Keepit announced AI Truth Cloud, the next evolution of its platform, transforming backup from a compliance requirement into the most trusted, strategically valuable data asset an organisation can hold. As AI agents take on business-critical decisions, AI Truth Cloud positions Keepit as the sovereign source of truth that enterprise AI can safely build on: data that is verifiable, governed, immutable, and proven.
From backup to trusted enterprise operational foundation
Keepit holds something AI vendors cannot replicate: a complete, sovereign, immutable, and tamper-proof copy of an organisation’s data – every version, across the protected application – stored in a vendor-independent cloud that no third party influences. That independence is the foundation of the “truth”: The AI Truth Cloud enables organisations to verify the authenticity, provenance, and integrity of data before it is ingested into any AI system, ensuring that the AI reasoning over their business is reasoning over data they can actually trust.
Enterprise data protection has evolved steadily from tape-based backup to disaster recovery and cyber resilience. With AI Truth Cloud, Keepit establishes the next step: from passive backup to a proactive trust fabric for verified, governed, and sovereign data.
“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,” said Frederik Schouboe, Co-founder and Chief Visionary Officer at Keepit.
A platform built on five pillars
The AI Truth Cloud platform is organised around five pillars: Protect; Observe; Recover; Prove; and Integrate. These replace the backup and recovery story with a complete framework for data trust.
Three core capabilities form the immediate roadmap foundation:
- AI Connector Backup extends Keepit’s proven data protection to the AI tools enterprises already depend on – including agent configurations, AI skills, projects, and models – with point-in-time restore for any AI asset. That same immutable foundation becomes the verified recovery point when an AI agent behaves unexpectedly or is compromised.
- Keepit MCP (Model Context Protocol) platform is designed as a headless API layer that connects Keepit to any AI tool or workflow. It enables AI systems to query, audit, and interact with managed data programmatically. It positions Keepit not as a passive repository, but as an active node in the enterprise trust fabric.
- Keepit AI Safe Room addresses one of enterprise AI’s most pressing risks: running AI models directly on live production data. AI Safe Room provides an immutable Keepit copy of data as a pristine, isolated environment for AI training, inference, and testing, without putting production data at risk. If a model, prompt, or agent produces unintended results, it’s possible to do a full rollback: production remains untouched and recovery is immediate.
Looking ahead, Keepit is developing additional capabilities across all five pillars – including AI agent behavioural monitoring, automated compliance evidence generation, cryptographic data provenance, and AI-powered threat rollback – each extending the platform’s role as the trusted data layer for enterprise AI.
