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AI-Powered Security Rules Optimization
A fine-tuned Large Language Model specifically engineered for optimizing SIEM rules, SOAR playbooks, and IDPS configurations across any security platform.
from genti_api import GentiOptimizer
# Initialize the optimizer
optimizer = GentiOptimizer(api_key="your_key")
# Optimize SIEM rules
result = optimizer.optimize_rules(
platform="splunk",
rules_file="detection_rules.conf",
focus=["false_positives", "performance"]
)
print(f"Optimized {result.rules_improved} rules")
print(f"False positives reduced by {result.fp_reduction}%")Transform your security operations with intelligent rule optimization powered by advanced LLM technology
Fine-tuned LLM model that analyzes and optimizes SIEM rules for any platform including Splunk, QRadar, ArcSight, and LogRhythm.
Automatically generates and optimizes SOAR playbooks for incident response, reducing manual effort by 80%.
Advanced AI-powered tuning of Intrusion Detection and Prevention System rules to minimize false positives.
Process thousands of security rules in seconds with our optimized transformer architecture.
Identifies inefficient rule patterns and suggests optimizations based on industry best practices.
Detailed analytics on rule effectiveness, coverage gaps, and optimization opportunities.
Works seamlessly with all major security platforms and rule types
Real-world impact on security operations and efficiency
From SOC analysts to MSSPs, GENTI adapts to your security needs
Optimize detection rules, reduce false positives, and improve analyst productivity with AI-powered rule suggestions.
Scale your operations across multiple clients with automated rule optimization and playbook generation.
Maintain comprehensive security coverage while reducing rule complexity and management overhead.
Ensure rules align with regulatory requirements and industry standards automatically.
Built on state-of-the-art LLM architecture for security automation
Everything you need to know about GENTI
GENTI is trained on rule syntax from 15+ platforms including Splunk, QRadar, Sentinel, and ArcSight. The model automatically detects your platform from rule syntax and applies platform-specific optimizations while maintaining compatibility.
Yes. Our fine-tuned LLM has analyzed 10M+ security rules and their outcomes. It identifies common false positive patterns like overly broad conditions, missing context filters, and inefficient correlation logic. In production deployments, clients see 85-95% false positive reduction within weeks.
Absolutely. Rules are processed in isolated environments and never used for training other clients' models. Enterprise plans include on-premises deployment options. All API communications use TLS 1.3 encryption and support VPN/private connectivity.
Individual rules are optimized in under 500ms. Bulk operations process 1000+ rules per minute. Large rule sets can be optimized overnight with results delivered via webhook or API polling.
GENTI supports SPL (Splunk), KQL (Microsoft), AQL (QRadar), Sigma, YARA, Suricata, Snort, and custom rule languages. We also support SOAR playbooks in JSON, YAML, and vendor-specific formats.
Yes. We provide SDKs for Python, Node.js, and Go, plus REST API documentation. Enterprise plans include dedicated integration support, custom SDK development, and direct SIEM platform connectors.
Track the progress of GENTI's AI-powered features as we build the future of security automation
Fully operational AI model for automated security rule generation
Advanced pattern recognition for identifying zero-day threats
AI-generated incident reports and executive summaries
Interactive AI assistant for security analysts
Average completion across all GENTI features
Join leading security teams using GENTI to revolutionize their operations