Data Onboarding
Connect security, infrastructure, identity, application and cloud data sources to the Splunk platform.
- Source discovery and planning
- Parsing and field extraction
- Data model alignment
- Quality validation
Splunk Solutions from CyberAxisBring diverse security data into a centralized analytics platform to detect threats, investigate incidents and improve operational decision-making.
CyberAxis helps organizations implement Splunk Enterprise Security, onboard data, engineer detections and build measurable SOC workflows.
Security Analytics PlatformSplunk Enterprise Security is a security information and event management platform built to centralize and analyze security data, support threat detection, accelerate investigation and improve response operations.
Organizations can correlate events across endpoints, identity, network, cloud and applications, then use detections, risk scoring, analyst workflows and integrations to focus attention on the most meaningful activity.
Collect and analyze security-relevant data from diverse systems to support monitoring, correlation and investigation.
Connect security, infrastructure, identity, application and cloud data sources to the Splunk platform.
Use searches, dashboards, correlation and analytics to understand activity across the environment.
Monitor security events and notable findings across endpoints, users, networks, applications and cloud services.
Improve detection quality with structured content, versioning, risk context and ongoing tuning.
Create and manage detections for known attack patterns and suspicious behaviors.
Maintain changes, governance and rollback for detection content.
Aggregate risk across users, systems and events to reduce isolated alert noise.
Organize detections and investigations around defined threat frameworks.
Enrich events with indicators and intelligence relevant to investigations.
Refine thresholds, exclusions and context to improve precision.
Test data, logic and expected outcomes before production rollout.
Document ownership, purpose, data dependencies and response actions.
Bring findings, risk, entity context, timelines and evidence together for structured incident handling.
Organize findings and investigative work so analysts can focus on prioritized activity.
Explore security data using flexible searches, hypotheses and investigation workflows.
Connect security findings with automation, orchestration, case management and external controls.
Establish repeatable processes for data onboarding, detection engineering, investigation, response and measurable improvement.
Connect and validate priority data sources.
Normalize fields, assets and identities.
Create and maintain security detections.
Apply risk and business context.
Analyze findings and affected entities.
Measure coverage, quality and outcomes.
Use cloud, self-managed or hybrid operating models according to architecture, data residency and operational needs.

Implementation, integration, operational support and continuous optimization aligned with your business and security requirements.
Engage CyberAxis for Splunk Enterprise Security assessment, implementation, detection engineering or ongoing SIEM operations.