Implementation support across SOC layers
Log Collection
Design and configure agents and forwarders to collect logs from your systems. Elastic Agents, Logstash, Fluentd, cloud forwarders, or custom collectors. Architecture assessment and implementation guidance.
Log Brokerage and Ingestion
Architect distributed log management pipelines with enrichment and forwarding to your SIEM. Logstash, Kafka, AWS Firehose, or custom stream processing.
SIEM Engineering
Platform selection, deployment architecture, and configuration. Elastic, Splunk, Datadog, Sentinel. Performance, availability, security, and scalability considerations.
Detection Rules
Detection logic development and testing. Environment-specific tuning and detection-as-code implementation.
Alerting and Correlation
Alert validation and tuning. Purple team testing with simulated attack logs to reduce false positives and improve detection accuracy.
Dashboards and Reporting
Build visualizations and executive reports showing security posture, KPIs, and incident trends in real-time.
Response (SOAR) Automation
Automated playbook development for common incidents: enrichment, containment, ticketing, notifications.
Active Defence and Deception
Implement honeypots, decoys, and canary tokens to detect attacker activity early and gather intelligence.
What you'll receive
Multi-environment SOC design
Cloud-Native Integration
Aggregate logs across private and public cloud such AWS, Azure, GCP with your SIEM platform. Ingest CloudTrail, Azure Activity Logs, GCP Audit Logs, and infrastructure security findings.
Hybrid Monitoring Architecture
Build unified monitoring across cloud and on-premises infrastructure with normalized logging and cross-environment correlation.
Third-party Tool Integrations
Connect cloud security posture management (CSPM) tools to your detections. Automate detection and response.
Multi-Cloud Architecture
Deploy consistent monitoring across your multi cloud: AWS, Azure, and GCP, or private cloud and virtualized infrastructure.