Keepit launches AI data protection platform

Data protection provider Keepit has launched a new platform that extends its backup and recovery capabilities to data used and generated by artificial intelligence systems.

AI Truth Cloud is designed to address data integrity, governance and recoverability concerns as businesses adopt AI tools and agentic systems for increasingly important tasks.

The new platform uses independent copies of organisational data, allowing users to verify its integrity and restore previous versions when required.

Its initial roadmap includes protection for AI-related assets, an API layer based on the Model Context Protocol and an isolated environment for AI training, inference and testing.

Frederik Schouboe, chief visionary officer at Keepit, said: “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.”

The provider is also developing capabilities covering AI agent monitoring, compliance evidence, data provenance and threat rollback.



Share Story:

YOU MIGHT ALSO LIKE


Resilience Rooted in Reality
In this podcast, CIR speaks to CLDigital’s Tejas Katwala about why organisations must move beyond checklist compliance to build living, data driven resilience. He explains how rethinking governance, risk and compliance, breaking down silos and focusing on value streams can create sustainable, real time resilience that is rooted in the way businesses actually operate today.

Building cyber resilience in a complex threat landscape
Cyber threats are evolving faster than ever. This episode explores how organisations can strengthen defences, embed resilience, and navigate regulatory and human challenges in an increasingly complex digital environment.