Intelligent Cloud Threat Prediction Engine

Introduction: Overview of AI-powered predictive cloud threat detection.

Background: Need for proactive defense against evolving cloud attacks.

Problem Statement: Traditional reactive security fails against dynamic cyber threats.

Objectives: Forecast threats, reduce breaches, and enhance response speed.

Proposed System Architecture: ML engine + threat intelligence + anomaly analysis modules.

Data Collection & Preprocessing: Aggregating multi-cloud logs and sanitizing inputs.

Machine Learning Techniques: Deep learning & probabilistic models for threat prediction.

Evaluation Metrics: Accuracy, false-positive rate, detection latency benchmarks.

Conclusion: Ensures proactive, intelligent, and scalable cloud security defense