USE CASE

Bold Security for Financial Services

Explore the product

Real-time data protection for the modern endpoint

Protect your client data, deal materials, and the proprietary models financial work runs 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 financial work.
Financial data gets downloaded, modeled, reworked, and shared there, and that is where exposure becomes real.

A banker emails a confidential deal model to the wrong external recipient.

A private equity associate copies portfolio data into a public AI tool during diligence.

An analyst shares research to a personal account or the wrong tenant.

A deal team keeps client data and financial models in large local spreadsheets.

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 data leaves the institution.

Where Bold fits

Bold runs alongside the security investments you already have and reaches the data risk those tools cannot.

Replace legacy DLP
Regex-based tools have no endpoint context and generate false positives at a volume that forces teams to turn blocking off.
Consolidate insider threat tooling
Behavior, data sensitivity, and the action itself arrive in one view instead of three.
Unify forensic context
Investigation-ready evidence is captured as it happens and stored in your own cloud.
Establish a foundational AI control
Govern how client and financial data is accessed, copied, and shared into AI and productivity tools on the device.

What Bold delivers

Real-time prevention

Accidental exposure, insider misuse, and email misdelivery stop in the moment, not after.

Visibility into data at rest

Local spreadsheets, models, and downloaded deal files are found, classified, and protected locally.

Classification for finserv

No regex means any client PII, financial model, research, deal info, or proprietary IP, is in scope.

On-device analysis

No file content is sent anywhere, and the metadata Bold receives can be masked.

Evidence you control

Evidence is encrypted and stored in your own cloud tenant. Your keys, your access.

Full investigation context

Behavioral history, data interactions, and lineage arrive already attached to the incident.

A light endpoint footprint

Bold's endpoint agent runs small language models at under a third of the footprint of legacy agents.

How Bold works

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

See every deal file and model

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

Know what the file is and why it is moving

Bold’s AI classifies data by meaning and reads the intention behind every action: whether a file is a working deal model or a published research note, where it came from, who is moving it, their role, and their risk profile.

Stop the model before it leaves

Bold acts in real time, redirecting a client list headed for a personal account or blocking a deal model 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 locked-down environments

Even in tightly controlled financial environments, risk still appears at the moment of action:

Sensitive data accessed, downloaded, or shared locally

Approved tools used in ways policy cannot anticipate

New tools adopted before security teams hear about them

Exception users operating with elevated or deviated access

Deal teams and executives working with external counterparties

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 sensitive information at rest and in motion on every device. Control improves without a cost to performance, privacy, or the controls you already run.