Advanced Filtering
Block malicious domains and enforce content policy in real-time, before anything executes.
Learn more
Threat Intelligence
Most threat intelligence tells you about an attack after somebody else was hit by it, because an indicator only reaches a commercial feed once an attack using it has been observed and confirmed. This suite is built on DNSFilter's own resolver data, one of the largest real-time DNS datasets on the market, so emerging malicious infrastructure surfaces while it is still being stood up. It reaches you through an AI-native architecture, to help refine the workflows and response times of your machine-scale defenders, or a queryable dashboard, depending on your requirements.
A single malware family can generate hundreds of thousands of unique domains, which is why a list of known bad domains is stale before you finish ingesting it. We track the generation patterns behind those domains rather than the domains themselves, so the infrastructure is known while the threat actor is still building it.
Mid-investigation during incident response, your SOC needs to know whether a domain, IP, or URL is malicious, when it was first seen, and what else is associated with it. Real-time classification and threat context arrive inside the workflow the analyst is already in, so the decision does not wait on a vendor ticket or a feed update.
When a breach notification drops or an advisory publishes thousands of indicators, you need answers ASAP, which is where we come in. DNSFilter Threat Intelligence gives you classification, timeline, and summary context across domains, URLs, and IPs you query.
Detect, classify, prove, deliver
Query an observable one at a time or as a full list, and get back its classification, first-seen date, and related infrastructure. Classification happens at the resolver as the domain is queried, so records exist for infrastructure no feed has published yet.
The DNS-First Intelligence Engine flags newly stood-up infrastructure, lookalike domains built through typosquatting, homoglyph, and IDN spoofing, and the generation patterns behind algorithmically generated domains.
Every verdict includes the signals that produced it, so an analyst can act on it and defend the call to a client or an auditor.
An API into your SIEM, your SOAR, and your own automation, plus open, AI-native MCP architecture for copilots and agentic workflows. Nothing new to watch, nothing to deploy to an endpoint, and no requirement to adopt our AI to get our data.
Standalone or attached to Advanced Filtering: No agent, no migration, and no change to the tools your team already runs.
Triage an indicator in the middle of an incident without waiting on a vendor ticket, and answer “were we exposed” in minutes rather than days. The intelligence enriches what you already run, so you do not migrate to get it.
One intelligence layer across client estates that look nothing like each other, rather than per-client tooling. The same classification that drives enforcement is the classification you can point at in a client conversation.
Training a security model, or an agent that works with the web? Talk to us about what our DNS data could add.
The fastest way to judge threat intelligence is to look at what it caught that your existing stack did not. Bring us a recent incident, or a domain you are unsure about, and we will show you what our data says about it.
FIND OUT MORE
Read the answers to the most frequently asked questions. Want to know more? Visit our help desk.
First-party intelligence is generated from the vendor's own observation of traffic rather than licensed from an aggregator. Ours comes from DNSFilter's own resolvers: We protect over 100 million end users and scan 3 million domains a second, and the classification that produces those decisions is the same signal layer this suite exposes to you.
A feed distributes indicators after an attack using them has been observed somewhere, which means the first organizations to encounter a domain were the evidence. Because our classification happens at the resolver, at the moment a domain is queried, we see infrastructure while it is still being stood up and as it changes form. Our intelligence is also incredibly dynamic, as categorizations change, we update our intelligence.
Security operations, incident response and wider security teams. It's useful when you need context on an indicator mid-investigation, or want to know what we've seen elsewhere.
No, and it is not designed to. It gives both of them earlier and better domain context. The delivery layer exists so the intelligence lands inside those tools rather than in another console you have to watch.
Through open, AI-native MCP architecture, plus direct lookup and ingest against the Domain Database for enrichment inside your own systems. You do not have to use our AI to get our data; it works inside the automation and models you already chose.
No. This suite can be purchased as a standalone product or with other LUMINATE by DNSFilter™ product suites. Teams that intend to keep the stack they have can consume the intelligence on its own, and teams already filtering with us get it from the same engine that is already making their enforcement decisions.
Protection and policy controls act on your own traffic. Threat Intelligence shows you what we've seen more widely. It sits alongside both the rest of LUMINATE and the tools you already run.
This product suite is still in beta. Talk to us and we'll walk you through what's available today, where it's heading, and how it would fit alongside what you run. https://www.dnsfilter.com/contact
An algorithmically generated domain is one created by a domain generation algorithm, a routine inside malware that produces large numbers of random-looking names so Command and Control infrastructure can move faster than a block list follows. One malware family can generate hundreds of thousands of them. We track the generation patterns rather than the individual domains, so the infrastructure is known while it is still being built.