Breezeway
Fire.ONE

AI-Driven Firewall Operations Automation

Fire.ONE is an AI-driven integrated security solution that automates the entire firewall operations lifecycle while improving both efficiency and security. It connects policy request and approval, compliance validation, automated deployment, deployment and expiration notification, traffic analytics, anomaly detection, and response in a single flow.

Firewalls are one of the most critical foundations of security, yet real-world operations still rely on repetitive manual work. Fire.ONE is designed to reduce this inefficiency through request automation, deployment automation, and analysis automation.

More than a policy management tool — Fire.ONE analyzes request data, policies, traffic logs, and threat intelligence together so security teams can focus on higher-value review and response.

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Fire.ONE Dashboard
Automated Deployment Accuracy
99.8%
Manual Work Reduction
95%

Key Value

Operational clarity with automated control

Accurate Operations

Validate policy requests in advance by checking integrity, duplicates, and compliance requirements before deployment.

Faster Enforcement

Automatically deploy approved policies to each firewall device, reducing turnaround time and minimizing human error.

Continuous Analysis

Correlate policies with traffic logs to identify anomalies and provide insights for optimization and operational improvement.

AI-Driven Response

Detect abnormal patterns, analyze risk, and extend to automated defensive policy generation when needed.

Request / Approval / Deployment

One Automated Flow from Request to Approval to Deployment

Fire.ONE connects the most time-consuming stages of firewall operations — request, validation, approval, and deployment — into a single workflow. Users can submit firewall policy requests through the system, while the request itself is pre-validated for integrity, duplicate rules, and compliance requirements.

Once approval is completed, Fire.ONE centrally manages policy data and supports rule optimization by consolidating IPs, ports, and related attributes. It then deploys policies automatically through vendor-specific APIs or CLI-based integration, with support for both immediate enforcement and scheduled execution.

  • Pre-validate integrity, duplicate rules, and compliance at the request stage
  • Centrally manage policy workflows tied to approval processes
  • Optimize rule information and deploy automatically by device
  • Support both immediate and scheduled deployment
  • Automatically notify deployment status and upcoming expirations
Policy WorkflowAutomated
01
Policy RequestREQUEST
User submits request → auto pre-validate integrity, duplicates, and compliance
02
Approval IntegrationAPPROVAL
Link to existing approval systems; centrally manage policy data and rule optimization
03
Automated DeploymentDEPLOY
Vendor-specific API/CLI auto-deploy · immediate and scheduled execution
04
NotificationsNOTIFY
Auto-notify on deployment completion, upcoming expirations, and operator updates
Diagnose More Than Policies and LogsAI Active
M
Management Diagnosis
Inspect duplicate, inactive, and unnecessary rule sets; provide optimization scores
T
Threat Diagnosis
Analyze threat history, internal anomalies, and abnormal traffic patterns via AI/ML
H
Health Diagnosis
Visualize device health, resource usage, and activity trends for operational awareness
P
Policy Diagnosis
Check compliance against internal, external, and vendor-specific standards
R
Reporting & Analytics
Security reports, topology-based path analysis, and policy risk analysis

Diagnostic Focus

Turn operational data into actionable security insight

Fire.ONE's diagnostic capabilities analyze the broader firewall operating environment based on policies and logs, delivering near real-time insight. It goes beyond simple rule visibility by identifying duplicate, inactive, and unnecessary rules, while providing optimization scores that help guide policy cleanup and improvement.

In threat diagnosis, Fire.ONE checks cyber threat exposure, reviews threat history, monitors internal abnormal behavior, and detects non-standard traffic patterns using AI and ML. It supports an extended response model in which detected anomalies are risk-assessed and, when necessary, linked to automated policy generation.

🔍
Management
Duplicate & inactive rule detection with optimization scores
⚠️
Threat
AI/ML-based anomaly detection and risk assessment
💓
Health
Device health, resource usage, and activity visualization
📋
Compliance
Internal, external, and vendor-specific policy checks

Request, Approve, Deploy, Diagnose —
in one automated flow.

Reduce repetition. Strengthen security control. Fire.ONE sets a new standard for firewall operations.

Get Started with Fire.ONE