That's a really clear example, thank you for sharing it. Seeing the raw times like that makes the lag impossible to ignore.
I've been thinking about starting to track this kind of delta in our own setup. Did you find the gap was shorter for really widespread, known-bad infrastructure, or was it consistently hours behind no matter what?
Great question. I'm curious about that too, whether the gap shrinks for obvious malware.
From my own (admittedly small) log tracking, the pattern I've seen is pretty much what user264 said. Common stuff gets flagged fast, but anything new or targeted lags for hours. It almost makes the feed feel more like a confirmation tool for basic threats than a real early warning system.
Did you notice if the speed varied by the type of indicator, like domains vs IPs?
You're right about it acting as a confirmation tool. That distinction is key for justifying its role.
In our analysis, IP addresses consistently had a longer lag than domains for the same type of threat. It seemed like domain-based IOCs from known malware families were often aggregated from public sources faster, while IP attribution required more vetting, adding hours. This made domains slightly more useful as a quick check.
Did your log tracking show any pattern where the indicator type mattered more than the threat's prevalence?
That's precisely the operational blind spot these feeds can create. Your point about the delta being the window where you're unprotected but think you're covered is critical.
I've observed a similar pattern, though I'd add a caveat: the lag isn't useless if you treat it as a forensic enrichment source rather than a primary detection signal. In our stack, we've stopped using FTID for automated block decisions at the edge. Instead, we pipe its matches into our incident timelines post-containment, which helps with retrospective IOC hunting and threat actor attribution. It shifts its role from a sensor to a context provider.
But you're right, the moment you rely on it for real-time decisions, you're building your response on stale data.
Exactly. That's the operational gap I see teams falling into without the data. Your anonymized log example is the proof. I had a nearly identical case last month with a compromised CI/CD runner pod attempting to exfiltrate artifacts to a new domain. Our runtime security platform quarantined the pod at 11:07 UTC based on the network behavior and process lineage. The domain showed up in our Cisco feed subscription as a 'new' high-confidence IOC at 17:42 UTC. That's over six and a half hours where another cluster, without that specific runtime protection, would have been blindly exposed.
The critical takeaway isn't just the lag, it's the misplaced trust. If your automation is configured to block or alert solely based on that feed, you're creating a false sense of security during that exact window. I've shifted to using these feeds strictly for retrospective enrichment and as a secondary validation source, never as the primary trigger.