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As of October 2026, the AI SOC Agents with the strongest public evidence of AI SIEM integration are Simbian, Dropzone AI, D3 Morpheus, Torq HyperSOC, and Prophet Security. A good integration queries your SIEM in place, in the SIEM's own language (SPL, KQL, AQL), and puts the verdict on its native incident.
Every AI SOC vendor says it integrates with Splunk. Ask how, and the answers split. Some query the SIEM where the logs already sit. Others want your logs streamed into their own store, which means paying to keep the same data twice.
We ranked five Agents on how fully each documents querying SIEMs in place and writing back to them. We make Simbian. Every Agent claim here, ours included, comes from each vendor's own documentation as of October 2026.
An AI SIEM integration works when the Agent queries your SIEM in place, writes that SIEM's own query language, puts its verdict on the native incident, and notices when a feed or field changes. Miss one and your analysts end up in two consoles, or a broken parser goes unnoticed until the incident review.
Simbian, Dropzone AI, D3 Morpheus, Torq HyperSOC, and Prophet Security have the strongest public evidence of working on an existing SIEM. All five cover Splunk and Microsoft Sentinel. They split on how many SIEMs they document writing back to, from six for Simbian to one in detail for D3 and Prophet, and on who writes the queries.
Simbian's AI SOC Agent queries six SIEMs through their APIs and updates each one's native case object. On Splunk Enterprise Security it runs SPL over the REST API, with no Heavy Forwarders, and updates notables in Incident Review. Sentinel, QRadar, Elastic, Google SecOps, and Cortex XSIAM work the same way in their own languages, and Simbian's integration pages also cover Exabeam and Securonix. Handed a query language it had never seen, Simbian went from zero to about 70% query success in two iterations, with no engineer involved.
Most investigations start in the SIEM and finish somewhere else.
Simbian reads from more than 100 tools and acts back into 25-plus, so a Splunk notable can end in containment on your EDR. It also notices when a log source goes quiet.
As of October 2026, 95% of the responses Simbian proposes are approved by the customer's own analysts. Their call, not ours.
Dropzone AI queries six SIEMs, including QRadar, and publishes the most detailed per-SIEM setup guides of the five. Write-back is documented for Splunk, Sentinel, and Google SecOps. We couldn't find it for QRadar, so ask where a QRadar verdict lands.
D3 puts it plainly: "Morpheus augments your SIEM. It does not replace it, compete with it, or require log re-ingestion." Its most detailed write-back is a two-way Sentinel incident sync. The Splunk and QRadar pages promise bi-directional sync. Ask which fields.
Torq HyperSOC receives alerts from Splunk, Sentinel, and Google SecOps, and writes back through workflow steps such as "Update notable Event." We couldn't find its Socrates Agent writing SPL or KQL itself. Teams that run playbook-based SIEM automation will find the approach familiar, and someone still maintains every step.
Prophet lists 15 SIEMs, the longest list here. Google SecOps is the only SIEM where we found write-back documented, though Prophet's FAQ markup calls its Splunk and Sentinel integrations "bi-directional."
Every cell comes from the vendor's own pages as of October 2026. "Not found" means we searched and came up empty.
| Agent | Query language | Writes back to |
|---|---|---|
| Simbian | SPL, KQL, AQL, ES|QL/EQL, UDM search, XQL | Splunk, Sentinel, QRadar, Elastic, Google SecOps, XSIAM |
| Dropzone AI | SPL (CIM-aware), KQL, AQL | Splunk, Sentinel, Google SecOps (QRadar not found) |
| D3 Morpheus | SPL, KQL, QRadar API | Sentinel two-way sync; others claimed |
| Torq HyperSOC | Workflow query steps | Splunk, Sentinel |
| Prophet Security | Google SecOps UDM (others not named) | Google SecOps (others claimed) |
An AI SOC Agent on top of your SIEM investigates and responds now, on the logs you already keep. AI SIEM tools like Microsoft Sentinel with Security Copilot, CrowdStrike Falcon Next-Gen SIEM, and Cortex XSIAM build reasoning into their own data platform. Unless you run one already, that AI means a migration, and even then it reasons over what that platform ingests.
Consoles and SIEMs move anyway.
Microsoft is set to end Sentinel management in the Azure portal on March 31, 2027, and since 2024 Palo Alto and IBM have offered eligible QRadar customers a path to Cortex XSIAM. An Agent that queries old and new SIEMs alike keeps triage running through the move.
Book a demo and bring your hardest week of alerts from your own SIEM.
Q: Does an AI SOC Agent need its own copy of my SIEM logs? Not if it queries in place. An AI SOC Agent that searches through the SIEM's API leaves the logs where they are. An Agent that streams logs into its own store keeps a second copy you pay for.
Q: What is the difference between an AI SIEM and an AI SOC Agent? An AI SIEM, sometimes sold as an agentic SIEM, builds AI reasoning into its own data platform, so adopting one usually means moving your logs. An AI SOC Agent adds investigation and response on top of the SIEM you already run.
Q: Does an AI SOC Agent increase SIEM costs? It can, ours included. Every query uses capacity. Splunk's guidance on skipped searches notes "no default limit on ad-hoc searches," so heavy searching in an alert storm can crowd out scheduled detections. Microsoft Sentinel bills Basic and Auxiliary table queries by data scanned. Ask every vendor for its query budget.
Q: Which SIEMs do AI SOC Agents support? Simbian, Dropzone AI, D3 Morpheus, Torq HyperSOC, and Prophet Security all support Splunk and Microsoft Sentinel. Coverage of Google Security Operations, IBM QRadar, Elastic, Cortex XSIAM, and Sumo Logic varies, so check for documented write-back on your exact SIEM.
