Cyber Security That Predicts, Not Just Reports

Security tooling is very good at telling you what already happened. 4sight is built for the question in front of it — what is likely to be attempted against an organisation like yours, whether it would reach anything that matters, and what it would cost if it did.

What the product does

4sight combines three things most enterprises buy separately: threat intelligence tuned to your sector and geography, continuous attack surface and exposure measurement, and FAIR-based quantification of what a successful event would cost.

Kept apart, each is a partial answer. Threat intelligence without exposure data produces alarm without direction. Exposure data without threat context produces an unrankable list. Neither produces a number a board can act on.

Joined, they answer the actual question: which exposures a plausible adversary can reach, and what that is worth in money — which is the only form in which security spend can be argued against every other capital request.

Why enterprises run it

Threat context that is yours

Campaign and actor activity filtered to your sector, geography and technology footprint, rather than a global feed you have to triage yourself.

Exposure measured continuously

External attack surface, cloud misconfiguration and unmanaged assets are re-measured as the estate changes, not sampled at audit time.

Reachability, not just presence

A vulnerability on an isolated system and the same vulnerability on an internet-facing service are not the same finding, and are not ranked as if they were.

A number the board can use

Exposure is expressed as probable financial loss against named business services, so security becomes comparable to every other risk the board governs.

How it works

01

Model the estate

TrustCore resolves assets, identities and internet-facing surface into one inventory mapped to the business services they support.

02

Predict the threat

AI models weight adversary activity, campaign patterns and sector targeting to produce a forward view of what is likely to be attempted, rather than a retrospective of what was.

03

Test the path

Exposures are assessed for whether a plausible attack path actually reaches a material service, which is what separates a finding from a risk.

04

Quantify the consequence

FAIR modelling converts surviving scenarios into loss distributions, so remediation can be sequenced by avoided loss instead of by severity label.

Frequently asked questions

Is this a replacement for our EDR or SIEM?

No. Those tools detect and respond to what is happening on the estate. 4sight is a forward-looking exposure and risk layer that consumes their output; it does not compete with them.

Where does the threat intelligence come from?

A blend of commercial, open and telemetry-derived sources, weighted by relevance to your sector, geography and technology stack. The weighting is inspectable — you can see why something was ranked as relevant to you.

How accurate can a predictive model be about cyber attacks?

It is a probability model, not a prophecy, and it is presented as one. Outputs are ranges with stated confidence. The value is in ranking and sequencing decisions better than severity labels do, not in claiming certainty nobody has.

Does this need a full deployment before it produces anything?

No. External attack surface and sector threat context can be produced from outside-in data early, and the quantification layer deepens as internal telemetry is connected.

Know your cyber risk before it becomes a business crisis.

See how 4sight on TrustCore turns cyber security into a number your board can act on. Or start with a free self-serve assessment — no sales conversation required.