Multi-Signal Detection
Our sophisticated detection system combines 11 specialized methods to identify bots with precision. From lightning-fast pattern matching to advanced AI analysis, each detector contributes unique insights.
<1ms Response Time
User-Agent Analysis
Pattern matching against thousands of known bot signatures. Identifies crawlers, scrapers, and automated tools by their browser fingerprint.
Header Inspection
Analyzes HTTP headers for suspicious patterns. Catches bots missing Accept-Language, cookies, or other headers that real browsers always send.
Datacenter IP Detection
Identifies traffic from cloud hosting providers and datacenter IP ranges. Real users browse from ISPs, not AWS or Digital Ocean.
Version Staleness
Detects outdated browser and OS versions that real users rarely use. Bots often pretend to be old Chrome versions that stopped updating years ago.
Security Tool Detection
Identifies penetration testing tools like Nikto, sqlmap, Burp Suite, and vulnerability scanners. Blocks malicious reconnaissance instantly.
1-5ms Response Time
Behavioral Analysis
Monitors request patterns, timing, and interaction sequences. Detects automated behavior like inhuman clicking speeds or robotic browsing patterns.
Cross-Signal Inconsistency
Catches mismatches between different signals. Like claiming to be Safari on Windows, or mobile Chrome without touch events. Bots often fake one thing but forget others.
JavaScript Fingerprinting
Browser-side detection that headless browsers can't fake. Tests for WebGL, canvas fingerprinting, and JavaScript execution that automated tools struggle to replicate.
Intelligent Analysis
Heuristic AI Model
Lightning-fast machine learning model that weighs all detection signals to produce a confidence score. Learns from every detection to improve accuracy over time.
Key Features:
- Sub-millisecond feature extraction
- Continuous weight learning from feedback
- Drift detection prevents model degradation
- Adapts to new bot tactics automatically
LLM Deep Analysis
Full reasoning engine for complex cases. When standard detectors are uncertain, the LLM analyzes all evidence with human-like understanding to make the final call.
Use Cases:
- Sophisticated bot spoofing attempts
- Borderline cases needing context
- Novel attack patterns
- Training data for heuristic model
Advanced Detection & StyloWall
Advanced Heuristic Models
Enhanced ML models with deeper feature extraction, more sophisticated pattern recognition, and industry-specific tuning for maximum accuracy.
Cloud LLM Analysis
Access to powerful cloud-based LLMs (OpenAI, Anthropic, etc.) for the most sophisticated reasoning and pattern detection across all traffic.
Enhanced Fingerprinting
Advanced browser fingerprinting techniques including TLS analysis, TCP/IP stack fingerprinting, and multi-layer identity correlation.
Threat Intelligence
Project Honeypot
Checks IP reputation against the global Project Honeypot database via HTTP:BL DNS lookup. Identifies known malicious IPs from spam, harvesting, and attacks.
How It All Works Together
Multi-layer defense with intelligent orchestration
Fast Detectors Run First
Lightning-fast checks (<1ms) catch obvious bots immediately
Behavioral Analysis
Pattern and consistency checks for suspicious behavior
Heuristic AI Scoring
ML model weighs all signals to produce confidence score
LLM Escalation (If Needed)
Complex cases get deep reasoning analysis
Continuous Learning
Feedback improves future detections automatically
Built on a Common Core
StyloBot and StyloWall share the same powerful detection engine. Choose the package that fits your needsāor use both together.
StyloBot
Web Application Firewall Pack
Specialized bot detection and blocking for web applications. Protects HTTP/HTTPS endpoints with intelligent traffic analysis, behavioral detection, and zero-PII approach.
StyloWall
Universal Firewall Pack
Protect any port, any protocol, any endpoint. Advanced semantic firewall with AI honeypot, intrusion detection, and real-time threat characterization for hacking attempts.
Same Core, Different Focus
Both products are built on the powerful StyloFlow coreāthe same detection engine, workflow system, and zero-config philosophy. StyloBot specializes in web application protection, while StyloWall extends protection to any network service.
Ready for Multi-Layer Protection?
See how our detection methods work together to stop bots