AI-Powered Network Automation
VLAN Configuration Across Switch Infrastructure
Scenario: A telecommunications company needs to deploy a new VLAN configuration across 200 access switches in multiple buildings to support a new customer segment.
Natural Language Request to Natroy X AI
"Create VLAN 150 for VoIP phones across all access switches in Buildings A, B, and C.
Assign ports 1-12 to this VLAN, enable QoS with voice priority, and configure
DHCP helper addresses pointing to 192.168.10.5"
Generated Automation Workflow
Natroy X AI automatically generates a complete workflow including:
- Device discovery and filtering for target buildings
- Configuration backup for all affected switches
- VLAN creation with proper naming conventions
- Port assignment with QoS configuration
- DHCP helper configuration
- Validation and rollback procedures
Benefits Achieved
- Reduced deployment time from 2 weeks to 2 hours
- Eliminated human configuration errors
- Automatic documentation of all changes
- Consistent configuration across all devices
BGP Peering and Route Optimization
Scenario: A service provider needs to establish BGP peering relationships with a new upstream provider across their edge router infrastructure and optimize route advertisements.
AI-Generated BGP Configuration
Network engineer describes the requirement in natural language:
"Configure BGP peering with AS 65001 on all edge routers. Use neighbor 203.0.113.1
for primary path and 203.0.113.2 for backup. Implement AS-PATH prepending on
backup path and filter out internal routes with community 65000:100"
Natroy X AI generates vendor-specific configurations for leading network equipment, including:
- BGP neighbor configuration with authentication
- Route-map creation for path manipulation
- Community-based filtering rules
- AS-PATH prepending for traffic engineering
- Prefix-list definitions for security
Network Optimization Results
- 30% reduction in BGP convergence time
- Improved traffic load balancing
- Enhanced network redundancy
- Automated route monitoring and alerting
Intelligent Network Maintenance
Predictive Hardware Health Management
Scenario: Large enterprise network with 1,000+ network devices requiring proactive maintenance to prevent outages and optimize performance.
AI-Driven Health Analysis
Natroy X AI continuously monitors and analyzes:
- Router CPU and memory utilization patterns
- Interface error rates and traffic patterns
- Power supply and fan status across all devices
- Temperature sensors and environmental conditions
- BGP session flap rates and convergence times
- OSPF LSA update frequencies and SPF calculations
Automated Maintenance Actions
Based on AI analysis, the system automatically:
- Identifies devices showing degradation patterns
- Schedules maintenance windows during low-traffic periods
- Generates maintenance procedures and rollback plans
- Coordinates with ITSM systems for approval workflows
- Executes configuration optimizations
- Validates performance improvements post-maintenance
Operational Improvements
- 65% reduction in unplanned network outages
- 40% improvement in overall network performance
- 75% reduction in manual maintenance effort
- Proactive hardware replacement scheduling
Dynamic OSPF Area Optimization
Scenario: Growing enterprise network experiencing OSPF convergence issues due to suboptimal area design and LSA propagation patterns.
AI Network Topology Analysis
Natroy X AI analyzes the network topology and recommends:
- Optimal OSPF area boundaries based on traffic patterns
- Strategic placement of Area Border Routers (ABRs)
- LSA filtering to reduce routing table size
- Stub area implementation for branch offices
- Route summarization opportunities
Automated OSPF Reconfiguration
The AI generates a phased migration plan:
- Create new OSPF areas with optimal design
- Gradually migrate devices with minimal disruption
- Implement route summarization and filtering
- Monitor convergence improvements
- Fine-tune timers and metrics based on observed behavior
Network Performance Gains
- 50% faster OSPF convergence times
- 30% reduction in routing table size
- Improved network stability during topology changes
- Reduced CPU utilization on core routers
Security and Compliance Automation
Automated Security Policy Remediation
Scenario: Security audit reveals inconsistent access control configurations across the network infrastructure, requiring immediate remediation across 500+ devices.
AI-Powered Security Assessment
Natroy X AI automatically identifies and categorizes security violations:
- Weak SNMP community strings (v1/v2c usage)
- SSH v1 enabled on network devices
- Default administrative credentials
- Unnecessary services running on routers
- Missing encryption on management interfaces
Automated Remediation Workflow
The system generates device-specific remediation procedures:
- Backup current configurations
- Disable insecure protocols and services
- Update SNMP to v3 with proper authentication
- Enforce strong password policies
- Enable encryption for management traffic
- Validate security posture compliance
Security Improvements
- 100% compliance with security policies in 24 hours
- Eliminated human error in security configurations
- Continuous monitoring for security drift
- Automated compliance reporting
Multi-Vendor Network Integration
Unified Configuration Management
Scenario: Telecommunications provider with mixed vendor environment needs consistent configuration management and standardization across multiple network platforms.
AI Vendor Translation
Natroy X AI translates high-level requirements into vendor-specific configurations:
# Natural Language Input:
"Enable LACP on interfaces connecting to server farm, use active mode,
set minimum links to 2, enable load balancing based on source-destination IP"
# Generated Configuration for Vendor A:
interface Port-channel1
lacp mode active
lacp min-links 2
port-channel load-balance src-dst-ip
# Generated Configuration for Vendor B:
interfaces {
ae0 {
aggregated-ether-options {
lacp {
active;
minimum-links 2;
}
hash-policy layer-3-and-4;
}
}
}
Multi-Vendor Benefits
- Consistent configurations across all vendors
- Reduced vendor-specific expertise requirements
- Unified change management processes
- Standardized network policies and procedures