Why Threat Intelligence Often Fails
The intelligence market stops after two stages. First, observation: the platform collects artefacts and hands over a list of indicators. Second, understanding: context is added to the indicator and a report is written. The third stage, acting, is almost always left to a person.
That is where the problem starts. Threat volume grows thousands of times faster than an analyst can read; the one that matters is lost among the thousands that do not. By the time a leak is noticed, the attack has often already happened — because there is a human between finding it and fixing it.
radar takes on the third stage as well. Detection, correlation and response are one chain: the decision is made at machine speed and the action runs inside the customer's own perimeter, within agreed legal limits.
The intelligence chain: where the industry stops| Stage | Typical XTI / CTI | radar |
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| Observe | Collects artefacts, returns a list of indicators | The same, but the sources are regional |
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| Understand | Adds context to the indicator, writes a report | Context is bound to your assets and your sector |
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| Act | Hands it to a person — reactive, manual | Automatic: IAM, firewall, takedown |
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| State | The event is logged and stays there | A risk is either open or resolved — nothing in between |
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| Correlation | Every module files its own report | Four sources converge into one conclusion |
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Data on its own is cheap — the value is in the overlap
An exposed VPN on its own is a vulnerability. A leaked administrator password on its own is an incident. An attacker active against your sector on its own is a statistic. All three at one organisation inside one week is an imminent breach.
No single module sees that. The customer gets one conclusion rather than four separate reports — and every conclusion arrives with what to do about it.