Every Feed You Pay For, Finally Working for You Specifically
Threat intelligence is data about adversaries, their infrastructure, and their tactics, collected and structured so security teams can act before an attack lands. Anomali fuses that intelligence into every event at ingest and scores it against your own entity, asset, and exposure inventory, so a globally informed feed becomes a short, relevant list instead of another queue to triage.
Key Takeaways
A CTI analyst spends most of the day triaging thousands of indicators with no reliable way to know which ones touch their environment
Intelligence that goes stale the moment it’s dismissed has no way to reopen itself when new context arrives, unless something is watching
Anomali scores every indicator against your own environment as a property of the data, not a lookup step
Why This Is Different
Threat intelligence isn’t bolted onto the data after the fact, it’s fused in as the data lands, so context arrives with the event instead of requiring a separate lookup. And every source normalizes to one schema (OCSF), which means a detection built against one indicator type works the same way against every other source feeding the platform, instead of being rebuilt per integration.
Threat Intelligence Use Cases
Telemetry-backed re-matching
Pain: Intelligence alone can say an indicator is bad. It can’t say whether that indicator ever touched your environment, and that gap is where real exposure hides.
Today: Manual, retroactive log searches whenever new intel arrives, if it happens at all, since most teams can’t re-run searches for every new IOC.
With Anomali: New intel matches automatically against your own ingested endpoint, identity, and email activity, surfacing prior exposure the SIEM never alerted on.
BEC and phishing campaign tracking
Pain: BEC and phishing campaigns often target specific people repeatedly. Knowing who’s likely targeted next means getting ahead of it instead of reacting after a click.
Today: Reacting to reported phishing one email at a time, with no forward-looking view of the next likely target.
With Anomali: Inbound campaigns link to known actor infrastructure, and likely internal targets get pre-warned before they’re hit.
Proof
“The time it takes to analyze a threat has gone down from 30 minutes to just a few minutes, time that adds up over the course of investigating many malicious IPs every week.”
- Arindam Bose, SVP and Security Officer, Bank of Hope
FAQ
What named frameworks does Anomali map to for the Threat Intelligence use case?
Every indicator maps to MITRE ATT&CK and normalizes through STIX/TAXII for interoperability, so intelligence is portable in the vocabulary your whole security organization already uses.
What’s the actual difference between a threat feed and what Anomali does with intelligence?
A feed delivers raw indicators with no view into your environment. Anomali scores every indicator against your own asset, entity, and exposure inventory the moment it arrives, so relevance is established at ingest, not during a manual lookup.
Does this replace our existing TIP?
Not on day one. Anomali augments the TIP process you already have and typically becomes the evolution for your security operations workflow. Full replacement is available for organizations that want it once value is demonstrated.
How does re-prioritization work if an indicator was dismissed months ago?
Your alert and IOC-hit history stays available for automatic re-matching. When new intelligence ties a dismissed indicator to an active campaign, it resurfaces on its own instead of waiting for an analyst to remember to check.
Can we see our own detection coverage against MITRE ATT&CK?
Yes. Coverage is generated in your own threat-model terms from your actual detection inventory, not a generic industry benchmark.
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