Less manual handling
Move discovery, formatting, and transfer work into a defined pipeline so your team can spend more time on analysis.
SIEM integration & cyber analysis automation services
SIEM integration.
Cyber analysis,
automated.
Put useful findings inside the systems your team already uses. GS Consulting connects security data, private AI analysis, and operational platforms through structured events, reliable workflows, and human review.
Start with a 20-minute fit check. Define a focused assessment or pilot.
From source to decisionIntegration pattern
- 01Ingest & normalizeINPUT
Approved logs, artifacts, and API data
- 02Enrich & analyzeCONTEXT
Domain logic + optional private AI
- 03Validate & reviewCONTROL
Event schema, evidence, and analyst gates
- 04Integrate & orchestrateOUTPUT
SIEM · SOAR · API · database
Trace every handoff. Keep permissions, exceptions, and human decisions visible.
Documented implementationPrivate AI → structured JSON → SIEM / database
Software + cyber expertiseData, domain logic, and integration in one team
DoD & IC cyber experienceApplied to your organization's operating needs
Turn disconnected analysis into usable work
Your analysts should have the finding.
And the context behind it.
SIEM integration and cyber analysis automation connect approved security data to the tools where analysts investigate and act. GS Consulting engineers ingestion, enrichment, event schemas, connectors, orchestration, and review controls so findings arrive in a usable form, with evidence and a clear owner.
Findings that fit your tools
Agree fields, types, and destination behavior so results can be indexed, searched, routed, and reviewed.
Visible decisions and failures
Make incomplete work, rejected results, and human decisions visible to the people who own the workflow.
Built by GS Consulting
A private AI pipeline.
An operational destination.
Our published case study describes a locally hosted AI system that turns approved host and operational data into structured JSON for an approved SIEM or database.
- Custom Python automates preparation, model interaction, and output handling.
- Reusable domain instructions apply collection-specific cyber analysis methods.
- Schema checks and a custom integration make results available for indexing and search.
- Workflow orchestration shows execution state and failures; analysts retain consequential decisions.
A starting point for scoping your workflow. Platforms, controls, and acceptance criteria are agreed for each new engagement.
What the service covers
Engineer the complete integration.
Choose the work your environment needs. Each part has a defined output, an operating owner, and a testable result.
Data ingestion and normalization
Bring approved logs, host artifacts, exports, and API data into a consistent intake path. Map fields and timestamps, handle duplicates and missing data, and retain references to the source.
DeliverableSource inventory, field mappings, and ingestion checks
Enrichment and private AI analysis
Add approved asset, identity, or domain context. Apply private AI where interpretation or summarization helps, supported by task-specific instructions, representative evaluation, and a defined data boundary.
DeliverableEnrichment logic and an evaluated analysis path
Event and JSON schema design
Agree the data contract with the receiving team: identifiers, timestamps, evidence references, finding types, review state, and versioning. Keep model observations distinguishable from analyst decisions.
DeliverableVersioned event contract and validation rules
SIEM, SOAR, API, and database integration
Build the connector and transformation work that makes results usable in existing tools. Assess authentication, indexing, field types, rate limits, and delivery acknowledgments for each target.
DeliverableA tested connection to the approved destination
Workflow orchestration
Coordinate triggers, dependencies, processing state, and handoffs. Design retry limits, timeouts, duplicate handling, and exception queues so operators can see and recover failed work.
DeliverableWorkflow definitions, status visibility, and recovery paths
Human review and escalation
Define what automation can prepare, what an analyst must review, and who handles uncertainty or a high-impact finding. Capture approvals, rejections, overrides, and escalation ownership.
DeliverableReview gates and an escalation matrix
Auditability and access controls
Scope identities, permissions, secrets handling, logging, and retention around the workflow. Trace a result back to its input, processing version, integration status, and review history.
DeliverableAccess matrix and an operational evidence trail
A bounded assessment or pilot
Start with one workflow, an agreed source and destination, and measurable acceptance criteria. Use approved test data to establish feasibility before committing to a wider implementation.
DeliverableIntegration brief, pilot evidence, and a next-step decision
Event design that supports decisions
Every finding needs a usable contract.
Define how a finding will be understood before sending it downstream. A valid JSON object still needs traceable evidence, content checks, and the right review state.
- Preserve provenance. Link the result to its approved source and processing version.
- Separate observation from decision. Record analyst review independently from model output.
- Handle rejection explicitly. Quarantine invalid events and route uncertainty for review.
Illustrative event contractJSON
{
"schema_version": "1.0",
"event_type": "analysis.finding",
"source_ref": "sample-042",
"analysis_version": "pilot-v1",
"review_status": "pending",
"action_authorized": false
}Illustrative fields only. The actual schema and destination mapping are defined with your team.
Begin with the bottleneck
Which handoff is still manual?
Bring the source, the destination, and the work analysts repeat between them. We will help define the smallest useful integration.
Scope My Integration 20-minute fit check · Human-reviewed inquiry
A bounded starting point
One source. One destination.
A result you can evaluate.
A short fit check establishes whether there is a useful project. Assessment and pilot work have an agreed scope, price, dependencies, and milestones before delivery begins.
Make the scope concrete.
Map one workflow and resolve the questions that determine feasibility.
- Source and destination interfaces, owners, and access
- Data categories, volumes, quality, and deployment constraints
- Event contract, review gates, and exception paths
- Pilot acceptance criteria, dependencies, and delivery estimate
You receiveIntegration brief and data flow map
Prove one working path.
Build the agreed integration with approved test data and a named reviewer.
- A tested source-to-destination integration
- A versioned event contract and validation rules
- Success, failure, retry, and human-review test cases
- Pilot test evidence, an operating runbook, and a next-step decision
You receiveA working increment with acceptance evidence
Agree what success means before the build.
- Data quality
- Required fields, source coverage, and rejection behavior
- Delivery
- Events arrive, can be searched, and can be reconciled
- Analysis
- Representative findings evaluated by the domain owner
- Operations
- Latency, analyst effort, failure recovery, and ownership
Targets are set against your baseline. Production rollout, additional sources, and ongoing support are scoped after the pilot decision.
Related capabilities
Connect the rest of the workflow.
Secure AISecure AI automation
Design the broader operating system around your AI workflow.
Explore the service →Private modelsPrivate LLM & secure RAGChoose a deployment and retrieval architecture that fits your data.
Explore implementation →Cyber analyticsThreat detection & analyticsDefine the detection and analysis use cases your pipeline supports.
Explore cyber analytics →System integrationLegacy system integrationConnect operational software, enterprise data, and existing platforms.
Explore integration →Before an engagement
Practical answers.
Clear scope.
What we build, how we begin, and where your team stays in control.
What do SIEM integration and cyber analysis automation services include?
GS Consulting designs and builds the workflow that moves approved security data through ingestion, normalization, enrichment, analysis, schema validation, and integration. Results can go to a SIEM, SOAR platform, API, database, or case management system, with orchestration, access controls, audit records, and defined human review. The engagement is scoped to the systems and outcomes your organization needs.
Can you work with our existing SIEM, SOAR, or database?
We start with your existing stack and assess its supported interfaces, schemas, permissions, licensing, deployment restrictions, and throughput limits. The public case study demonstrates a custom JSON integration into an approved SIEM or database. Compatibility with a specific platform or version is confirmed during assessment; a new integration may require a connector, transformation layer, or custom API work.
Does the workflow need AI, and does the model have to run locally?
AI is optional. Parsing, normalization, validation, and routing often use conventional software. Private AI can assist with interpretation, enrichment, or summaries where evaluation shows value. The case-study implementation used a locally hosted model; a new project may use local hosting, a dedicated environment, or an approved API, depending on the data and operating requirements.
How are model-generated findings checked before they reach another system?
We define required fields, allowed values, source references, schema versions, and rejection rules with the receiving team. Structural validation checks whether an event meets the data contract; it does not prove the analysis is correct. Content evaluation, source evidence, analyst review, and escalation criteria address that separate question. Invalid or unresolved results follow an explicit exception path.
What is included in a bounded integration assessment or pilot?
An assessment maps one workflow, its source and destination, access and data constraints, schema requirements, and acceptance criteria. It produces an integration brief and a proposed pilot scope. A separately agreed pilot builds a limited integration using approved test data, exercises success and failure paths, and provides test evidence, a runbook, and a recommendation for the next step.
Will automation take response actions without analyst approval?
The scope explicitly defines which actions can be automated and which require approval. Read-only enrichment or preparation of findings can be a sensible starting point. Actions such as disabling an account, changing a rule, or isolating a host require a separately agreed authorization model, testing, and recovery plan. Human review and escalation are designed into the workflow.
Is this a managed SOC, vulnerability assessment, or incident response service?
This page describes project-based integration and automation engineering. It does not include continuous SOC monitoring, vulnerability testing, or emergency incident response by default. We can discuss related cyber requirements during the fit check and define any additional scope separately. Your operating team retains responsibility for security decisions unless the engagement expressly assigns it otherwise.
What determines cost, timing, and the information needed to start?
Scope depends on source variety, interface access, data quality, event volume, model requirements, deployment constraints, and the amount of validation and review needed. Start with a high-level description of the workflow, platforms, desired outcome, and timing. We agree deliverables, dependencies, price, and milestones before implementation. Do not send raw logs, credentials, vulnerability details, or restricted information through the website.
Make the next integration useful
Bring the workflow.
Let’s define the first working connection.
Tell us which data needs to reach which system, who reviews the result, and what needs to improve. We will help scope an integration assessment or pilot.
Scope My Integration Review assessment and pilot deliverablesDescribe the workflow at a high level. Do not submit raw logs, credentials, vulnerability details, CUI, classified information, or other restricted data.