Security teams do not adopt new tools lightly. Adding something to a stack that is already stretched means justifying the overhead, the learning curve, and the context-switching. I get that. It shapes every integration decision we make at Silent Push.
Before I get excited about any integration, I want to know what changes once we connect it. What does your team actually do differently? What decisions get faster? What gets blocked that would not have been blocked before?
This month, I want to walk through three integrations I am particularly excited about. Each one reflects a deliberate choice about where preemptive threat data needs to land to be useful, and how Indicators of Future Attack (IOFAs)™ fit into the stack you already have rather than sitting outside it.
Splunk SIEM & SOAR
Preemptive signals, straight into your detection layer
Splunk is built to tell you what already happened. Logs come in, correlation rules fire, and an alert shows up. That loop is well understood. The problem is that it all starts after the fact.
So we feed IOFAs straight into Splunk as enrichment data, and your detection rules can fire on infrastructure that is being staged right now, before it reaches your environment.
When an adversary registers a domain and begins configuring it in patterns we recognize, that information lands in Splunk automatically. No manual lookups, no separate console to bounce between. Traffic Origin data also surfaces through the integration. If an IP shows as Irish but upstream traffic is coming from Iran, Splunk sees it. The alert reads “high-risk upstream origin,” not “connection from Ireland.” That changes the decision your team makes.
For teams that want to go even further, the Threat Check API plugs directly into your existing Splunk workflows. When a new domain or IP surfaces in logs, a single API call returns a scored, contextualized verdict backed by the full Context Graph, in milliseconds. It drops in cleanly without requiring a full integration build, which is useful if your team has custom pipelines or scripts already running as part of triage.
Available as a native Splunk app. Enrichment happens automatically on ingest with no additional analyst steps required. Full Threat Check documentation is at help.silentpush.com.
Check out our on-demand webinar below to learn more about powering your SIEM & SOAR with Silent Push data.
Tines
Build preemptive workflows without writing a single line of code
Tines is how a lot of modern security teams automate their work, and we built the integration around how they actually use it. We expose Silent Push’s enriched data from the Context Graph as Tines actions. Anything you can do in Silent Push, you can automate in Tines.
The most common pattern is enrichment on alert triage. When an alert comes in, Tines calls Silent Push automatically to assess the domain or IP involved. If the infrastructure is fingerprinted to a known threat actor, the case routes straight to a senior analyst. If it is low risk, it closes automatically. Either way, your analysts spend their time on the cases that actually need a person.
The more interesting use case is proactive blocking. When Silent Push identifies a new wave of pre-weaponized infrastructure matching a pattern your team cares about, a Tines workflow pushes it to your firewall or WAF automatically. The infrastructure is blocked before it is ever used against you. No ticket, no manual step, no window for it to slip through.
Teams building custom Tines stories also use the Threat Check API as a lightweight enrichment call at the start of any workflow, where speed matters and you want a verdict before routing. The lead time data speaks for itself: across our customer base, Threat Check shows an average of 154 days between when we identify infrastructure and when it appears in other feeds. The median is 117 days. For sophisticated threat actors, that number has exceeded 300 days. That is real time to act, not a rounding error.
Pre-built Tines story templates are available in our help documentation. A working enrichment workflow can be up and running in under an hour.
ServiceNow
Context Graph intelligence inside your incident workflow
ServiceNow is where a lot of security work actually lives. Tickets, incidents, change management, etc. It is often the system of record for what a team worked on and why. The challenge is that by the time something becomes a ServiceNow ticket, the context around the threat has often been lost or buried elsewhere.
So when a ticket is created for a suspicious domain or IP, the Context Graph data attaches to it automatically. That starts with a risk score built from over 100 technical attributes across DNS, WHOIS, certificates, and web content. It also pulls in related adversary campaigns and known threat actor associations from our global dataset, any IOFA patterns we have published that match the infrastructure, and the connected infrastructure from the same campaign. IR teams get the full picture without pivoting to another tool.
The analyst working the ticket already has what they need, so the investigation moves faster.
Available through the ServiceNow Store. Configurable field mapping means it works with your existing incident schema. Learn more here.
What is the detection gap?
The detection gap is the time between when an adversary gains access to an environment and when your security tools would traditionally alert you to it. Most tools only surface a threat after it has made contact with your environment. That means by the time you know about it, you are already behind. Building a preemptive program is about closing that gap before the alert fires, not after.
How are IOFAs different from IOCs?
IOCs are objects of the past. They are things that already happened that you can use to go hunting and see if you observed similar activity. IOFAs are almost the reverse of that. Instead of starting from a known-bad indicator, we identify the patterns that come with the creation and management of adversary infrastructure, so we can surface it while it is still being staged. IOFAs give you something to act on before the campaign launches, not after the first user clicks.
What does Traffic Origin actually tell me?
Traffic Origin tells you where someone is physically located when they use a given IP address. Standard GeoIP only shows you where the IP is registered, which is the last visible hop. If someone is routing through a residential proxy, their traffic looks like it is coming from wherever that proxy is located. Traffic Origin looks past that and gives you details on the actual upstream origin of the connection. That is the context you need to make a real risk decision on a login, an application, or a transaction.
Can I integrate this with my SOAR?
Yes. The whole platform is API-first and built on top of APIs that are all available to customers. There is nothing we can do in the platform that you cannot automate in your own environment. We have native integrations, Splunk apps, and pre-built playbooks for common stacks. If you are building something custom, the full API gives you direct access to IOFA feeds, Traffic Origin data, and DNS enrichment without going through an intermediary layer.
How does Silent Push find phishing sites before they send any emails?
We are continuously collecting data across DNS and our web scan content. As we collect that, we can identify active infrastructure as it is being spun up and as it moves across different providers. We are looking for the patterns that come with adversary staging activity, not just known-bad domains. That means we can add a site to an IOFA feed on the day it is registered, before it has ever been used to send a phishing email or harvest credentials.
What about AI-generated phishing pages?
We are seeing more of those. The pages themselves are more convincing now, but they still need real infrastructure behind them. They still get registered, hosted, and managed, and that process leaves the same kind of patterns we are tracking. We are not evaluating the visual quality of the page. We are looking at how the infrastructure was created and how it is being managed. That holds regardless of how the page itself was generated.
If you want to see how any of these integrations would work in your own environment, our team will walk you through it.
