Precision Control Through Smart Lists & Rules
Deploy sophisticated allow/block lists and custom pattern matching with enterprise-grade rule engines. Leverage curated threat intelligence and create domain-specific controls for ultimate security precision.
Enterprise-Grade Rule Management
Curated Threat Intelligence
Access FireHOL reputation feeds, Tor exit nodes, VPN endpoints, and cloud provider ranges for comprehensive threat coverage.
- 500M+ threat IPs
- Daily intelligence updates
- Multiple threat categories
Advanced Pattern Matching
Create sophisticated regex patterns, fuzzy matching rules, and multi-condition logic with built-in testing and validation.
- Regex validation engine
- Fuzzy string matching
- Multi-condition rules
Version Control & Rollbacks
Track all rule changes with full audit trails, staged deployments, and instant rollbacks for production safety.
- Full change history
- Staged deployments
- One-click rollbacks
Intelligent Rule Engine Architecture
Our rule engine combines multiple data sources and matching algorithms for comprehensive threat coverage and precision control.
Multi-Source Intelligence
FireHOL Reputation Lists
Comprehensive IP reputation data from multiple threat intelligence sources
- • Malware C&C servers
- • Botnet participants
- • Attack sources
- • Compromised hosts
Infrastructure Detection
Identify and categorize infrastructure providers and proxy services
- • Tor exit nodes
- • VPN endpoints
- • Cloud provider ranges
- • Hosting providers
Custom Allow Lists
Maintain trusted sources and approved patterns for your organization
- • Trusted IP ranges
- • Approved domains
- • Partner networks
- • Internal services
Smart Pattern Engine
# Example Rule Configuration
rules:
- name: "Block Suspicious Domains"
type: "regex"
pattern: ".*\.(tk|ml|ga|cf)$"
action: "block"
priority: 100
- name: "Allow Corporate VPN"
type: "cidr"
pattern: "192.168.1.0/24"
action: "allow"
priority: 200
- name: "Detect Command Injection"
type: "fuzzy"
patterns: [
"rm -rf",
"wget | sh",
"curl | bash"
]
threshold: 0.8
action: "alert"Target Application Scenarios
Financial Services Use Case
Designed for banks to block requests from known fraud networks and high-risk countries while maintaining smooth operations for legitimate customers.
Solution: FireHOL threat lists + custom geographic rules
Target: 85%+ reduction in fraud attempts, <0.1% false positive rate
EdTech Platform Scenario
Built for education platforms to protect student data by blocking AI requests containing academic misconduct patterns while allowing legitimate research queries.
Solution: Custom regex patterns + contextual analysis
Target: 90%+ accuracy in misconduct detection while preserving academic freedom
SaaS Startup Use Case
Designed for growing SaaS companies to implement tiered access controls, blocking free tier abuse while ensuring premium customers get unrestricted access to AI features.
Solution: Dynamic rules based on user tier + usage patterns
Goal: Significant reduction in abuse while improving premium conversion
Healthcare AI Scenario
Built for healthcare AI platforms to use geographic and provider-based rules ensuring HIPAA compliance while blocking requests from non-authorized regions and networks.
Solution: IP geolocation + healthcare provider allow lists
Target: 100% compliance with optimized request processing
Performance That Scales
Our rule engine is built for enterprise scale with sub-millisecond evaluation times
Deploy Intelligent Rule Management Today
Start with our curated threat intelligence or build custom rules tailored to your specific security requirements. Enterprise-grade precision meets developer-friendly APIs.