Advanced Prevention Technologies

Artificial Intelligence and Machine Learning

AI-Powered Threat Detection

• Behavioral analysis of file and system activities
• Pattern recognition for unknown ransomware variants
• Predictive modeling for attack likelihood
• Automated response and mitigation actions
• Continuous learning and adaptation capabilities

Machine Learning Applications

• Anomaly detection in network and system behavior
• Classification of malicious and legitimate activities
• Risk scoring and prioritization algorithms
• Natural language processing for threat intelligence
• Computer vision for malware analysis

Deception Technologies

Honeypots and Decoy Systems

• Attractive targets for ransomware operators
• Early warning systems for attack detection
• Threat intelligence gathering capabilities
• Automated response triggering
• Forensic evidence collection

Canary Files and Tokens

• Specially crafted files that trigger alerts when accessed
• Network tokens that detect lateral movement
• Database records that identify data access
• Email addresses that catch spam and phishing
• API keys that detect unauthorized usage

Immutable Infrastructure

Infrastructure as Code (IaC)

• Version-controlled infrastructure definitions
• Automated deployment and configuration
• Consistent and repeatable system builds
• Rapid recovery and replacement capabilities
• Reduced attack surface through standardization

Container Security

• Immutable container images and configurations
• Runtime protection and monitoring
• Container registry security and scanning
• Orchestration platform hardening
• Network segmentation for containerized applications