Baseline the mission
We confirm authority, scope boundaries, data classification, stakeholders, critical assets and acceptance criteria before work begins.
// MANAGED DETECTION & RESPONSE24/7 detection,
24/7 detection,
powered by our own ML.
Managed detection and response built on our in-house AI/ML threat-detection platform — a 5-model ensemble plus a 4,098+ rule Sigma engine, correlating telemetry across cloud, endpoint and network in real time.
5-Model ML EnsembleSigma Rule Engine24/7 MonitoringAutomated Playbooks
≥92%MTTR reduction in benchmark (vs 58.8% POC baseline)
33msP95 API latency under load test
20/20Attack scenarios detected in internal testing
5Telemetry sources correlated
// HOW IT WORKS
Detection engineered, not just outsourced.
Most MDR providers resell a third-party SIEM. Ours is built on a detection platform we engineer ourselves — Isolation Forest, UEBA, time-series and GNN attack-path models running alongside a 4,098+ rule Sigma engine, normalizing telemetry from CloudTrail, Sysmon, Zeek, Suricata and NetFlow through the Open Cybersecurity Schema Framework. In validated testing across 20 attack scenarios, it cut Mean Time to Respond by ≥92% with 100% detection.
// DELIVERY STANDARD
Built for decisions, evidence and accountable execution.
Whether this is a commercial engagement or a government program, the work is structured so technical teams can act and leadership can verify progress.
Run with traceability
Specialists follow an agreed evidence-led plan with checkpoints, escalation paths and an auditable record of decisions and actions.
Transfer capability
You receive a leadership readout, technical evidence, prioritized actions, residual-risk decisions and a structured close-out workshop.
// PROJECT OUTPUTS
What your team can take into the next review.
- Statement of work and scope register
- Technical findings with evidence and traceability
- Risk-rated remediation / POA&M register
- Executive decision brief and close-out workshop
// BUILT FOR
Designed around the people who own the outcome.
- CISOs and security leadership
- IT, engineering and operations teams
- Risk, compliance and procurement teams
- Government and regulated program owners
5-Model ML Ensemble
Isolation Forest, signature-based detection, UEBA, time-series anomaly detection and a GNN attack-path predictor, working together.
Sigma Rule Engine
4,098+ community detection rules, compiled and matched in real time against normalized OCSF telemetry.
Cross-Source Correlation
Groups related alerts from CloudTrail, Sysmon, Zeek, Suricata and NetFlow into a single incident instead of five noisy tickets.
Automated Response Playbooks
Ransomware, exfiltration, lateral movement, credential compromise and DDoS playbooks execute containment automatically, with human approval gates.
Threat Hunting
DSL-based, cron-scheduled hunts search historical telemetry for indicators that automated detection alone would miss.
24/7 Monitoring
Continuous coverage with calibrated, context-aware severity — so your team sees fewer, higher-confidence alerts.
Frequently Asked Questions
What is MDR and how is it different from a SIEM?
A SIEM collects and displays your security data; MDR is a managed service that actively monitors that data, investigates alerts, and responds to real threats on your behalf, 24/7.
What telemetry sources does the platform support?
CloudTrail (AWS), Sysmon (Windows endpoints), Zeek and Suricata (network), and NetFlow, all normalized into the Open Cybersecurity Schema Framework (OCSF) for consistent, cross-source correlation.
Does the platform replace our existing tools, or work alongside them?
It's designed to ingest telemetry from your existing stack and correlate it centrally — you don't need to rip out existing tools to benefit from the detection and response layer.
Let's build together
See the platform detect a live attack scenario.
Book a free 30-minute consultation with our engineering team — no obligation, just a clear, practical plan.