Custom LLM WAF (Backend)

Next-generation backend protection with quantized LLM intelligence and session-level behavioral analysis for enterprise-grade security.

Request a Demo GitHub

Theater Defense Architecture

Our Custom LLM WAF implements a revolutionary three-layer defense strategy that enhances existing infrastructure without replacement, providing comprehensive protection against sophisticated threats.

1

Existing WAF Layer

Cloudflare/F5 Protection

  • Global threat intelligence
  • DDoS protection
  • Basic attack blocking
  • Signature-based detection
2

ModSecurity Engine

Industry Standard Rules

  • Complete CRS rule set (200+ rules)
  • Industry-standard protection
  • Local backup protection
  • Proven security framework
3

Session Intelligence

Our Innovation

  • Real-time behavioral analysis
  • Quantized LLM for zero-day detection
  • Geographic anomaly detection
  • Session fingerprinting & tracking

Technical Architecture

Nginx Plugin with transparent integration - seamlessly deployed without disrupting existing infrastructure.

Internet

Incoming traffic

→

Cloudflare WAF

Layer 1 Protection

→

Nginx + Our Plugin

Session Intelligence

→

Application Server

Protected Backend

Session Intelligence Process

1
Fingerprint Creation

IP + User Agent + Headers + Geolocation

2
Behavioral Tracking

Request patterns, timing, geographic consistency

3
Risk Scoring

Bayesian model + LLM analysis

4
Real-Time Action

Allow/Block/Challenge suspicious sessions

Advanced Capabilities

Unique features that set our Custom LLM WAF apart from traditional solutions.

Geographic Anomalies

Detects impossible geographic patterns like the same session appearing simultaneously from London and Mumbai.

Example: Session hijacking detection when legitimate user session from Mumbai is used from London 2 minutes later.

Behavioral Patterns

Analyzes request timing, frequency, and sequence patterns to identify automated and malicious behavior.

Example: Sophisticated SQL injection spread across multiple requests to avoid rate limits.

Zero-Day Detection

Quantized LLM identifies novel attack patterns not covered by traditional signature-based systems.

Example: New XSS techniques using legitimate-looking JavaScript patterns.

Intelligent Rate Limiting

Time-windowed request analysis with context-aware throttling based on session behavior.

Example: Dynamic rate adjustment based on user behavior patterns and risk scores.

Session Hijacking Prevention

Real-time detection of compromised sessions through advanced fingerprinting and consistency checks.

Example: Immediate flagging when session characteristics change unexpectedly.

Attack Scenarios We Detect

Real-world examples of sophisticated attacks that traditional WAFs miss but our system catches.

Session Hijacking

Traditional WAF: MISS Our Solution: CAUGHT

Attack Pattern:

  • Legitimate user session from Mumbai
  • Same session ID used from London 2 minutes later
  • Traditional WAF: Allows both (individual requests look clean)
  • Our Detection: Geographic impossibility flagged immediately

Sophisticated SQL Injection

Traditional WAF: MISS Our Solution: CAUGHT

Attack Pattern:

  • Attacker uses encoded payloads to bypass signature detection
  • Spreads attack across multiple requests to avoid rate limits
  • Traditional WAF: Individual requests pass signature checks
  • Our Detection: Session behavioral pattern + LLM analysis catches novel encoding

Zero-Day XSS

Traditional WAF: MISS Our Solution: CAUGHT

Attack Pattern:

  • New XSS technique not in ModSecurity rules
  • Attack uses legitimate-looking JavaScript patterns
  • Traditional WAF: No signature match, allows through
  • Our Detection: LLM recognizes malicious intent pattern

Enterprise-Grade Performance

Minimal impact, maximum protection with industry-leading performance metrics.

<2ms
Average Latency Impact
50MB
Per 10K Active Sessions
<5%
CPU Overhead
50K+
Requests/Second
Kubernetes-Native

Horizontal scaling with session affinity

SQLite3 Optimization

Memory-efficient real-time session data

High Availability

Multiple instances with graceful failover

Why Enterprises Choose Our Solution

Comprehensive benefits across security, operations, and compliance.

Security Benefits

  • Catch sophisticated attacks that bypass traditional WAFs
  • Zero-day attack detection capability
  • Complete defense-in-depth strategy
  • No single point of failure

Operational Benefits

  • No disruption to existing security stack
  • Maintains all current logging and procedures
  • Easy pilot deployment and rollback
  • Kubernetes-native architecture

Compliance Benefits

  • No permanent PII storage
  • Audit-friendly ephemeral data
  • Industry-standard ModSecurity rules
  • SOC2, ISO 27001, GDPR compliant

Risk-Free Pilot Program

Evaluate our solution with a comprehensive 90-day pilot program designed to demonstrate value without risk.

Phase 1: Observation

30 Days

Logging-Only Mode

  • Deploy plugin in observation mode
  • Compare detections with existing WAF alerts
  • Demonstrate gap coverage without blocking traffic
  • Baseline performance metrics
→

Phase 2: Active Protection

60 Days

Controlled Blocking

  • Enable blocking for high-confidence threats
  • Monitor false positive rates
  • Fine-tune behavioral models
  • Complete audit trail analysis

Success Metrics

Additional Threats Detected

vs. existing WAF performance

Zero False Positives

on legitimate traffic

<2ms Average Latency

minimal performance impact

Complete Audit Trail

of all security decisions

Our Competitive Advantage

The only solution combining traditional WAF protection with advanced session intelligence.

Feature Traditional WAFs Cloud WAFs Custom LLM WAF
Signature Detection
Session Intelligence
Geographic Anomalies
Zero-Day Detection Limited
Local Processing
Privacy Compliant
Deployment Flexibility Limited

Ready to Experience Next-Gen Backend Security?

Join organizations worldwide that trust Bayesian Cybersecurity to protect their critical infrastructure with our Custom LLM WAF solution.

Start Your Pilot Program Learn Technical Details
2-week deployment
Risk-free evaluation
Full technical support