SIEM integration
Autonomous SOC investigations on top of Splunk
Conifers CognitiveSOC reads alerts and notable events from Splunk, investigates each one end to end, and writes the verdict, evidence and status back. No migration, no data movement, no added ingest.
About Splunk
A SIEM rich in signal, and in alerts
Splunk is one of the most widely deployed security information and event management (SIEM) platforms. Security teams use it to collect machine data from across the enterprise, run searches in SPL, build correlation rules, and surface notable events in Splunk Enterprise Security. It is the system of record many SOCs run on.
The signal is rich, but so is the volume. Correlation rules and notable events pile up faster than analysts can work them, and every alert still needs an investigation: pull the context, check the indicators, decide whether it is real. That investigative work is exactly what Conifers CognitiveSOC takes on, on top of the Splunk you already run. See the full integration catalog for the rest of your stack.
How it works
How Conifers works with Splunk
Conifers connects to Splunk through a semantic layer. Your logs stay in Splunk, and the agents work the alerts it produces.
Connect, no data movement
Conifers connects to Splunk through its APIs. Your data stays in Splunk, and there is no new ingest to license.
Read the alerts
Agents pick up notable events and correlation-search alerts from Splunk Enterprise Security as they fire.
Investigate and enrich
Each alert is investigated end to end, enriched with identity, endpoint, cloud and threat-intel context from across your stack.
Write the verdict back
The verdict, the evidence trail and a status update are written back to the Splunk notable, so your system of record stays current.
What you can do
Put your Splunk alerts to work
Auto-triage notable events
Every Splunk ES notable is investigated and dispositioned, so analysts open a verdict, not a blank alert.
Clear the alert backlog
Investigate correlation-rule alerts at machine speed and cut the queue that never reaches zero.
Enrich beyond Splunk
Pull identity, endpoint, cloud and threat-intel context automatically, then attach it to the notable.
Keep Splunk as the source of truth
Results, evidence and status flow back into Splunk, so reporting and dashboards stay accurate.
Tune detections faster
Consistent dispositions surface noisy rules, so detection engineering can tune with evidence.
Prove time saved
Track investigations handled and hours returned to the team, ready for your next board update.
Deep dive
Automating Splunk alert triage, without playbooks
Most Splunk shops have tried to automate triage before. The usual route is a SOAR: pick your highest-volume notable types, write a playbook for each, and maintain those playbooks forever as detections, tools, and the environment change. The result is that automation covers the ten alert types someone had time to script, while the other hundred still land in the queue.
AI SOC agents work differently. Instead of executing a fixed playbook, a CognitiveSOC agent reasons through each Splunk notable the way an analyst would: it reads the alert, forms hypotheses, queries Splunk and the rest of your stack for evidence, weighs what it finds against your environment and policies, and documents a verdict with the full reasoning attached. There is nothing to script per alert type, so coverage is every notable, not a scripted subset. That difference between playbook automation and reasoning agents is the core of the SIEM vs SOAR vs AI SOC agents comparison.
A practical SOAR alternative for Splunk workflows
Teams evaluating a SOAR alternative for Splunk usually care about three things. First, time to coverage: playbook libraries take quarters to build, while agents investigate every notable from the first week. Second, maintenance: correlation rules change, playbooks silently break, and someone owns the fixing; agents adapt because they reason from live data instead of following steps. Third, evidence: auditors and customers increasingly ask why an alert was closed, and an agent’s investigation record answers that question for every single disposition.
Splunk stays the system of record throughout. Verdicts, evidence, and status updates flow back into Splunk ES, dashboards keep reporting accurately, and detection engineers get a consistent disposition history that shows which correlation searches earn their keep. Where a response action is warranted, agents act within the guardrails you set, from recommend-only through fully autonomous.
What Splunk teams measure after connecting Conifers
The before-and-after is measurable in Splunk itself: time from notable creation to disposition, share of notables investigated (coverage), false positive rate by correlation search, and analyst hours returned. Customers typically see investigations complete in about 2.5 minutes on average with greater than 99% accuracy, and SOC throughput lift of 3x or more. Our guide to SOC metrics and KPIs for AI SOC performance covers how to baseline these numbers before a pilot, and our comparison of the top AI SOC platforms in 2026 shows how integration approaches differ across vendors. For the full picture of what the agents do beyond triage, see CognitiveSOC’s AI SOC agents.
Why it matters
Value for the whole SOC
For analysts
Every Splunk alert arrives already investigated, with the evidence attached. Less queue triage, more real security work.
For SOC leaders
Lift throughput at least 3x and keep coverage on every Splunk notable, without adding headcount.
For the business
Faster, consistent investigations mean lower risk and a clear, auditable trail for every decision.
FAQ
Conifers and Splunk, answered
Does Conifers replace Splunk?
No. Conifers works on top of Splunk. Splunk stays your SIEM and system of record. Conifers reads the alerts and notable events Splunk produces, investigates them, and writes the results back.
How does Conifers connect to Splunk?
Through Splunk’s APIs, read-only where possible, with write-back for verdicts and status. There is no data migration and no movement of your logs out of Splunk.
Does Conifers work with Splunk Enterprise Security?
Yes. Conifers triages Splunk ES notable events and correlation-search alerts, then updates their status and disposition as it completes each investigation.
Will this increase our Splunk license or ingest cost?
No. Conifers does not add ingest. It reads alerts that Splunk already produces and runs investigations on top of them, so it does not change your Splunk data volume.
Is Conifers a SOAR for Splunk?
No. SOAR runs fixed playbooks. Conifers agents reason through each alert the way an analyst would, then act within the guardrails you set, with a full evidence trail behind every decision.
How long does the Splunk integration take to set up?
Most teams connect Splunk and are running investigations in two to four hours. Book a live demo to see it on your environment.