Threat intelligence platform

Threat intelligence you can check, score by score.

Mirai Cyber gathers intelligence from many sources, scores each threat with fixed, versioned rules instead of an AI model, and ties every finding to graded evidence that an analyst or an auditor can trace.

  • No AI model in the scoring path
  • Sources graded on the Admiralty scale
  • Cloud, on-premises or air-gapped
INTELLIGENCEEVIDENCEGRADEPhishing kit aimed at regional banksA1New command server in a known clusterB2Exploit for a product in your stackA1Unconfirmed report in a news feedD4ACT ON THESE FIRSTTwo A1 items match your stack and your sector.
Illustration, with invented findings: each piece of intelligence with the grade of its evidence, and what to act on first.

Where it hurts today

The problems Mirai Cyber is built for

Scores nobody can reproduce

A score that shifts between model versions cannot be defended in an audit.

Conclusions without evidence

Platforms show the verdict and discard the trail an auditor asks for.

Thousands of unranked alerts

Analysts spend the day on noise while the real threats wait.

Advisories that may not apply

A generic warning does not say whether the affected software is even deployed.

What it does

Everything Mirai Cyber covers

Collectand correlate
Threat Fusion
Takes in intelligence from many sources, correlates and enriches it, and groups raw signals into single attack narratives.
Adversary monitoring
Watches threat actor activity, tactics and frameworks, and builds profiles of adversaries.
Honest corroboration
Sources run by one operator count as one, so repeated channels do not pass as independent confirmation.
Scoreby rule, not by model
Deterministic scoring
Versioned arithmetic with explicit source weights. The same inputs always give the same score.
Evidence ledger
Every finding links to its source material, and every source carries an Admiralty grade from A1 to F6.
Likelihood and loss
Likelihood with a stated time horizon, and an estimate of loss, both computed in code.
Scoring with AI switched off
Scoring and correlation run with no model call at all. Only the written narrative is lost.
Focuson what applies to you
Threat Pulse
Advisories matched to your own technology stack by vendor, product and version, read from your asset inventory.
World map intelligence
Actor activity and victim patterns by sector and geography, to judge whether a campaign applies to you.
A short, ordered list
Duplicates and low-relevance alerts are removed before an analyst sees them.
Reportand prove
Briefs for every audience
Executive, technical and tactical reports that quote the computed values and cite the evidence.
Ask by voice
Ask what matters now, why, and what evidence supports it.
Audit package
Scores, inputs, source grades, model version and date, exported for regulators, insurers and the board.
Native SIEM export
Findings in your SIEM's own format: Splunk, Microsoft Sentinel, Elastic, QRadar and STIX 2.1 among nine formats.

How it works

From first connection to steady state

  1. Collect

    Connectors and news feeds supply a knowledge graph of threat actors and their victims.

  2. Propose

    Agents suggest candidate entities, relationships and attack paths, with evidence and no numbers.

  3. Decide

    Fixed rules compute the scores from graded sources. No model is called.

  4. Explain

    A language model writes the report around those values and cites the evidence.

  5. Deliver

    Findings go to the SIEM, briefs to people, and the audit package to whoever asks.

Inputs are kept and versioned, so any past score can be computed again.

Where it is used

What teams use Mirai Cyber for

Cutting SOC alert noise

A short, ordered list of attack narratives in place of thousands of unranked alerts.

Advisories that match your stack

Whether a vulnerability or campaign affects software you actually run.

Is this campaign about us?

Sector and geography views show whether worldwide threat news applies to you.

Answers for auditors and the board

How a score was reached, with its inputs and evidence, and the same score months later.

Adversary tracking

Threat actors, their tactics and their victims, kept as profiles.

Regulated and sovereign environments

On-premises, air-gapped, or in a region you name.

3,100+
threat actors in the knowledge graph
0
model calls in the scoring path
9
SIEM export formats
98.4%
less alert noise

Figures as published by Mirai Cyber.

Works with

What it connects to

  • Splunk
  • Microsoft Sentinel
  • Elastic
  • IBM QRadar
  • STIX 2.1
  • Your asset inventory: CMDB, cloud tags or an upload

Deployment

Where it runs

  • Managed cloud
  • Single-tenant
  • On-premises
  • Air-gapped

Your data is not used to train shared models.

With Channel Nexus

Talk to someone who knows Mirai Cyber

One call, several technologies

On the booking page you choose Mirai Cyber and any other technology you want to hear about.

A consultant first, the vendor when it helps

A Channel Nexus consultant takes the call and brings in Mirai Cyber's own specialists for the detail.

A time that suits you

You pick the time. If a consultant cannot make it, we propose other times that suit you.