Oblivious
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.
Share Sensitive Data Across Teams
Financial institutions use Oblivious to analyse customer and transaction data across business units and organisations without exposing raw records or widening GDPR scope.
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Securely Migrate to the Cloud
Engineering and data teams use Oblivious to migrate high-risk workloads to the cloud, protecting data during processing.
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Control Third-Party Data Access
Businesses allow vendors and SaaS providers to process sensitive data without direct access to raw records or systems.
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Preserve Insight After Data Deletion
Organisations retain long-term analytical value to inform decision-making without keeping personal records beyond retention limits.
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Collaborate Across Borders
Global teams work on real datasets without accessing identifiable data, staying compliant with cross-border access restrictions.
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Reduce PCI Compliance Scope
Financial institutions detokenise card data only inside hardware-secured environments, keeping the rest of the stack token-only and audit-ready.
Accelerate Decision-Making
Global financial institutions replace production data with privacy-safe synthetic datasets, enabling faster testing, integration, and validation without compliance delays.
Close the Data-In-Use Security Gap
Banks process card, customer, and transaction data inside isolated, attested environments, protecting data even in memory and aligning with emerging requirements under PCI DSS 4.0, DORA, and NIS2.
Use Real Data to Build Better Products
Product and analytics teams explore customer behaviour using sensitive data to inform features, pricing, and experimentation without exposing raw records.
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Protect Proprietary Systems in Shared Environments
Organisations run sensitive models and internal systems in isolated environments, keeping proprietary logic inaccessible to operators, partners, or cloud providers.
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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.
Security that doesn’t disrupt delivery
Deploy privacy-first security directly into existing analytics, AI, and data pipelines. No rewrites, no retraining, no parallel infrastructure.
Collaboration without data exposure
Share insights across teams, partners, or regulators without sharing raw data. Maintain control while enabling analysis that would otherwise be blocked.
Compliance built into the architecture
Reduce audit scope and manual controls by enforcing security at the point of data use. Continuous, verifiable protection replaces policy-heavy processes.
Lower operational cost, maximised protection
Collapse duplicated environments, reduce security tooling sprawl, and shorten compliance cycles. Security improves while complexity drops.
Protection where risk actually exists
Secure sensitive data while it’s being processed, not just stored or transmitted. Prevent insider access and exposure in memory, even in shared cloud environments.
Faster decisions from real data
Enable analytics and AI on data that was previously off-limits. Teams move faster because they can actually use the data they already have.
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.
Eyes-Off Data Summit
The Eyes-Off Data Summit is an annual conference organised by Oblivious, bringing together industry leaders, technologists, regulators, and policymakers in privacy-enhancing technologies. The event aims to drive innovation, engagement and practical knowledge, focusing on deployments, real-world governance, and how to build privacy-first data and AI systems at scale.
Explore Our Blog
Apr 9, 2026
Advancing Privacy Through Testing: Insights from the First PET Arena CTF \
Co-hosted by Oblivious and TikTok, PET Arena brought together nearly 100 researchers and over 5,900 submissions to test privacy systems.](/content/blog/advancing-privacy-through-testing-insights-from-the-first-pet-arena-ctf/index.html)
Mar 19, 2026
Connected Cars, Hidden Data: How Could We Rebuild Trust on the Road?
Automotive industry generates vast personal data while governance lags; privacy-enhancing technologies can restore accountability.](/content/blog/connected-cars-hidden-data-how-could-we-rebuild-trust-on-the-road/index.html)
Mar 10, 2026
Confidential Computing Across Clouds: Why Multi-Cloud Just Got a Lot More Private
Learn how cross-cloud attestation and confidential computing protect data across cloud providers.](/content/blog/confidential-computing-across-clouds-why-multi-cloud-just-got-a-lot-more-private/index.html)
Oblivious Privacy Intelligence
Each week we cover one topic in data privacy and security, pulling together research, real incidents, expert analysis, and compliance implications in one place. No spam. No vendor spin. Just the things worth knowing. Receive it first, straight into your inbox.
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May 5, 2026
Did You Actually Consent to Any of This?](/content/newsletters/did-you-actually-consent-to-any-of-this/index.html)