See what matters and detect real threats.
Your security depends on what you can see. We help teams build and optimize SIEM, logging, and detection programs that cut through the noise and surface real threats.
- Program
- SIEM and Detection
- Covers
- SIEM Optimization and Tuning, Cloud and Hybrid Logging, Detection Engineering, Kubernetes and Container Visibility, Tool Evaluation and Implementation, Log Retention and Cost Optimization
- Delivered by
- CWS engineers, by name
Sound familiar?
we hear this a lot
- 01
Alert Fatigue
Noisy or misconfigured logging pipelines flood teams with false positives, burying real threats in the noise. Many SIEM deployments ingest data without clear detection objectives, generating alerts that lack context or actionable detail. Over time, analysts begin ignoring categories of alerts entirely, which creates exactly the coverage gaps that adversaries exploit to move laterally undetected.
- 02
Critical Blind Spots
SaaS, cloud-native, and containerized environments generate telemetry that does not reach your SIEM. Many organizations have visibility into on-premises infrastructure but lack log collection from cloud control planes, identity providers, and ephemeral workloads. These blind spots mean that an attacker operating entirely in cloud services can evade detection simply because those data sources were never onboarded.
- 03
Fragmented Tooling
Disparate security tools that don't integrate cleanly create gaps in coverage and slow down investigations. When EDR, network detection, cloud security, and identity tools each operate in isolation, analysts must manually pivot between consoles to reconstruct attack timelines. This fragmentation adds hours to investigation workflows and increases the likelihood that critical context is missed during triage.
- 04
Reactive Incident Response
Without real-time insights and correlated signals, teams are always a step behind the threat. Learning about an incident from an outside party is a sign that monitoring is not producing actionable intelligence quickly enough. The gap between compromise and detection directly determines the scope and cost of an incident.
What we do
and how we help
SIEM Optimization and Tuning
Reduce false positives and map data ingestion to real detection goals so your team focuses on what matters.
Cloud and Hybrid Logging
Scalable logging pipelines in AWS, GCP, and Azure with cost controls and full environment coverage.
Detection Engineering
Build detections aligned to MITRE ATT&CK, NIST, or your internal threat model for measurable coverage.
Kubernetes and Container Visibility
Instrument clusters for workload and network visibility across ephemeral and orchestrated environments.
Tool Evaluation and Implementation
From Elastic to Panther to Splunk, we help you choose and configure the right stack for your environment.
Log Retention and Cost Optimization
Reduce unnecessary ingestion and storage costs without sacrificing detection quality or compliance needs.
What sets us apart
why us
Security-First Lens
We optimize for detection quality and threat coverage, not just data ingestion. Every rule and pipeline serves a security outcome.
Modern Stack Expertise
Fluent in cloud-native, serverless, and container-based environments. Built without legacy assumptions.
Outcome-Oriented
We prioritize signal over noise and cost-efficiency in every build. Your SIEM should work for you.
Ready to Improve Your Security Visibility?
We'll help you cut through the complexity and build a SIEM program that works.
Part of the SIEM and Detection program.