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I spend a lot of my time in SOAR consoles with security teams, and the same pattern shows up almost every time. The automation is already there. Playbooks fire, tickets open, enrichment runs. However, the decisions underneath are still shaky. Automation moves fast; it doesn't move smart on its own. A playbook that auto-routes a case is only as good as the context it routes on.
That's the gap GreyNoise fills. We don't replace your SOAR or your SIEM, we feed them. We tell your playbooks what not to worry about so the team can spend its hours on the activity that's actually aimed at them. Here are the five integrations I walk through in nearly every deployment.
1. IP enrichment that makes triage and response times faster
This is where almost everyone starts, and for good reason. Most SOCs still have analysts manually looking up IPs to determine whether an alert matters. The process is slow, repetitive, and often leads to inconsistent triage decisions.
We drop a /v3/ip lookup into the front of the playbook (single lookups or bulk, up to 10K at a time) so every alert gets enriched automatically with classification, tags, and threat level. Then you build your routing rules on top of that. The enrichment writes straight back to the case so the analyst sees the reasoning, not just the verdict.
The payoff is what teams care about most: faster response times, more consistent triage decisions, and a 40–60% reduction in alert volume once routine internet noise is identified and filtered.
2. Early warning when your vendors' CVEs start getting hit
Individual organizations often don’t see global exploitation spikes targeting their vendors until it’s too late. A surge in scanning or exploitation against a particular vendor's CVE can be an early sign of a zero-day or novel attack, but those patterns are difficult to detect when you're only looking at activity inside your own environment. By the time you hear about it after the vendor publishes an advisory, it may already be too late.
GreyNoise Event Feeds push an alert into SOAR the moment scanning or exploitation activity against your vendors' CVEs spikes. The playbook takes it from there: assess benign versus malicious activity, enrich with CVE and IP context, open a case, create a VM ticket, update blocklists, and notify the team in ChatOps.
The outcome is simple: detect rising exploitation activity days before vendors announce new vulnerabilities, patch and harden before attacks become widespread, and automatically separate real threats from benign scanning activity.
3. Detect compromised edge devices
This one resonates with anyone who's been burned by a compromised firewall or VPN appliance. You can't run EDR on those boxes, so when one gets popped and starts scanning the internet or calling home to attacker-controlled C2 infrastructure, you typically don't find out until blacklisted or it’s reported by an external party.
We run two feeds into the SOAR for this. First, a webhook fires when GreyNoise observes your IP ranges conducting unsolicited scanning, a strong signal something behind that address is compromised. Second, a callback IP feed alerts whenever we detect a new attacker callback destination, which the SOAR correlates against your outbound traffic. Either one triggers automatic case creation and a containment ticket. That means catching compromise before it leads to reputation damage, responding automatically in seconds, and keeping persistent issues tied together in a single case timeline.
4. Build high-trust blocklists
Every team wants to automate blocklist updates. Almost none of them fully trust the automation, because the nightmare scenario is auto-blocking a business-critical IP and taking down a legitimate service during business hours.
The fix is a validation step. Before an IP gets added to the blocklist, the playbook checks it against GreyNoise business services intelligence. If the IP is tied to a known business service, it routes to a human for manual review. If it's not, the block proceeds automatically. You get fast response to likely-malicious IPs without the over-blocking risk that keeps people from turning automation on in the first place.
The result is greater confidence in automated blocklist updates, reduced over-blocking risk, and faster response to likely malicious IPs. When I show this to a hesitant team, it's usually the thing that unblocks their whole automation roadmap.
5. Build valuable threat intelligence into agentic workflows
Most of the teams I work with are building agentic workflows now, and they keep running into the same wall: an agent is only as good as the context it can reach. Point it at incomplete or low-confidence data and you get confident-sounding nonsense.
GreyNoise plugs into those workflows through APIs, skills, or MCPs, so an agent investigating an alert can pull high-quality threat intelligence directly into its reasoning before it acts. The agent receives a trigger, queries GreyNoise, analyzes the context, and either returns an answer or kicks off a response workflow. This is grounded in observed attacker behavior rather than guesswork.
It's still early days for a lot of these deployments, but the teams seeing the most success are treating threat intelligence as a core input to the agent, not something bolted on afterward. The result is faster, more confident investigation and response grounded in high-quality threat intelligence.
The common thread
Which alerts deserve attention? Which CVEs are actively being exploited? Which IPs are worth blocking? Which signals point to a compromised device?
The reason these workflows work is because they're all built on the same foundation: real observations from across the internet. GreyNoise continuously watches scan and attack activity through our global sensor network, so when a playbook makes a decision, it's based on what an IP is actually doing in the wild, not just what it happened to do in your environment.
That's what gives teams the confidence to automate. Route an alert. Open a case. Block an IP. Escalate an investigation. The decision is backed by observed behavior, not a hunch.
I tell teams all the time that automation isn't the hard part anymore. Most organizations already have playbooks that can move fast. The challenge is making sure they're making the right decisions when they do.
If your SOAR is great at taking action but you're still questioning the inputs behind those actions, these are the first five workflows I'd look at. Explore our SOAR integrations >
Want to see any of these wired up live? Book a demo >
