Keepit, a provider of Software as a Service (SaaS) for data protection, has unveiled its AI Truth Cloud, an evolution of its existing platform designed to transform data backup from a compliance obligation into a verifiable, invaluable asset for organisations. As AI becomes integral to business decision-making, Keepit's AI Truth Cloud establishes itself as a reliable foundation from which AI systems can safely operate through verified, managed, and immutable data sets.
Unlike AI vendors, Keepit maintains an independent, comprehensive, and unalterable record of an organisation's data, storing every version across applications in a vendor-agnostic, sovereign cloud. This ensures that data integrity, provenance, and authenticity can be verified before being processed by AI systems, instilling confidence that the decision-making is based on authentic data.
Progressive data protection
The evolution of enterprise data protection has progressed from tape backups to robust disaster recovery solutions. Keepit's AI Truth Cloud enhances this progression by offering a proactive trust framework for data. This framework is designed to ensure data can be governed, verified, and remains sovereign.
This framework is designed to ensure data can be governed, verified, and remains sovereign
Frederik Schouboe, Co-founder and Chief Visionary Officer of Keepit, commented, "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."
Comprehensive trust framework
The AI Truth Cloud is built around five pillars: Protect, Observe, Recover, Prove, and Integrate, offering a comprehensive framework for data trust that replaces traditional backup and recovery narratives. Immediate enhancements include:
- AI Connector Backup: Extends data protection to essential AI tools and assets, allowing for point-in-time restoration.
- Keepit MCP (Model Context Protocol): A headless API layer that allows interaction with managed data, positioning Keepit as an active participant in the enterprise trust ecosystem.
- Keepit AI Safe Room: Offers a secure environment for AI model training and testing, protecting live production data from risks associated with AI operations.
Future developments and integrations
Keepit plans to expand on the five pillars with capabilities like AI agent monitoring
Keepit plans to expand on the five pillars with capabilities like AI agent monitoring, automated compliance evidence, and AI-powered threat rollback. Additionally, deeper integration through partnerships with independent software vendors will enable Keepit's functionalities to be embedded in their products, ensuring trusted data layers in the wider enterprise software landscape.
This strategy supports AI-driven organisational transitions by safeguarding the data AI agents use and generate, marking a new wave of protection requirements. As organisations leverage AI on verified data, clients like Tom Hicks, Senior Manager at Quanta Services, find reassurance in the immutable data foundation provided by Keepit, noting, "Knowing that our AI is working from a verified, immutable source changes the conversation from risk management to competitive advantage."
Market demand and future announcements
Keepit's channel partners are observing similar trends amongst their clientele. Jonny Scott, Head of Cyber Advisory at Phoenix, highlighted, "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."
Details on further capabilities, public announcements, and updates within Keepit's partner programmes are anticipated in forthcoming communications.
Keepit, a SaaS data protection provider, announces 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.
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.
Complete data foundation
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.
Enterprise trust fabric
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.
Building on a growing foundation
AI Truth Cloud is not a change of direction for Keepit, it is the next frontier made possible by Keepit’s growing data foundation. Keepit will continue expanding connector coverage as organisations transition to AI-driven and agentic workflows, with protecting the data AI agents create and consume representing the next wave of protection needs.
Alongside this, Keepit is introducing an ISV partnership strategy enabling software vendors to embed sovereignty, immutability, governance, and trusted AI capabilities directly into their own products through deep integrations with the Keepit platform - establishing Keepit as the underlying trust layer across the enterprise software ecosystem.
For Keepit customers already running AI on a verified data foundation, that shift is not theoretical: “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.
Detailed capability announcements
Keepit's channel partners are seeing the same demand from their own customers. "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
More detailed capability announcements, roadmap milestones, and partner program updates will follow in subsequent releases.
