Turn Sensitive Data Into Usable Data.
Run analytics, deploy AI, and move sensitive workloads to the cloud.
Without increasing exposure.
ISO 27001
SOC 2 Type 1
SOC 2 Type 2
Trusted Across Industry, Policy, and Research
Oblivious supports teams across these organisations through commercial deployments, partnerships, and policy or research initiatives.
Security Solutions That Unblock Data Use
Built on the same privacy-enhancing technologies used by Apple, Google, Microsoft, and the US Census Bureau, Oblivious makes them practical for enterprise use.
AGENT
Analyse Sensitive Data Without Exposure
Run analytics and generate insights without exposing individual records. AGENT applies differential privacy directly to analytics workflows, allowing teams to query data and share results with mathematical guarantees that no single person can be identified.
Insights can be shared internally and externally, without restrictive access controls or additional compliance reviews.
OBLV Deploy
Run Sensitive Workloads in the Cloud Without Increased Risk
Deploy applications in hardware-isolated environments where sensitive data remains protected during processing. OBLV Deploy uses secure enclaves to ensure cleartext data is accessible only to verified workloads, even in shared cloud infrastructure.
Teams can run existing pipelines, AI models, and data services without changing source code, eliminating insider access, reducing audit scope, and replacing manual controls with continuous, cryptographic proof.
What Changes When Organisations Use Oblivious
Oblivious is already deployed in regulated industries to make sensitive data usable in production, without expanding risk or operational overhead.
Built For Teams That Want To Use Sensitive Data
As regulations tighten and data volumes grow, organisations that can safely use sensitive data gain a clear competitive advantage. Oblivious enables them to do so.
Protecting Data Where Traditional Security Fails
Explore the technologies behind this approach below.
Most security controls protect data at rest or in transit. The moment data is analysed, queried, or processed, those controls fall away, and risk accumulates inside analytics pipelines, AI systems, and production workloads.
Oblivious addresses this gap. By combining trusted frameworks with innovative strategies, we secure data during processing, allowing organisations to analyse sensitive data, deploy AI, and collaborate across systems.
The result is simpler audits, fewer blockers for engineering teams, and sensitive data that can finally be used where it creates value.
