# Watchman Case Study

Watchman is a next-generation security operations (SecOps) platform delivering real-time threat detection, event stream telemetry, and automated incident triage for enterprise defense teams.

# Watchman

Watchman is a next-generation security operations (SecOps) platform delivering real-time threat detection, event stream telemetry, and automated incident triage for enterprise defense teams.

We engineered the high-velocity event monitoring dashboard, live alert triage flows, and rapid response playbook execution engine.

- **Client**: Watchman Security
- **Industry**: Cybersecurity
- **Year**: 2026
- **Stage**: MVP → Production
- **Engagement**: 6 months
- **Services**: UX/UI Design, Full-Stack Engineering, Security Architecture
- **Stack**: React, TypeScript, Rust, Kafka, TimescaleDB
- **Results**: Sub-5-minute mean time to detect (MTTD) across 2,500+ events per minute with automated triage playbooks
## The challenge

Security analysts were flooded by tens of thousands of alert notifications per day, causing alert fatigue and delayed responses to critical security incidents.

- Ingest and correlate high-velocity telemetry across endpoints, clouds, and identity providers

- Distinguish active security compromises from benign anomalies in seconds

- Automate containment actions like credential revocation and endpoint isolation

## How we structured it

We designed the interface and event architecture around rapid triage and mitigation:

Detect → Correlate → Contain

### Detect

Ingest and evaluate 2,500+ events per minute against threat detection baselines.

### Correlate

Group related indicators into unified security incident timelines.

### Contain

Trigger one-click automated response playbooks to isolate compromised hosts.

## What we built

### Real-time threat telemetry

Sub-second event volume monitoring comparing live alerts against operational baselines.

### Threat category breakdown

Instant threat distribution across malware, brute force, exfiltration, and privilege escalation.

### Automated response playbooks

Automated endpoint isolation, memory dump analysis, and credential reset workflows.

## The outcome

- **Mean time to detect**: 4.2m
- Mean time to detect
- **Events processed**: 2.5k/m
- Events processed
- Immediate analyst actionability with dark-mode, high-density SOC interface

- Automated isolation of compromised infrastructure within seconds of detection

## Work with us

Have a complex product to build? Tell us what you’re building. Book a call, or email us whenever it suits.

[Book a call](https://cal.com/vanshpatelai/15min)

[remotevansh@gmail.com](mailto:remotevansh@gmail.com)

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