can be trusted. "Organisations are making high-stakes decisions based on what their AI tells them. But data that can't be verified shouldn't be acted on. AI Truth Cloud gives enterprises an independent, tamper-proof, and provably complete data foundation - one that AI can safely reason from, one that organisations can prove the integrity of and roll back to a known-good state from when a decision goes wrong. Verifying the truth before you act, and recovering it when you didn't. That is what it means to own the truth," Schouboe said.

Customer demand

Keepit says some customers are already using its data foundation in AI-related workflows. Quanta Services echoed that message, linking verified and immutable data to greater confidence in AI use inside the business.

"Knowing that our AI is working from a verified, immutable source changes the conversation from risk management to competitive advantage. Keepit has become a foundational part of how we think about data integrity for AI," said Tom Hicks, Senior Manager, Identity, Quanta Services.

Channel partners also pointed to demand from regulated sectors. Phoenix said public sector customers in particular are looking for ways to demonstrate that AI systems are used responsibly and can be audited.

"Our customers - especially in the public sector - are asking how they can use AI responsibly and demonstrate that to regulators. AI Truth Cloud changes that conversation from aspiration to practice. With an auditable, protected data layer built in, we can help organisations deploy AI at scale without compromising on governance or recoverability," said Jonny Scott, Head of Cyber Advisory, Phoenix.

Keepit, which is headquartered in Copenhagen and says it serves more than 25,000 companies, has built its business around protecting software-as-a-service data in a cloud operated independently of the software vendors whose applications its customers use. The AI Truth Cloud launch extends that model into the growing debate over where reliable data for AI should sit and who should control it.