USE CASE

Bold Security for Insurance Orgs

Explore the product

Real-time data protection for the modern endpoint

Protect policyholder data, actuarial models, and the underwriting methodology your advantage 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 underwriting and claims work.
Claims files get downloaded, models get reworked, and books of business move between partners, and that is where exposure becomes real.

An underwriter pastes pricing logic into a public AI tool to sanity-check it.

An adjuster downloads a book of claims files to work through offline.

A broker emails a policyholder list to the wrong contact at an MGA.

An actuary leaves for a competitor with pricing models already copied.

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.

Replace legacy DLP
Regex-based tools catch policy and claim numbers and miss actuarial models, underwriting playbooks, and aggregated books of business. False positives at that volume force 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 policyholder data and proprietary models are 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 at the moment of action, not after.

Visibility into data at rest

Downloaded claims files, local model copies, and exported books of business are found, classified, and protected where they sit.

Classification for insurance

Policyholder records, claims files, actuarial models, underwriting methodology, and reinsurance structures, classified by meaning, not pattern matching.

On-device analysis

No file content is sent anywhere, so regulated policyholder data is never exposed to a third-party cloud in order to be classified.

Evidence you control

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

Full investigation context

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

Personal vs. corporate accounts

Bold distinguishes a corporate account from a personal one inside the same approved AI tool, on the desktop.

How Bold works

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

See every claims file and model

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

Know what the file is and why it's moving

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

Stop the book of business before it leaves

Bold acts in real time, redirecting a policyholder list headed for a personal account or blocking a book of business 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 insurance environments

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

Policyholder and claims data accessed or shared locally

Approved tools used in ways policy cannot anticipate

New AI tools adopted before security teams hear about them

Exception users operating with elevated or deviated access

Underwriters and adjusters working with external partners

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 policyholder data and proprietary risk intelligence at rest and in motion on every device. Control improves without a cost to performance, privacy, or the controls you already run.