tools you own
Your SIEM collects everything and tells you very little.
We tune detections to your estate and run them with you.
- SIEM Implementation and Data Ingestion
- Detection Engineering and Rule Development
- Cloud-Native Threat Detection
What this program covers
- Log Aggregation
- Detection Engineering
- Threat Hunting
- Managed Cloud SOC
- Multi-Cloud Monitoring
- Active Containment
- SIEM Tuning
- Cloud Forensics
- Compliance Reporting
- Correlation Rules
- Cloud Identity Defense
- Incident Response
More data, fewer answers.
sound familiar?
Your SIEM alerts on everything and your analysts triage all day.
Firewalls, endpoints, cloud services, applications and identity systems send a constant stream of events. A security information and event management (SIEM) tool shipped with default rules flags a lot of it, so the real threats wait in the same queue as the false positives.
We write detections for your environment and tune them for precision over volume.
Every cloud logs differently, so nobody sees the whole picture.
AWS CloudTrail, Azure Activity Logs and GCP Cloud Audit Logs each use their own schema, and Kubernetes adds another layer of events. Run two or three clouds and you have two or three silos. A compromise that moves from Azure AD into an AWS account can slip between teams.
We bring the logs into one schema and write detections that follow an attacker across clouds.
An alert fires at 2 AM and nobody is cleared to act on it.
When a compromised IAM role starts launching instances for cryptomining, an alert on a dashboard does nothing by itself. The role keeps running and the bill keeps climbing.
You authorize response actions up front, and our team isolates workloads, revokes credentials and blocks network paths.
Audit season means rebuilding the story from scattered logs.
SOC 2, PCI DSS, HIPAA and NIST 800-53 all expect continuous monitoring and prompt incident reporting. With evidence spread across SIEM logs, endpoint telemetry, cloud audit logs and application logs, reconstructing a timeline means jumping between tools and hoping nothing was purged.
Evidence is collected as you operate, so the audit confirms controls you already run.
Eight pillars, from first log to last report.
build what you can, hand us the rest
The framework covers the whole detection lifecycle, from data ingestion through managed response. Build the parts you can and hand us the parts you cannot.
1. get the data in
Collect
SIEM Implementation and Data Ingestion
We deploy and configure your SIEM across endpoints, firewalls, cloud platforms, applications, identity systems and infrastructure. We design the ingestion architecture for scale, normalize logs into a common schema and enrich events with threat intelligence and asset context.
2. write the rules
Detect
Detection Engineering and Rule Development
We build custom detection rules mapped to MITRE ATT&CK and shaped around your environment, threat model and risk profile. Detection-as-code pipelines keep rules versioned, tested and deployed like software, and the rules evolve as threats do.
Cloud-Native Threat Detection
Detection logic written for cloud attack patterns: IAM abuse, cross-account pivots, container escapes, serverless exploitation and storage exfiltration. Each detection maps to the MITRE ATT&CK Cloud Matrix and is tuned to your estate across AWS, Azure and GCP.
3. act on what is real
Watch and respond
24/7 Monitoring and Alert Triage
Our team watches your environments around the clock. Every alert is enriched with asset data, user risk scores and threat intelligence before an analyst sees it, then prioritized and routed to the right team, so your people are paged for the things that matter.
Active Containment and Response
When we confirm a threat, we act. We isolate compromised workloads, revoke stolen credentials, block malicious network paths and terminate unauthorized resources, using the response actions you authorize during onboarding. That is the difference between managed response and managed alerting.
Threat Hunting and Forensics
We hunt for what does not trigger an alert: long-dwell compromises, privilege escalation chains and data leaving through legitimate channels. After containment we rebuild the attack timeline from CloudTrail, VPC flow logs, container events and application telemetry, and every investigation ends in a documented root cause report.
4. close the loop
Prove and improve
Compliance Reporting and Audit Ready
Reporting for SOC 2, PCI DSS, HIPAA and NIST 800-53 is automated, and evidence collection runs in the background. Regulatory incident reports are delivered within days, so an audit validates controls you already operate.
Continuous Improvement and Posture Hardening
Every incident teaches us something about your environment. We feed findings back into detection rules, recommend configuration changes and close the gaps attackers used. Detection logic keeps being refined from threat intelligence, so your posture improves between annual assessments.
From log collection to autonomous detection.
find your level
Every organization starts somewhere. The maturity model is a path from passive log collection, through managed detection, to detection operations that largely run themselves.
- L1
Detection Foundation
Log Collection and Visibility
Logs come in from some sources and nobody analyzes them. The SIEM is a repository with no detection, cloud providers raise native alerts that nobody watches consistently, and there is no compliance reporting. The first step is mapping what exists and designing data ingestion.
- Log source inventory and gap analysis
- Data ingestion architecture design
- Cloud environment discovery and mapping
- Baseline compliance assessment
- L2
Detection and Alerting
Rule-Based Detection
Detection rules fire on known attack patterns and alerts arrive daily. Cloud-native detections are tuned to your workloads, analysts investigate with enriched context and recommended actions, and false positives are actively managed. Compliance reporting is semi-automated.
- MITRE ATT&CK rule mapping
- Custom detection rule development
- Cloud-native detection deployment
- Alert enrichment pipeline
- L3
Full Managed Operations
Managed Detection and Response
CWS operates your detection program around the clock. We monitor, investigate and contain threats, and behavioral analytics baseline normal activity and flag anomalies. Authorized response actions run quickly, and your team gets daily briefings and post-incident reports.
- 24/7 SOC coverage by CWS
- Active containment and response execution
- Behavioral analytics deployment
- Automated compliance reporting
- L4
Autonomous SecOps
Autonomous Detection Operations
Detection rules keep being refined from threat intelligence. Proactive hunting uncovers risk before it becomes an incident, automated containment handles known patterns and posture hardening closes gaps early. The program improves over time without a matching rise in headcount.
- Continuous threat hunting
- Detection-as-code pipeline
- Automated containment for known patterns
- Continuous posture hardening
Where partners apply this first.
three common entry points
Common starting points for VARs, distributors and ISVs building detection and response practices for their customers. These are illustrative scenarios.
scenario 1
Financial services detection
A financial services firm deploys a SIEM across all of its sources, and we engineer detections mapped to MITRE ATT&CK. When a pattern shows up, such as unusual registry access followed by credential dumping, the SIEM correlates the events, raises the alert and orchestrates the response.
- Events correlated and answered by the SIEM
- Containment aimed at stopping data loss
- Forensics and a documented root cause report
scenario 2
Multi-cloud breach containment
A channel partner's customer runs workloads on AWS and Azure. An attacker uses a stolen Azure AD token to reach an AWS role through a federated trust. The managed SOC spots the cross-cloud lateral movement, revokes the federation trust and isolates the affected workloads in both clouds.
- Cross-cloud lateral movement caught and contained
- Affected workloads isolated in both clouds
- Full forensic timeline delivered afterwards
scenario 3
SaaS compliance automation
A software-as-a-service (SaaS) vendor selling to healthcare and finance customers needs SOC 2 proof. We implement the SIEM with cloud log integration and automated SOC 2 Type II reporting, so evidence is collected continuously and the audit moves faster.
- SOC 2 Type II evidence collected continuously
- Automated compliance reporting
- A shorter audit timeline
Want the detail on one engagement?
the service pages
- SIEM and Visibility Services SIEM optimization, detection engineering, and cloud logging.
From first log to full SOC.
Build a detection-as-code SIEM and scale into a managed cloud SOC. One program, one partner, every level of maturity.
Frameworks and practices: MITRE ATT&CK, NIST 800-53, SOC 2, Detection-as-Code, NIST IR