Product Requirements Document (PRD)¶

Event Logger - Windows Event Log Analysis Platform¶

1. Executive Summary¶

Product Vision¶

Event Logger is a comprehensive Windows Event Log analysis platform that bridges the gap between raw security data and actionable insights. It empowers security professionals, IT administrators, and cybersecurity students with powerful tools to explore, analyze, and respond to security events in real-time.

Problem Statement¶

Organizations face increasing challenges in:

  • Managing and analyzing massive volumes of Windows Event Logs

  • Identifying security threats hidden in log data

  • Training security personnel on log analysis

  • Responding quickly to security incidents

  • Meeting compliance requirements for log retention and analysis

Solution Overview¶

Event Logger provides an intuitive, web-based platform that transforms complex Windows Event Logs into actionable intelligence through advanced search capabilities, interactive dashboards, automated alerting, and comprehensive reporting.

2. Goals and Objectives¶

Primary Goals¶

  1. Simplify Log Analysis: Make Windows Event Log analysis accessible to users of all skill levels

  2. Accelerate Threat Detection: Reduce mean time to detect (MTTD) security incidents

  3. Enable Proactive Security: Support threat hunting and proactive security monitoring

  4. Educational Excellence: Serve as a comprehensive training platform for cybersecurity education

  5. Compliance Support: Facilitate compliance with regulatory requirements

Success Metrics¶

  • Reduce average time to identify security incidents by 60%

  • Achieve 95% user satisfaction rating

  • Support analysis of 1M+ events per day

  • Enable detection of 90% of common attack patterns

  • Reduce compliance reporting time by 75%

3. Target Audience¶

Primary Users¶

  1. Security Analysts

    • Monitor security events in real-time

    • Investigate security incidents

    • Hunt for threats proactively

  2. IT Administrators

    • Monitor system health and performance

    • Troubleshoot issues

    • Track user activities

  3. Cybersecurity Students

    • Learn Windows Event Log analysis

    • Practice incident response

    • Understand attack patterns

  4. Compliance Officers

    • Generate compliance reports

    • Audit user activities

    • Document security controls

User Personas¶

Sarah - Senior Security Analyst¶

  • Background: 5 years in cybersecurity, certified in incident response

  • Goals: Quickly identify and respond to security threats

  • Pain Points: Current tools are complex and slow

  • Needs: Powerful search, automated alerts, correlation capabilities

Mike - IT Administrator¶

  • Background: 3 years managing Windows infrastructure

  • Goals: Keep systems running smoothly, troubleshoot issues quickly

  • Pain Points: Difficult to track user activities across systems

  • Needs: Simple interface, clear visualizations, export capabilities

Emma - Cybersecurity Student¶

  • Background: Computer Science major, learning security

  • Goals: Gain practical experience with real security tools

  • Pain Points: Limited access to enterprise security tools

  • Needs: Educational resources, guided workflows, safe environment

4. Functional Requirements¶

4.1 Core Features¶

Event Log Collection¶

  • Real-time Ingestion: Collect logs from multiple Windows systems

  • Agent-based Collection: Lightweight Python agent for log forwarding

  • Batch Processing: Support for bulk log imports

  • Format Support: Native Windows Event Log formats (EVTX, XML, JSON)

Search and Query¶

  • KQL Support: Full Kusto Query Language implementation

  • Advanced Filtering: Multi-criteria filtering (Event ID, Source, Time, etc.)

  • Saved Searches: Store and share common queries

  • Query Builder: Visual query construction for beginners

Dashboard System¶

  • Pre-built Dashboards:

    • Security Overview

    • Authentication Monitoring

    • Malware Defense

    • Insider Threat Detection

    • Supply Chain Risk

    • CASB Integration

  • Custom Dashboards: Drag-and-drop dashboard builder

  • Real-time Updates: Live data refresh

  • Widget Library: Extensible visualization components

Alert Management¶

  • Rule Engine: Create custom alert rules

  • Severity Levels: Critical, High, Medium, Low classifications

  • Alert Actions: Email, webhook, SIEM integration

  • Alert History: Searchable alert archive

  • Threshold Monitoring: Dynamic baseline detection

Visualization¶

  • Time Series Charts: Event trends over time

  • Top N Analysis: Most frequent events, users, systems

  • Correlation Graphs: Relationship mapping

  • Heat Maps: Activity intensity visualization

  • Timeline Views: Chronological event sequences

Reporting¶

  • Report Templates: Pre-built compliance and security reports

  • Custom Reports: Flexible report builder

  • Scheduled Reports: Automated report generation and delivery

  • Export Formats: PDF, CSV, JSON, XML

  • Executive Dashboards: High-level summaries for management

4.2 Advanced Features¶

Threat Intelligence Integration¶

  • OTX Feeds: AlienVault OTX integration

  • IOC Matching: Automatic indicator of compromise detection

  • Threat Scoring: Risk-based event prioritization

  • External Lookups: IP reputation, file hash analysis

Machine Learning (Future)¶

  • Anomaly Detection: Baseline deviation identification

  • Pattern Recognition: Attack pattern identification

  • Predictive Analytics: Threat forecasting

  • Behavioral Analysis: User and entity behavior analytics (UEBA)

Integration Capabilities¶

  • SIEM Integration: Export to Splunk, QRadar, Sentinel

  • API Access: RESTful API for third-party integration

  • Webhook Support: Event-driven notifications

  • LDAP/AD Integration: User authentication and enrichment

5. Non-Functional Requirements¶

Performance¶

  • Ingestion Rate: 10,000 events/second minimum

  • Query Response: < 2 seconds for common queries

  • Dashboard Load: < 3 seconds initial load

  • Concurrent Users: Support 100+ simultaneous users

  • Data Retention: 90 days online, 1 year archived

Security¶

  • Authentication: Multi-factor authentication support

  • Authorization: Role-based access control (RBAC)

  • Encryption: TLS 1.3 for transit, AES-256 for storage

  • Audit Trail: Complete user activity logging

  • Data Privacy: PII masking and GDPR compliance

Scalability¶

  • Horizontal Scaling: Distributed architecture support

  • Cloud Native: Kubernetes deployment ready

  • Multi-tenancy: Isolated customer environments

  • Load Balancing: Automatic request distribution

Reliability¶

  • Uptime: 99.9% availability SLA

  • Backup: Automated daily backups

  • Disaster Recovery: < 4 hour RTO

  • Failover: Automatic failover capabilities

Usability¶

  • Response Time: < 200ms UI interactions

  • Browser Support: Chrome, Firefox, Safari, Edge

  • Mobile Responsive: Tablet and phone compatibility

  • Accessibility: WCAG 2.1 AA compliance

6. Technical Architecture¶

Frontend¶

  • Framework: Next.js 15 with App Router

  • Language: TypeScript

  • Styling: Tailwind CSS

  • State Management: React Context + Zustand

  • Charts: Recharts

  • Build Tool: Turbopack

Backend¶

  • API: RESTful + GraphQL (future)

  • Database: PostgreSQL (via Supabase)

  • Caching: Redis

  • Message Queue: RabbitMQ

  • Search Engine: Elasticsearch (future)

Agent¶

  • Language: Python 3.8+

  • Protocol: HTTPS + WebSocket

  • Compression: Gzip

  • Buffering: Local SQLite

Infrastructure¶

  • Deployment: Docker + Kubernetes

  • Monitoring: Prometheus + Grafana

  • Logging: ELK Stack

  • CI/CD: GitHub Actions

7. User Interface Design¶

Design Principles¶

  1. Clarity: Information hierarchy and clear navigation

  2. Efficiency: Minimal clicks to common actions

  3. Consistency: Unified design language

  4. Feedback: Clear system status and responses

  5. Flexibility: Customizable to user preferences

Key Screens¶

Dashboard¶

  • Widget-based layout

  • Drag-and-drop customization

  • Real-time data updates

  • Quick action buttons

Event Explorer¶

  • Powerful search bar

  • Filterable results table

  • Event detail sidebar

  • Bulk actions toolbar

Alert Center¶

  • Priority-sorted alert list

  • Alert details modal

  • Action buttons

  • Historical trends

Reports¶

  • Template gallery

  • Report builder

  • Schedule manager

  • Export options

8. Implementation Roadmap¶

Phase 1: MVP (3 months)¶

  • Basic event ingestion

  • Simple search functionality

  • Core dashboards

  • Manual alerts

  • Basic reporting

Phase 2: Enhanced Features (3 months)¶

  • Advanced KQL search

  • Custom dashboards

  • Automated alerts

  • Scheduled reports

  • API development

Phase 3: Advanced Analytics (3 months)¶

  • Threat intelligence integration

  • Correlation engine

  • Advanced visualizations

  • SIEM integrations

  • Performance optimization

Phase 4: Enterprise Features (3 months)¶

  • Multi-tenancy

  • Machine learning features

  • Advanced integrations

  • Compliance packages

  • High availability

9. Success Criteria¶

Launch Criteria¶

  • Successfully process 1M events without errors

  • Pass security audit

  • Achieve < 3 second page load times

  • Complete user acceptance testing

  • Documentation complete

Post-Launch Metrics¶

  • User adoption rate > 80%

  • Customer satisfaction score > 4.5/5

  • System uptime > 99.9%

  • Support ticket reduction > 50%

  • Training completion rate > 90%

10. Risks and Mitigation¶

Technical Risks¶

  1. Performance at Scale

    • Risk: System slowdown with large datasets

    • Mitigation: Implement efficient indexing and caching

  2. Data Loss

    • Risk: Critical log data could be lost

    • Mitigation: Implement redundancy and backups

Business Risks¶

  1. User Adoption

    • Risk: Users resist change from current tools

    • Mitigation: Comprehensive training and migration support

  2. Competition

    • Risk: Established SIEM vendors

    • Mitigation: Focus on ease of use and education features

Security Risks¶

  1. Data Breach

    • Risk: Sensitive log data exposure

    • Mitigation: Strong encryption and access controls

  2. Insider Threats

    • Risk: Misuse by authorized users

    • Mitigation: Audit logging and anomaly detection

11. Dependencies¶

External Dependencies¶

  • Windows Event Log APIs

  • Threat intelligence feeds

  • Cloud infrastructure providers

  • Third-party integrations

Internal Dependencies¶

  • Development team availability

  • Security team reviews

  • Infrastructure provisioning

  • Training material creation

12. Assumptions and Constraints¶

Assumptions¶

  • Users have basic Windows Event Log knowledge

  • Network connectivity is reliable

  • Windows systems support modern APIs

  • Users have modern web browsers

Constraints¶

  • Initial budget of $500K

  • Team of 5 developers

  • 12-month timeline

  • Must support Windows Server 2016+

13. Appendices¶

A. Glossary¶

  • KQL: Kusto Query Language

  • SIEM: Security Information and Event Management

  • IOC: Indicator of Compromise

  • MTTD: Mean Time to Detect

  • UEBA: User and Entity Behavior Analytics

C. Competitive Analysis¶

  • Splunk: Enterprise SIEM leader

  • Elastic SIEM: Open-source alternative

  • Azure Sentinel: Cloud-native SIEM

  • Event Logger Differentiators:

    • Education-focused features

    • Simplified user interface

    • Windows Event Log specialization

    • Affordable pricing model

Document Version: 1.0
Last Updated: January 2024
Author: Product Management Team
Status: Draft for Review