Real-time data protection for the modern endpoint
Protect PHI, clinical trial data, and the research IP your pipeline depends on.
Bold runs AI on the device to classify data by meaning and stop risky actions before data leaves.
Why the endpoint
In the AI era, more and more work happens directly on the device. Especially clinical and research work.
Patient records get exported, trial data gets downloaded, and research moves between partners, and that is where exposure becomes real.
A clinician exports patient records to a personal drive to finish charting at home.
A researcher pastes trial protocol data into a public AI tool to summarize it.
A scientist leaves for a competitor with compound library files already copied.
A coordinator emails a patient list to the wrong contact at a CRO.

The endpoint is the one layer where data sensitivity, intention, and the action itself come together.
Controlling risk there is what makes prevention possible before an incident becomes a reportable event.
Where Bold fits
Bold runs alongside the security investments you already have and reaches the data risk those tools cannot.

What Bold delivers
Accidental exposure, insider misuse, and email misdelivery stop at the moment of action, not after.
Exported patient records, downloaded trial files, and local research copies are found, classified, and protected where they sit.
PHI, trial protocols, formulation data, genomic research, and compound libraries, classified by meaning, not pattern matching.
No file content is sent anywhere, so PHI is never exposed to a third-party cloud in order to be classified.
Bold distinguishes a corporate account from a personal one inside the same approved AI tool, on the desktop.
Behavioral history, data interaction detail, and lineage arrive already attached to the incident.
Evidence is encrypted and stored in your own cloud tenant. Your keys, your access.

How Bold works
Bold runs AI locally to understand data, analyze intention, and prevent risk in real time.

See every record and research file
Bold lives on the endpoint and sees everything: every channel, every app, every patient record, every research workflow. No API gaps, no blind spots, including the desktop apps network tools cannot see.

Know what data is and why it moves
Bold’s AI classifies data by meaning and reads the intention behind every action: whether a file is an active trial protocol or a published paper, where it came from, who is moving it, their role, and their risk profile.

Stop the export before it leaves
Bold acts in real time, redirecting patient records headed for a personal drive or blocking trial data on its way to an unmanaged AI tool. Most risk is stopped before it ever becomes an alert to triage.

Investigate without rebuilding the story
When something does need review, Bold has the full picture: what the data was, who moved it, where it went. Investigations that took days close in minutes.
Built for regulated environments
Even in tightly controlled clinical environments, risk still appears at the moment of action:
Research shared with CROs, partners, and outside counsel
Approved tools used in ways policy cannot anticipate
New AI tools adopted before security teams hear about them
Clinicians and researchers working with elevated access
Patient records accessed, exported, or shared locally
Misaddressed emails sent under time pressure
The outcome
Bold prevents the most common and most consequential forms of exposure at the moment they happen, gives insider risk investigations the data context they have been missing, and protects PHI and research IP at rest and in motion on every device. Control improves without a cost to performance, privacy, or the controls you already run.
One platform, three use cases

Endpoint DLP

AI Usage Control



