State of The Market Webinar
Inside the 2026 State of Data Protection in Pharma Report
Recorded Webinar
Pharmaceutical companies are built on their Data Package — the compound IP, clinical trial data, and regulatory evidence that represents everything a sponsor has built toward approval. Protecting it used to mean securing the environment it lived in. That's no longer sufficient.
Today, sensitive data moves through a chain of CROs, central labs, imaging vendors, and partners before it ever reaches a regulator. At every handoff, the sponsor's governance stays behind. The chain of custody breaks at the door — and most organizations have no mechanism to prove what happened to their data after it left. And now, AI adoption has added a new link to that chain that no one fully governs.
This session explores the findings of Confidencial's 2026 State of Data Protection in Pharma & Life Sciences — a proprietary analysis of 199 of the world's leading pharmaceutical, biotech, and clinical research organizations, scored across eight dimensions of data protection exposure, using exclusively open-source data.
We'll examine where the chain of custody breaks down, what third-party exposure actually looks like across the cohort, and how AI adoption is affecting an IP protection problem that was already hard to solve.
Join us to unpack the findings, benchmark your organization against the cohort, and explore what it takes to govern sensitive data throughout the entire chain.
Encryption Innovation Award Winner
CyberSecurity Breakthrough, an independent market intelligence organization that annually recognizes the most innovative companies and technologies in global information security, has named Confidencial.io winner of the "Encryption Innovation Award" in its 9th annual CyberSecurity Breakthrough Awards program.
Confidencial delivers selective, document format-preserving encryption that protects only the sensitive content inside a file — PII, IP, health data, and other crown jewels — without locking down the entire document. File structure stays intact, access controls and audit logs travel with the data, and the platform integrates across existing systems through open APIs.
Confidencial also closes a critical AI security gap: discovering and encrypting sensitive unstructured data before it reaches internal or external AI tools.
