Analysts spending the majority of each shift triaging alert queues in the SIEM rather than investigating the incidents that actually warrant attention?
Incident response managed in a generic ticketing system with no security-specific workflow, no evidence collection, and no timeline view that connects related alerts to a single case?
Security Operations Software Development
SOC teams are context-switching between vendor consoles, triaging the same classes of alert manually every shift, and managing incidents in ticketing systems that weren't designed for security workflows. The SIEM generates the data. The operational tooling to work with it isn't there.
We build custom SOC software: alert aggregation and triage workflows tuned to your detection rules, incident response case management with evidence and timeline tracking, threat detection rule management interfaces, and dashboards that give analysts and managers the visibility they need from a single screen.
Alert aggregation and triage workflow -- pull from SIEM, EDR, and cloud tools into a unified analyst queue
Threat detection rule management -- version control, testing, and deployment of detection logic
Incident response case management -- evidence collection, timeline tracking, and closure documentation
SOC analyst and manager dashboards -- workload, MTTR, coverage, and escalation metrics
RaftLabs builds custom security operations software for SOC teams -- alert aggregation and triage workflows, threat detection rule management, incident response case management, SIEM and log source integration, and the operational dashboards that give analysts and SOC managers unified visibility without pivoting between six vendor consoles. We build the software layer on top of your existing SIEM and security tools, designed around your specific detection rules, severity logic, and escalation procedures. Most SOC platform projects deliver in 10-16 weeks at a fixed cost.
100+Products shipped
·24+Industries served
·FixedCost delivery
·10-16Week delivery cycles
The SIEM generates the data. Custom tooling makes it usable.
Your SIEM is doing its job: ingesting logs, applying detection rules, generating alerts. The problem is everything that happens after the alert fires. Analysts open the SIEM queue, assess each alert individually, pivot to other tools for context, decide whether to escalate or close, and document that decision somewhere. None of that workflow is built into the SIEM. It is improvised, inconsistently applied, and impossible to measure.
Custom SOC software builds the operational layer on top of your SIEM. Alert triage workflows that apply your specific severity logic, route by alert type and team, and surface the context analysts need without manual pivoting. Incident response case management that ties related alerts to a single investigation, tracks evidence, and produces a closure record. Dashboards that show SOC managers what is happening right now and how their team is performing over time.
What we build
Alert aggregation and triage workflow
Alert ingestion from your SIEM, EDR, cloud security tools, and other detection sources into a single analyst-facing queue. Normalisation of alert formats across sources so analysts work from a consistent interface regardless of origin. Triage workflow with configurable severity logic, alert categorisation, and routing rules specific to your detection environment. One-click context enrichment pulling threat intelligence, asset data, and user information into the triage view. Disposition recording -- closed as false positive, escalated, assigned to case -- with the reason captured for every alert. The structured workflow that replaces ad hoc queue management.
Threat detection rule management
A management interface for your detection rule library: SIEM detection rules, EDR behavioural rules, and custom logic across platforms. Version control for rule changes with author, timestamp, and change reason recorded. Rule testing against historical log data before deployment to production. Rule performance metrics -- true positive rate, false positive volume, coverage by MITRE ATT&CK technique -- that tell you which detections are working and which are generating noise. Workflow for proposing, reviewing, approving, and deploying rule changes without editing rules directly in the SIEM. The engineering discipline applied to detection logic.
Incident response case management
Case management built for security investigation workflows. Alert-to-case linking: related alerts aggregated into a single incident rather than triaged separately. Evidence collection with structured attachment of IOCs, log extracts, screenshots, and analyst notes. Investigation timeline that shows the sequence of events, analyst actions, and decisions made during the case. Playbook integration for common incident types -- phishing, credential compromise, malware -- with guided investigation steps. Case closure with required fields for incident classification, root cause, and remediation actions. The structured record that supports post-incident review and compliance reporting.
SIEM and log source integration
Integration with Splunk, Elastic, Microsoft Sentinel, IBM QRadar, and other SIEM platforms via API and webhook. Direct log source integration for sources your SIEM doesn't cover natively. Alert and event data pulled from your SIEM into the SOC workflow platform without requiring analysts to context-switch to the SIEM interface for routine triage. Bidirectional status sync so alert disposition in the workflow platform updates the SIEM record. Log search capability surfaced in the analyst triage view for quick investigation without leaving the workflow.
SOC analyst dashboard and metrics
Analyst-facing dashboards showing current queue depth, alerts by severity and category, cases under investigation, and escalation status. SOC manager dashboards with team-level metrics: alert volume by analyst, mean time to triage, mean time to respond, escalation rate, and false positive rate by detection rule. Shift handover reporting generated automatically at the end of each shift: what came in, what was investigated, what is still open. Weekly and monthly performance trends for programme-level reporting to CISOs and security leadership. The operational visibility that turns intuition about SOC performance into measurable data.
Playbook automation for common incident types
Automated response playbooks for high-volume, well-understood incident types: phishing email triage, credential stuffing alerts, known-bad IP connection alerts, and policy violation detections. Playbook steps that execute automatically -- pulling headers from a reported email, checking URLs against threat intelligence, querying the identity provider for recent login events -- and present structured results to the analyst rather than requiring manual lookups. Guided investigation checklists for incident types that require analyst judgement. Escalation triggers that route to senior analysts when playbook results meet defined criteria. The automation that handles routine work so analysts spend time on non-routine investigations.
Frequently asked questions
A SIEM is a detection and log management system. It ingests data, applies rules, and generates alerts. A SOC platform is the operational layer built on top: the workflow system that governs how analysts interact with those alerts, how incidents are investigated and documented, how rules are managed, and how performance is measured. Most SIEMs provide limited workflow capability -- they were designed to detect and store, not to manage a team's operational process. Custom SOC tooling adds the structured workflow, case management, rule governance, and reporting layer that turns SIEM output into a managed security operation. It is the difference between having detections and running a SOC.
We integrate with SIEM platforms via their REST APIs, webhook alert forwarding, and in some cases direct database or index access. Splunk integration uses the Splunk REST API and HEC for alert forwarding. Elastic integration uses the Elasticsearch API and Kibana webhook actions. Microsoft Sentinel integration uses Azure Monitor REST API and Logic Apps webhook connectors. We scope the integration requirements during discovery, confirm API access and authentication method, and design the data flow before development begins. Bidirectional integration -- alert data flowing into the SOC platform, disposition data flowing back to the SIEM -- is standard in the architecture we build.
Alert fatigue is a workflow problem, not just a volume problem. We address it at three levels. First, triage workflow design: configurable routing rules that automatically classify and prioritise alerts based on your specific environment and threat model, so analysts see the most important alerts first rather than a flat chronological queue. Second, context enrichment at triage time: asset criticality, user risk scores, and threat intelligence surfaced automatically so analysts can make disposition decisions faster without manual lookups. Third, rule performance feedback: false positive rates tracked per detection rule so your team can tune or suppress rules generating noise without useful signal. We design the workflow for your specific alert volume and team size during discovery.
A focused SOC tool -- alert triage workflow and analyst dashboard with SIEM integration -- typically runs $25,000 to $70,000. A full SOC platform with alert aggregation across multiple sources, incident case management, rule management, playbook automation, and SOC manager reporting runs $70,000 to $150,000 depending on scope and integration complexity. We scope the project before pricing it so you know the fixed cost before development starts.
