How EvolveSafe Protects You
Our five-step security process combines lightning-fast local analysis with powerful cloud intelligence, creating an adaptive system that learns from every threat while protecting your privacy.
The Five-Step Protection Process
Every webpage you visit goes through our sophisticated analysis pipeline in milliseconds, ensuring comprehensive protection without slowing you down.
Every webpage is instantly scanned for suspicious behavior patterns, URL structures, and content indicators.
Our lightweight scanner analyzes DOM structure, JavaScript behavior, and visual elements in real-time.
Complete Protection Flow
Page Analysis
Every webpage is instantly scanned for suspicious behavior patterns, URL structures, and content indicators.
Local AI Decision
On-device machine learning models make instant decisions about potential threats without sending data.
Cloud Analysis
For uncertain cases, anonymized snapshots are sent to our cloud for deeper analysis.
User Protection
Users are immediately alerted or protected from identified threats with clear explanations.
Feedback Loop
Threat data is fed back to retrain detection models, making protection stronger over time.
Technical Architecture
A distributed architecture that balances performance, privacy, and protection across browser, local device, and cloud infrastructure.
Lightweight extension that integrates seamlessly with your browser
- Manifest V3 compliance
- Minimal memory footprint
- Real-time DOM monitoring
- Event-driven architecture
On-device machine learning for instant threat detection
- TensorFlow Lite models
- WebAssembly optimization
- <10ms response time
- Offline capability
Advanced analysis for complex and evolving threats
- Deep learning models
- Real-time threat feeds
- Pattern recognition
- Behavioral analysis
End-to-end encryption and privacy-preserving technologies
- Zero personal data storage
- Anonymous telemetry
- AES-256 encryption
- Local data processing
Continuously updated threat intelligence and indicators
- Real-time updates
- Community contributions
- ML-generated indicators
- Historical analysis
Central security orchestration and decision engine
- Risk scoring
- Context analysis
- False positive reduction
- Adaptive learning
Data Flow & Privacy Protection
Local Processing
95% of analysis happens locally on your device. No browsing data leaves your computer.
Anonymous Cloud Analysis
Only suspicious patterns are sent to the cloud, completely anonymized and encrypted.
Community Intelligence
Threat indicators are shared anonymously to protect the entire community.
Security Features & Capabilities
Comprehensive protection across multiple threat vectors with transparent performance metrics and privacy guarantees.
Advanced Security Capabilities
Machine Learning Pipeline
Our ML pipeline continuously learns from new threats, adapting to emerging attack patterns without manual updates.
- Real-time model updates
- Federated learning architecture
- Zero-day threat detection
Global Threat Intelligence
Community-powered threat sharing creates a global defense network that protects everyone simultaneously.
- Anonymous threat indicators
- Real-time IOC distribution
- Collaborative defense network