YourAgenticAITeammate.
SIEMate connects to your security data platforms and SIEM tools and gives security teams an assistant that can take any SIEM action, rule suggestions verified against your data, an ATT&CK coverage map, insights, and AI workflows, with every change behind your approval.
Self-hosted software with support for customer-managed AI providers
customer-managed deployment
role-based access
OpenAI, Gemini, or any other LLM provider
queries and tool activity shown inline
Featured integrations
Splunk
+ additional providers
What SIEMate does
Eight capabilities, one workspace.
From the first question to a reviewed, version-controlled rule, every step runs inside the SIEM you already operate.
A closer look
Built for the work detection teams actually do.
Investigate with an assistant that can act, add the rules you are missing, see your ATT&CK coverage, catch broken rules early, and keep every change behind a review step.
Agent Assistant · Any SIEM action
One assistant, docked beside every page.
Ask about your data, or ask for a change. The assistant knows which rule, dashboard, system, insight, or workflow you are looking at, writes the provider-specific query, and turns every proposed change into a card you approve, reject, or move to draft.
- ✓Runs searches on Splunk, Elastic, and Snowflake and shows the exact query next to the answer
- ✓Creates and edits rules, dashboards, systems, Splunk apps, insights, skills, and workflows
- ✓Every change needs approval, destructive actions are always gated, and read-only users cannot change anything
- + user!=svc_backup
- + Alert action: email soc@acme.example
Rule Suggestion · Detection Engineering
Your next rules, already written.
SIEMate profiles each system from the data it sends, matches it against the SIEMateRules catalog, and recommends the detections you are missing. Each suggestion arrives verified: converted for your SIEM, field-checked against your knowledge base, and run once before you see it.
- ✓Nightly pipeline: catalog sync, tag matching, relevance pass, duplicate check, and verification with a high, medium, or low level
- ✓An activity check labels each suggestion quiet, normal, or noisy before you add it
- ✓Tailored suggestions drafted from your own telemetry, using aggregate evidence only
- ✓Nothing is deployed until you create the rule. Critical catalog rules raise a priority insight within 15 minutes
Attack Coverage Map · MITRE ATT&CK
BetaEvery technique you cover. Every one you don't.
A MITRE ATT&CK Enterprise matrix judged per system. Each technique is Covered, Suggested, a Detectable gap, a Blind spot, or Out of scope, so the score reflects what your environment can actually see rather than a generic checklist.
- ✓Heatmap and grid views, search by technique, and filters by bucket and system
- ✓Open a technique to see the rules that detect it and create a ready suggestion from the same panel
- ✓Mappings come from the catalog, the rule text, or AI; low-confidence mappings go to a review queue for a human decision
Insights · Rule Health
Catch rule problems before they bite.
A daily rule-health refresh scores every alert and report: silent, spiking, sustained noise, firing with no action, or stopped. The worst are escalated to the agent, which gathers evidence first and then opens an insight with a priority from 1 to 5.
- ✓Fix with SIEMate proposes the change in chat. Nothing changes until you approve it
- ✓Ask SIEMate walks through the fix without touching anything
- ✓Insights close themselves once the fix works, and unused reports get their own tab
Featured integrations
Connect the platforms your team already runs.
Splunk, Elasticsearch, and Microsoft Sentinel are featured here, with additional provider integrations available for other security environments.
Splunk
Splunk platform
SPL · Saved searches · HEC · Rules
- ·Splunk Search Language (SPL)
- ·Saved searches and scheduled alerts
- ·HEC collection setup
- ·Sigma to SPL conversion
- ·Dashboard export
Elastic
Elastic Security & Kibana
KQL · Detection rules · Kibana dashboards
- ·Kibana Query Language (KQL)
- ·Detection rule management
- ·Sigma to Elasticsearch conversion
- ·Elasticsearch queries
- ·Dashboard workflows
Microsoft Sentinel
Microsoft cloud-native SIEM
KQL · Analytics rules · Workbooks
- ·Kusto Query Language (KQL)
- ·Analytics rule workflows
- ·Microsoft security context
- ·Sigma to KQL conversion
- ·Workbook workflows
How it works
From connection to informed action.
Connect your SIEM
Create a workspace, choose a supported provider, and provide the connection details and credentials required for your environment.
ConfigurationBuild workspace context
Run onboarding to discover provider metadata and build a knowledge base that the agent can use when generating queries and explaining results.
OnboardingInvestigate, build, and automate
Ask the assistant, add suggested rules, check ATT&CK coverage, resolve insights, and schedule AI workflows. Every change to the SIEM is a card you approve, move to draft, or export as Terraform.
Ongoing useExplore SIEMate
See the product before the meeting.
Walk through a realistic SIEMate workspace using clearly labeled mock data. No form, login, or sales call required.
- Explore a representative workspace
- Follow an AI-assisted investigation
- Move a proposed rule change to a draft
- Add a suggested rule in a click
- Read the ATT&CK coverage map
- Resolve an insight with the assistant
- See a scheduled AI workflow
See how SIEMate fits your security workflow.
Explore the guided tour with illustrative data, then request a live session to discuss your environment and requirements.
siemate.com