By use case
For multi-vendor intel ops
Four feeds, four naming schemes, four scores, no joins. One layer that makes them agree.
Neutral layer — we make the output of what you already run work harder.
The problem
More vendors bought more coverage — and another silo
A mature estate often runs several intelligence sources at once. Each brings real coverage, and each brings its own actor names, its own confidence scale, and its own delivery format. Reconciling them is manual work that never finishes, and the reconciliation lives in an analyst’s head rather than in the stack.
The answer is not a fifth opinion. It is a normalisation layer underneath the ones you have.
What answers it
The building blocks that solve it
RST Threat Library
Vendor aliases resolved into one canonical profile, so four names become one actor.
RST Noise Control
Applied across every feed you run — including the ones you already pay for — before the SIEM.
RST Report Hub
Every source’s reporting normalised to the same STIX 2.1 shape, whoever wrote it.
The Babel problem
One actor. More than thirty names.
This is not a hypothetical. It is a single intrusion set as your vendors, CERTs and researchers each chose to label it — and every one of these names appears in reporting somebody in your estate is reading right now.
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Every alias above resolves to a single object in RST Threat Library, linked to the malware, tools and campaigns attributed to it — so a correlation across four vendors’ reporting is a join, not a guess.
Why this has to come from a neutral party. Each provider’s naming scheme is part of its product. None of them has any reason to map their intelligence into a competitor’s vocabulary — so the common language can only be built by someone who is not competing for the same seat. We are not a fifth feed; we are the layer that makes the ones you already pay for join up.
Merging the research
Every vendor’s reporting, one shape
Research arrives as prose — a PDF here, a blog there, a CERT advisory in a language nobody on the night shift reads. RST Report Hub turns all of it into the same structure, so reporting from different houses can finally be compared, merged and queried as one body of knowledge.
STIX 2.1, whoever wrote it
Every report becomes a typed graph — indicators, actors, malware, tools, campaigns, CVEs and the relationships between them.
Two vendors describing the same operation produce two graphs that overlap on the same objects, instead of two documents somebody has to read and reconcile by hand.
Aliases resolved on the way in
Actor and malware names are mapped to their canonical object as the report is processed, not afterwards.
This is what makes cross-vendor correlation safe to automate. Without it, an agent joining on a name string will confidently merge two different actors — or miss that it has met this one before.
The same gate for every source
RST Noise Control validates indicators from any provider — premium subscriptions included — before they reach enforcement.
Expensive does not mean clean: stale C2s and benign CDN infrastructure ship in paid feeds too. A source-agnostic gate is the only kind worth having.
What this is, precisely. We normalise naming and context across the industry’s public reporting, and we deliver our own intelligence in a form your platforms can join on. We do not aggregate, resell or redistribute any provider’s proprietary content — that stays yours, under your contract. The place everything meets is your own TIP or SIEM; our job is to make sure it speaks one language when it gets there.
Keep your vendors. Make them agree.
Whichever platforms you run, this layer sits underneath them. Talk to us about where it fits in your estate.