Read the report, cluster the infra, draft the brief

Intel work is reading things that look like crime, because they are. A model that will not summarise a leak, a ransomware note or a forum post is not an intel tool.

CTI teams in enterprises, ISACs, and consultancies that already handle this material under their own classification rules.

Why the mainstream APIs fail here

Source documents trip the same filters as criminal how-tos. The model stops, the extraction is partial, and the analyst does the clustering by hand. You already have the source. You need it structured.

How Redline is used for this

Feed reports, notes and IOC lists. Ask for TTP mapping, overlap with last month, and a brief your CISO will actually read. The source text is not retained on Redline. The cost of the run is.

A working loop

  1. Drop the source into the prompt, not into a vendor that trains on it.
  2. Ask for overlap, not for a new attack.
  3. Keep a key per collection so you can see which source is expensive.

Prompts are not stored. A signed receipt of the hash comes back on every call, so you can prove later what Redline logged. Details are on the privacy page. Per-model prices are on /models and the pricing model is on /pricing.

Related

AI for SOC analystsA capped, OpenAI-compatible endpoint for SOC triage: alerts, malware notes and hunt queries, on models that do not refuse security content. AI for purple team exercisesRun purple team exercises with models that will write both the attack step and the detection, under a hard spend cap. AI for incident responseIncident response assistants on uncensored models: timelines, malware notes, comms drafts. Prompts are not stored. AI for detection engineeringDetection engineering with models that will produce both the offensive example and the query, billed to a capped key.

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