Automate Threat Intel Feed Alert Deduplication
Running multiple threat intelligence feeds for broader coverage means the same indicator of compromise — a malicious IP, a phishing domain, a malware hash — routinely gets reported by three or four feeds within hours of each other, each generating its own separate alert with its own ticket, because the feeds don't know about each other and the SIEM correlates by rule, not by underlying indicator identity across sources. Analysts end up processing the same IOC repeatedly under different ticket numbers, confidence signals from multiple corroborating sources go unrecognized because nobody's connecting the separate alerts, and feed volume grows faster than the value of the actual coverage it adds.
STARTING PRICE
From €299
Standard tier · Multi-step workflow with AI extraction/decisioning and 2-3 integrations.
Get a quote →Saves roughly 4-7 hrs/week of duplicate threat alert processing across feeds.
How the automation works
We correlate incoming alerts across all connected threat intel feeds by the underlying indicator — IP, domain, hash, or pattern — rather than treating each feed's alert as independent, merging corroborating reports from multiple sources into a single finding with the combined confidence and context attached, so an IOC reported by three separate feeds is visibly more credible than one reported by a single lower-reliability source. Each merged finding is checked against your environment for actual relevance — has this IOC been seen touching your infrastructure — before it's escalated, since a globally-reported indicator with zero relevance to your environment doesn't need the same urgency as one that's actually shown up in your logs. Nothing about blocking or containment is automated here; the output is a single, enriched, deduplicated finding routed to an analyst instead of the same underlying threat generating a scattered handful of redundant tickets.
Process flow
- 01
Alert received from any connected feed trigger
Alerts from every connected threat intelligence feed and internal detection source enter the correlation pipeline as they arrive.
- 02
Correlate by underlying indicator ai
Each alert is matched to others reporting the same underlying indicator — IP, domain, hash, or behavioral pattern — across all sources, not matched by feed-specific ticket or rule identity.
- 03
Merge into single finding with combined confidence ai
Corroborating alerts for the same indicator are merged into one finding, with source count and combined confidence attached, so multi-source corroboration is visible rather than buried across separate tickets.
- 04
Check relevance against internal environment integration
Each merged finding is checked against internal logs and asset data for whether the indicator has actually touched your environment, distinguishing globally-reported noise from an indicator with real local relevance.
- 05
Route relevant findings to analyst output
Findings with confirmed or plausible environment relevance route to an analyst as a single enriched ticket; nothing is auto-blocked or auto-contained based on the merged finding alone.
- 06
Report deduplication and feed value metrics output
Volume of raw alerts versus deduplicated findings, and which feeds most often corroborate versus duplicate each other, is reported to help evaluate ongoing feed subscription value.
Inputs
- Threat intelligence feed alert streams (multiple sources)
- Internal log and asset data for relevance matching
- Feed reliability/confidence weighting
- Prior correlated finding history
Outputs
- Deduplicated, multi-source-enriched findings
- Environment-relevance-scored analyst queue
- Feed corroboration and noise metrics
- Correlated indicator history log
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- Correlating alerts on indicator value alone without normalizing indicator format across feeds — a domain reported with and without a trailing dot, an IP reported with and without CIDR notation — will fail to match genuinely identical indicators and undercount corroboration, so normalization needs to happen before matching, not be assumed.
- An indicator reported by many feeds isn't automatically more relevant to your environment — broad, widely-shared IOC lists include a lot of infrastructure that's globally flagged but has never touched your specific systems, so environment-relevance checking matters as much as source-count confidence, or analysts end up chasing high-corroboration findings that are locally meaningless.
- Merging alerts into a single finding can obscure genuinely distinct events if the underlying matching is too loose — two different attack campaigns that happen to reuse the same infrastructure at different times shouldn't be silently collapsed into one finding that understates the actual scope of activity.
- Feed reliability varies significantly, and treating every feed as an equally weighted vote toward confidence lets a low-quality or stale feed inflate the apparent corroboration on a finding — reliability weighting per feed, reviewed periodically, keeps the combined confidence score meaningful rather than just a raw source count.
Frequently asked questions
Does this block or contain threats automatically based on merged findings?
No — the output is a single, enriched, deduplicated finding routed to an analyst. Any blocking or containment action is a human decision made from that finding, not an automated response.
How is this different from SIEM correlation rules we already have?
Standard SIEM correlation typically matches within a rule set on one data source; this specifically correlates the same underlying indicator across multiple independent threat intel feeds that don't otherwise know about each other, which SIEM rule correlation alone usually doesn't cover.
Does more feeds reporting an indicator always mean higher priority?
Not by itself — corroboration across feeds increases confidence the indicator is real, but priority also depends on whether it's actually relevant to your environment, which is checked separately against your own logs and assets.
Can this reduce the number of threat intel feed subscriptions we need?
Indirectly — by reporting which feeds most often just duplicate each other's IOCs versus which contribute genuinely unique findings, it gives you the data to evaluate whether every current subscription is adding real coverage.