SIEM That Actually
Detects Threats
Deploy, tune, and operate a SIEM that cuts through alert noise — with high-fidelity detections mapped to MITRE ATT&CK and automated response workflows.
We don't just deploy SIEMs — we build detection programmes with high-fidelity rules, operationalised workflows, and teams trained to run them.
Platforms We Deploy & Manage
SIEM Platforms We Work With
Multi-platform expertise across commercial, cloud-native, and open-source SIEM solutions.
Splunk Enterprise / Cloud
Enterprise SIEM with SPL analytics, adaptive thresholding, SOAR integration, and premium security content.
Microsoft Sentinel
Cloud-native SIEM built on Azure with KQL analytics, built-in UEBA, SOAR playbooks, and Defender XDR integration.
Elastic Security (ELK)
Open-platform SIEM with Elasticsearch backend, detection rules, ML-powered anomaly detection, and Osquery integration.
Google SecOps (Chronicle)
Petabyte-scale SIEM with YARA-L detection, sub-second search, duet AI assistance, and fixed-cost ingestion pricing.
Wazuh / Open-Source SIEM
Open-source XDR and SIEM with FIM, vulnerability detection, compliance monitoring, and no licensing costs.
IBM QRadar / LogRhythm
Enterprise SIEM platforms with network behaviour analytics, asset modelling, and SOC workflow automation.
The Plaidnox Difference
Why Enablement Matters as Much as the Technology
SIEM is deployed but critical log sources are never onboarded or stop sending data
Detection rules are default vendor content that generates overwhelming false positives
Alerts are generated but nobody triages them because there are no defined workflows
SIEM costs spiral because ingestion is unmanaged and low-value data is indexed at full rate
Most SIEM deployments fail because detection engineering, alert triage, and operational processes are never properly established after the initial deployment.
Building custom detection rules tested against real data before deployment
Training your analysts to write, test, and tune detection content independently
Implementing log source health monitoring so coverage gaps are caught immediately
Designing ingestion architectures that control costs without sacrificing detection coverage
The result is a SIEM that detects real threats because your team has the skills, processes, and detection content to operate it — not just a platform collecting logs.
What We Deliver
SIEM Capabilities
From log ingestion to detection engineering — full-spectrum SIEM enablement.
Log Aggregation & Normalisation
We design and deploy log collection architectures that centralise data from firewalls, endpoints, cloud platforms, identity providers, SaaS applications, network devices, and custom applications into a unified schema. Log sources are onboarded with validated parsers, enrichment pipelines, and health monitoring so you know immediately when a source stops sending data. Normalisation ensures that events from different vendors are comparable — enabling cross-source correlation that works reliably without constant parser maintenance.
Detection Engineering & Correlation Rules
Off-the-shelf detection rules produce noise. We build custom detection logic mapped to MITRE ATT&CK techniques relevant to your environment — using your actual log sources, your threat model, and your risk priorities. Detection rules are written using detection-as-code practices (Sigma, KQL, SPL, YARA-L) and maintained in version-controlled repositories so every rule has a documented purpose, a mapped ATT&CK technique, and a defined response action. Rules are tested against historical data before deployment to validate true-positive rates.
Dashboards & Executive Reporting
Analyst dashboards provide real-time visibility into active threats, alert queues, and investigation status. Executive dashboards show compliance posture, log health, detection coverage, and mean-time-to-detect and respond metrics. Dashboards are designed for the people who will actually use them — analysts need operational context, not pie charts, and executives need trend data, not raw event counts. Custom reports are configured for compliance evidence, board reporting, and audit support.
Automated Response (SOAR)
SOAR-integrated response playbooks auto-enrich alerts with threat intelligence, reputation data, and asset context — then execute containment actions like disabling accounts, isolating endpoints, or blocking indicators. Playbooks are designed collaboratively with your SOC team so automation handles the repetitive work while humans make the decisions that matter. Automated responses include rollback mechanisms and escalation paths so that false-positive containment actions can be reversed quickly.
Multi-Tenant & Scalable Architecture
For organisations with multiple business units, subsidiaries, or MSSP models, we design multi-tenant SIEM architectures that provide data isolation, role-based access, and tenant-specific detection content while sharing infrastructure efficiently. Architecture designs account for ingestion volumes, retention requirements, search performance, and storage tiering — ensuring the SIEM scales cost-effectively as log volumes grow without degrading search performance or detection throughput.
Performance Tuning & Cost Optimisation
SIEM costs grow with data volume. We optimise EPS through log filtering, source prioritisation, storage tiering, and parsing improvements — reducing costs without losing detection coverage. Noisy log sources are filtered at the collector level. Low-value events are routed to cold storage. High-value events are indexed for real-time search. The result is a SIEM that costs less, performs better, and detects more — because ingestion is intentional, not accidental.
Our Approach
SIEM Deployment & Enablement
From requirements to managed operations — SIEM programmes that detect real threats.
Requirements & Log Source Mapping
We identify your critical log sources, compliance requirements, retention policies, detection priorities, and existing SIEM pain points. For organisations with existing SIEMs, we conduct a health assessment covering ingestion completeness, detection efficacy, parser health, storage utilisation, and performance bottlenecks. For greenfield deployments, we map log sources to detection objectives and sizing requirements. The output is a prioritised implementation roadmap.
Platform Selection & Architecture
We evaluate SIEM platforms — Splunk, Microsoft Sentinel, Elastic, Google SecOps, or Wazuh — against your requirements, budget, team skills, and integration needs. Architecture design covers deployment topology, collector placement, ingestion pipelines, storage tiers, HA/DR, and integration points with SOAR, threat intelligence, and ticketing platforms. Sizing is validated against actual log volume samples to avoid over- or under-provisioning.
Deployment & Log Onboarding
SIEM infrastructure is deployed and log sources are onboarded in prioritised waves. Collectors, forwarders, and API integrations are configured and validated. Parsers are tested against real log samples to ensure correct field extraction and normalisation. Ingestion health monitoring is configured to alert when sources stop sending or when data quality degrades. Every onboarded source is documented with expected volume, responsible team, and contact for troubleshooting.
Detection Engineering & Tuning
Custom detection rules are built, tested against historical data, and deployed in production. Rules are mapped to MITRE ATT&CK and documented with severity, response actions, and false-positive exclusions. Alert tuning is iterative — we work with your SOC team to suppress known false positives, refine thresholds, and improve alert fidelity until the signal-to-noise ratio meets operational requirements. Threat hunting queries are developed and documented for proactive use.
Handover & Managed Operations
Your team is trained on SIEM administration, detection rule management, alert triage workflows, and performance monitoring. Runbooks are delivered for every operational scenario — log source troubleshooting, rule management, storage capacity planning, and incident escalation. Optionally, Plaidnox provides managed SIEM operations including continuous detection engineering, log source onboarding, performance tuning, and monthly health reporting.
Where We Help
SIEM Use Cases
Greenfield SIEM Deployment
Full deployment from platform selection through log onboarding and detection engineering for organisations building a SIEM from scratch.
SIEM Migration (Legacy to Modern)
Migrate from legacy SIEMs to modern platforms — Splunk to Sentinel, ArcSight to Elastic, QRadar to Chronicle — with zero detection gap.
Cloud-Native SIEM for AWS / Azure / GCP
Deploy cloud-optimised SIEM with native integrations for CloudTrail, Azure Activity, GCP Audit Logs, and Kubernetes events.
Detection-as-Code (Sigma Rules)
Implement version-controlled detection pipelines using Sigma rules, automated testing, and CI/CD deployment to your SIEM platform.
Compliance Log Retention
Design retention architectures meeting SOX, HIPAA, PCI-DSS, and ISO 27001 log storage requirements with cost-optimised tiering.
Threat Hunting & Proactive Detection
Build and operationalise threat hunting programmes with hypothesis-driven hunts, IOC sweeps, and ATT&CK-mapped hunt queries.
MSSP / Multi-Tenant SIEM Operations
Design and deploy multi-tenant SIEM architectures for MSSPs with data isolation, tenant-specific content, and shared infrastructure.
Cost Optimisation & EPS Right-Sizing
Reduce SIEM costs through log filtering, source prioritisation, storage tiering, and ingestion optimisation — without losing coverage.
Deliverables
What You Receive
SIEM Health Assessment Report
Comprehensive assessment of your SIEM covering ingestion completeness, detection efficacy, parser health, and performance with prioritised recommendations.
Architecture & Deployment Documentation
Full architecture documentation including deployment topology, collector placement, ingestion pipelines, storage tiers, and HA/DR strategy.
Detection Content Library
Custom detection rules mapped to MITRE ATT&CK with documented severity, response actions, false-positive exclusions, and testing results.
Team Enablement & Runbooks
Operational runbooks for SIEM administration, rule management, log source troubleshooting, capacity planning, and incident escalation.
Monthly SIEM Health Reports
Monthly reporting on ingestion volumes, detection coverage, alert fidelity, storage utilisation, and mean-time-to-detect metrics.
Quarterly Detection Reviews
Structured quarterly reviews of detection coverage against ATT&CK, new threat landscape developments, and detection rule optimisation.
Build a SIEM That Works.
Detect Real Threats, Not Noise.
Start with a free SIEM health check and detection coverage assessment. Walk away with clarity on your detection gaps and a practical path to closing them.