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PROJECT_02 · CASE FILE OPEN
PRECRIME — Predictive AI Cyber Defense
An enterprise-grade AI platform that detects cyber attacks before they cause damage. PRECRIME predicts suspicious activity, scores risk, and provides explainable recommendations — moving IDS from reactive to predictive.
Pythonscikit-learnTensorFlow/KerasPandasNumPyFlaskReactCIC-IDS2017
/threat
Problem Statement
Traditional Intrusion Detection Systems suffer from false positives, slow response, lack of explainability, and difficulty adapting to new attack patterns.
/mission
Objective
Build an intelligent cybersecurity platform combining Machine Learning, Deep Learning, Explainable AI, and Real-Time Threat Intelligence.
/pipeline
System Architecture
- 01→Network Traffic
- 02→Packet Capture
- 03→Feature Extraction
- 04→Preprocessing
- 05→Machine Learning
- 06→Deep Learning
- 07→Threat Detection
- 08→Threat Score
- 09→Explainable AI
- 10→Analyst Dashboard
/data
Dataset
CIC-IDS2017: Benign, DDoS, DoS, Botnet, Brute Force, Port Scan, Web Attacks, Infiltration, Heartbleed
/models
AI Models
Random ForestXGBoostLightGBMNeural NetworksLSTMAutoencoderIsolation Forest
/capabilities
Core Features
Detection & Analytics
Real-Time Packet MonitoringThreat ClassificationAttack PredictionRisk ScoringBehavior Analytics
Explainability & UX
Explainable AI (XAI)Interactive DashboardAlert SystemSecurity ReportsAttack Visualization
Dashboard Widgets
Live TrafficThreat LevelAttack TypeRisk ScoreHistorical AnalysisAttack TimelineNetwork GraphAI Confidence
/next
Future Roadmap
Cloud SecuritySIEM IntegrationSOAR IntegrationZero TrustThreat Intelligence APIsDark Web MonitoringLLM Security AssistantAutonomous Incident ResponseFederated LearningGenerative AI Security