The conversation around data collaboration is changing. More organisations want to work together, run joint analytics, and unlock insights that sit across silos. But traditional data-sharing models are too risky. They expose sensitive information, create compliance headaches, and force teams into long internal debates about who can see what.
The ARF framework was created to fix this problem.
It gives organisations a structured way to collaborate without trading raw data and without weakening privacy protections.
Our live session broke down how it works in real conditions — not just theory. The full recording is now available on demand. You can watch it by filling out the form on the webinar page.
Watch the ARF framework webinar on demand:
https://www.partisia.com/webinar/arf-framework
Regulators are tightening expectations.
Businesses want more insight from joint datasets.
Security teams want less exposure, not more.
The ARF framework sits at the centre of this tension. It makes collaboration possible without breaking privacy or compliance rules. Instead of moving or copying datasets, each participant keeps control over their own environment while still contributing to shared results.
This approach is becoming a requirement for sectors that handle sensitive information — financial services, public authorities, health, research, and cross-border organisations.
The session explains how ARF breaks a complex collaboration problem into manageable layers. It shows how control is maintained at every step so no participant is forced to reveal raw information.
Centralising data creates new risks: breaches, misuse, unclear governance, and slow approvals. The webinar covers why these models break under scale and why ARF avoids these traps.
Multi-Party Computation (MPC) is a core part of the ARF approach. You’ll see how organisations can compute results together without exposing the underlying inputs.
The session walks through examples of organisations that improved fraud detection, compliance workflows, and cross-border coordination — all without sharing the data itself.
Modern collaboration models must show traceability. The webinar explains how ARF provides clear lines of responsibility and how auditors can review collaboration without seeing private data.
Product and data teams designing new tools or analytics flows
Compliance and risk officers with strict data-handling obligations
Security teams trying to reduce access to sensitive datasets
Public-sector teams looking for cross-authority collaboration models
Organisations planning to work with partners across borders
If the current data-sharing model in your organisation is too slow, too risky, or blocked by privacy concerns, this session will give you a clear alternative.
Søren Eller Thomsen. Cryptographic Engineer, Partisia
Moderator: Sofie Krabbe
They break down the ARF framework in plain language so business teams and technical groups can speak from the same page.
The full webinar is now available as an on-demand session. Fill out the form on the webinar page to get instant access. The recording covers both the strategic “why” and the operational “how,” making it useful for teams planning real deployments.
This webinar is part of our wider series on secure data collaboration, digital identity, compliance, and privacy-preserving computation. Every session is recorded and added to our on-demand library.
You can:
watch past events any time
share them internally for training
use them to align product, compliance, and security teams
Browse the full archive and pick the sessions that match your current roadmap or pain points.
Browse all Partisia webinars on demand
Start with this session, then move through the rest of the archive as you plan your next steps.
Thank you.