Project Scope, MVP Features & Success Metrics
A summary of ShieldCraft AI's project scope, MVP features, and success metrics. This document is standardized for Docusaurus display and clarity.
Project Scope
- Build an AI-powered, modular security platform for threat detection, analysis, and response
- Focus on explainable GenAI, automation, and compliance-first design
- Integrate with common security data sources (logs, threat feeds, cloud events)
- Provide APIs and UI for security analysts and managers
- Support rapid onboarding and extensibility for new data sources and workflows
- Link to: Business Case, User Profiles, Project Objective
MVP Features
- Data Ingestion: Modular pipelines for logs, threat feeds, and cloud events
- Threat Detection: GenAI-powered detection with explainable outputs
- Alert Triage: Automated prioritization and enrichment of alerts
- Analyst Dashboard: UI for reviewing, investigating, and closing alerts
- Audit & Compliance: Automated evidence collection and reporting
- API Access: REST API for integration with existing tools
- Security & Privacy: Role-based access, audit trails, and compliance controls
- Deployment: Dockerized services and Compose for local/dev, cloud-ready for production
Success Metrics
- Time to MVP: 90% true positive rate on test data
- MTTD/MTTR Reduction: 50% faster than baseline/manual process
- User Adoption: At least 3 pilot teams using the platform in the first quarter
- Compliance Readiness: Automated evidence for at least 2 major frameworks (e.g., SOC2, GDPR)
- Feedback Loops: Analyst feedback incorporated into model/workflow improvements within 2 weeks
- System Uptime: > 99% during pilot
Next Steps
- Review and validate scope/features/metrics with stakeholders
- Refine MVP backlog and delivery plan
- Proceed to: Clear, business-aligned project objective documented in the Checklist