AI Studio Network Compliance Testing Repository

Overview

This repository contains multivendor compliance checks that can be presented to an AI agent and executed using MCP (Model Context Protocol). Network testing is made as easy as possible - your agent can query the up-to-date test catalog, select tests, and run them against your data or live network. The agent will then report whether you are compliant with your selected framework.

Table of Contents

Test Types

• Data Validation
• Predictive Validation (Coming Soon)
• State Checks

Getting Started

• Data Validation - Getting The Structured Data
• Data Validation - Running The Checks
• State Checks - Building A Testbed
• State Checks - Running State Checks
• State Checks - Adding Tests

Compliance Frameworks

• HIPAA
• PCI-DSS
• STIG
• Purdue Model
• NIST Mapping

Documentation

• Test Development Guide
• Data Models Guide
• NIST Mappings
• NIST Quick Reference
• HIPAA Implementation
• Compliance Framework Expansion

---

Test Types

AI Studio provides three types of network testing to validate compliance:

Data Validation

Data validation tests check network device configurations against compliance requirements using structured configuration data. These tests:

• Parse configuration data (JSON/YAML) extracted from network devices
• Validate settings against specific compliance framework requirements
• Provide immediate pass/fail results with detailed remediation guidance
• Run quickly without requiring live device access
• Support multiple extraction methods (NSO, Native API, CLI parsing)

How it works: Configuration data is extracted from devices using NSO RESTCONF, native device APIs (RESTCONF, NX-API, Juniper REST), or CLI parsing tools. The structured data is then validated against compliance rules defined in pytest-based tests. Each test checks specific configuration elements (e.g., password encryption, SSH algorithms, logging configuration) and reports compliance status.

Tools: pytest, pydantic, jsonschema, YAML/JSON parsers

Frameworks: pytest, pydantic, jsonschema
Input: Structured configuration data (JSON/YAML)
Output: pytest JUnit XML reports with detailed findings

Predictive Validation (Coming Soon)

Predictive validation tests allow your AI agent to use Batfish to conduct pre-built tests against network snapshots for various compliance checks before deployment. These tests:

• Analyze network topology and routing using Batfish
• Validate security policy enforcement across the network
• Simulate traffic flows to identify potential issues
• Detect configuration errors before deployment
• Verify reachability and access control policies

How it works: Network device configurations are loaded into Batfish, which builds a complete model of the network including routing tables, ACLs, and traffic flows. Tests query this model to validate compliance requirements like proper segmentation, traffic filtering, and security policy enforcement.

Tools: Batfish, pybatfish
Frameworks: Batfish, pybatfish
Input: Configuration files and network topology
Output: pytest JUnit XML reports with policy violations

State Checks

State checks validate operational state and runtime behavior of live network devices using pyATS/Genie. These tests:

• Connect directly to live network devices via SSH
• Execute operational commands (show commands) on devices
• Parse command output using Genie parsers for structured data
• Validate runtime state (BGP neighbors, interface status, routing tables)
• Verify control plane and data plane functionality
• Check operational aspects that cannot be validated from configuration alone

How it works: Tests use pyATS to establish SSH connections to devices, execute show commands, and parse the output using Genie's vendor-specific parsers. The parsed data is validated against operational requirements (e.g., BGP neighbors established, NTP synchronized, interfaces up).

Tools: pyATS, Genie, Netmiko
Frameworks: pyATS, Genie, NAPALM
Input: Live device access via SSH (testbed with credentials)
Output: pytest JUnit XML reports with operational state validation

---

Multi-Framework Compliance Support

The repository supports multiple compliance frameworks, each with framework-specific tests and requirements:

• STIG (Security Technical Implementation Guides): Department of Defense security configuration standards from DISA
• PCI-DSS v4.0: Payment Card Industry Data Security Standard for cardholder data protection
• CSfC (Commercial Solutions for Classified): NSA-approved architecture components for classified environments
• NIST 800-53: Security and privacy controls for federal information systems
• HIPAA: Security and privacy requirements for healthcare data
• Purdue Model: Network segmentation standards for Industrial Control Systems (ICS/OT)

All tests map to NIST SP 800-53 Rev 5 controls, enabling unified compliance reporting across frameworks. See NIST Mappings Documentation for complete control mappings.

Multi-Vendor and Multi-Platform Support

Tests are organized by vendor, platform, and device role:

• Cisco IOS-XE: Routers and switches
• Cisco ASA: Firewall appliances
• Cisco NX-OS: Data center switches
• Juniper Junos: Firewalls and routers
• Multi-vendor: Generic baseline tests applicable across platforms

---

Data Validation

Data validation tests check device configurations against compliance requirements without requiring live device access.

Getting The Structured Data

Before running data validation tests, you must extract configuration data from your network devices in the correct format. The repository supports two extraction methods:

NSO (Network Services Orchestrator) Extraction

NSO provides YANG-modeled configuration data with consistent structure across vendors.

Extract configuration from NSO:

curl --location "http://<NSO_IP>:8080/restconf/data/tailf-ncs:devices/device=<DEVICE_NAME>/config" \
  --header 'Accept: application/yang-data+json' \
  --header 'Authorization: Basic <BASE64_CREDENTIALS>' \
  --output config.json

Example:

NSO_IP="10.0.0.1"
DEVICE_NAME="ROUTER-01"
AUTH=$(echo -n "admin:password" | base64)

curl "http://${NSO_IP}:8080/restconf/data/tailf-ncs:devices/device=${DEVICE_NAME}/config" \
  --header 'Accept: application/yang-data+json' \
  --header "Authorization: Basic ${AUTH}" \
  -o test-data/nso/cisco-ios-xe-router/${DEVICE_NAME}-config.json

Native Device Extraction

Extract directly from devices using vendor-specific APIs.

Cisco IOS-XE (RESTCONF):

curl "https://<DEVICE_IP>/restconf/data/Cisco-IOS-XE-native:native" \
  --header 'Accept: application/yang-data+json' \
  --header 'Authorization: Basic <BASE64_CREDENTIALS>' \
  --insecure -o config.json

Juniper SRX (REST API):

curl "http://<DEVICE_IP>:3000/rpc/get-configuration" \
  --header 'Accept: application/json' \
  --header 'Authorization: Basic <BASE64_CREDENTIALS>' \
  -o config.json

Cisco NX-OS (NX-API):

curl "https://<DEVICE_IP>/ins" \
  --header 'Content-Type: application/json' \
  --data '{"ins_api": {"version": "1.0", "type": "cli_show", "chunk": "0", "sid": "1", "input": "show running-config", "output_format": "json"}}' \
  -o config.json

For complete extraction instructions, API endpoints, and data model details, see the Data Models Guide.

Running Data Validation Checks

Tests are executed using pytest with configuration data provided via environment variable.

Basic Test Execution

Run a single test:

TEST_INPUT_JSON="test-data/nso/cisco-ios-xe-router/sample-cat8000v.yaml" \
  pytest stig/nso/cisco-ios-xe/router/nso-CISC-ND-000620.py -v

Run all tests in a directory:

TEST_INPUT_JSON="test-data/nso/cisco-asa-firewall/sample-asa.json" \
  pytest stig/nso/cisco-asa-firewall/*.py -v

Framework-Specific Testing

Run all STIG tests for IOS-XE routers (NSO):

TEST_INPUT_JSON="test-data/nso/cisco-ios-xe-router/sample-cat8000v.yaml" \
  pytest stig/nso/cisco-ios-xe/router/*.py -v

Run all PCI-DSS tests for IOS-XE routers (Native):

TEST_INPUT_JSON="test-data/native/cisco-ios-xe-router/sample_cat8000v_native.json" \
  pytest pci-dss/native/cisco-ios-xe-router/*.py -v

Run all HIPAA tests for IOS-XE routers:

TEST_INPUT_JSON="test-data/native/cisco-ios-xe-router/sample_cat8000v_native.json" \
  pytest hipaa/native/cisco-ios-xe-router/*.py -v

Generating Reports

HTML Report:

TEST_INPUT_JSON="test-data/nso/cisco-asa-firewall/sample-asa.json" \
  pytest stig/nso/cisco-asa-firewall/*.py --html=report.html --self-contained-html

JSON Report:

TEST_INPUT_JSON="test-data/nso/cisco-ios-xe-router/sample-cat8000v.yaml" \
  pytest stig/nso/cisco-ios-xe/router/*.py --json-report --json-report-file=report.json

---

Predictive Validation

(Coming Soon)

Batfish-based predictive validation will enable pre-deployment testing of network configurations:

• Network topology analysis
• Security policy validation
• Reachability testing
• Traffic flow simulation
• Configuration error detection

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State Checks

State checks validate the operational state of live network devices using pyATS and Genie.

Building A Testbed

State checks require a testbed definition that describes how to connect to your devices. See the Test Development Guide for complete testbed configuration.

Example testbed structure:

{
    "device_name": "ROUTER-01",      # Hostname of device
    "host": "192.168.1.1",           # IP address
    "username": "admin",             # SSH username
    "password": "password",          # SSH password
    "device_type": "cisco_xe",       # Device type
    "port": 22                       # SSH port
}

Running State Checks

State checks connect to live devices and validate operational state.

Run BGP neighbor state check:

pytest general/state/routing/state_bgp_neighbors.py -v

Run gateway reachability check:

pytest general/state/connectivity/state_gateway_reachability.py -v

Run logging configuration check:

pytest general/state/monitoring/state_logging.py -v

State checks use pytest fixtures to pass device connection parameters and test-specific configuration.

Adding State Check Tests

To create new state check tests, follow the patterns in the Test Development Guide:

1. Use standardized fixtures: Accept device_params and test_config fixtures
2. Connect with pyATS: Use pyATS/Genie for structured data parsing
3. Print validation details: Use print() statements for agent visibility
4. Register in catalog: Add test metadata to catalog.json

Example test structure:

from genie.testbed import load
from pyats.topology import loader

def test_bgp_neighbors(device_params, test_config):
    """Validate BGP neighbors are established."""
    
    # Build testbed from device_params
    testbed_dict = {
        "devices": {
            device_params["device_name"]: {
                "type": "router",
                "os": "iosxe",
                "credentials": {"default": {
                    "username": device_params["username"],
                    "password": device_params["password"]
                }},
                "connections": {
                    "cli": {
                        "protocol": "ssh",
                        "ip": device_params["host"]
                    }
                }
            }
        }
    }
    
    # Connect and validate
    testbed = loader.load(testbed_dict)
    device = testbed.devices[device_params["device_name"]]
    device.connect()
    
    try:
        bgp_data = device.learn("bgp")
        # Validation logic here
        print(f"\n✓ All BGP neighbors are established")
    finally:
        device.disconnect()

For complete examples and best practices, see:

• Test Development Guide: Complete test writing instructions
• Example tests: general/state/connectivity/state_gateway_reachability.py
• Example tests: general/state/routing/state_bgp_neighbors.py

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Repository Architecture

Catalog-Driven Design

The catalog.json file serves as the central registry for all compliance tests. It provides:

• Hierarchical organization by framework, extraction method, vendor, platform, and device type
• Rich metadata for each test including severity, tags, dependencies, and data paths
• AI-agent accessible structure for automated test discovery and execution
• Query capabilities for filtering tests by multiple criteria

Directory Structure

ai-studio-network-tests/
├── catalog.json                     # Central test registry
├── requirements.txt                 # Python dependencies
│
├── stig/                            # STIG compliance tests
│   ├── nso/                         # NSO extraction method
│   │   ├── cisco-ios-xe/
│   │   │   ├── router/              # Router tests
│   │   │   └── switch/              # Switch tests
│   │   └── cisco-asa-firewall/      # Firewall tests
│   └── native/                      # Native extraction method
│       ├── cisco-ios-xe-router/     # Router tests
│       └── juniper-srx-gateway/     # SRX gateway tests
│
├── pci-dss/                         # PCI-DSS compliance tests
│   ├── nso/
│   │   └── cisco-ios-xe-router/
│   └── native/
│       └── cisco-ios-xe-router/
│
├── hipaa/                           # HIPAA compliance tests
│   ├── nso/
│   │   └── cisco-ios-xe-router/
│   └── native/
│       └── cisco-ios-xe-router/
│
├── csfc/                            # CSfC architecture tests
│   ├── eg-dr/                       # Enclave Gateway Data in Transit
│   └── eg-fw/                       # Enclave Gateway Firewall
│
├── purdue/                          # Purdue Model ICS/OT tests
│   └── level-3.5/                   # Level 3.5 tests
│
├── general/                         # General state checks
│   └── state/                       # State validation tests
│       ├── connectivity/            # Connectivity tests
│       ├── routing/                 # Routing tests
│       └── monitoring/              # Monitoring tests
│
├── docs/                            # Documentation
│   ├── DATA-MODELS.md
│   ├── TEST_DEVELOPMENT_GUIDE.md
│   ├── NIST-MAPPINGS.md
│   └── ...
│
└── test-data/                       # Sample configurations (gitignored)
    ├── nso/                         # NSO format samples
    └── native/                      # Native format samples

Test Organization

Tests are organized in a hierarchical structure:

compliance_framework/
  └── extraction_method/
      └── vendor/
          └── platform/
              └── device_type/
                  └── test_type/
                      └── individual_tests/

This organization enables precise test discovery based on:

• What compliance framework applies
• How configuration data was extracted
• What vendor and platform is being tested
• What role the device serves (router, switch, firewall)
• What type of test is needed (data validation, state checks, traffic analysis)

Available Compliance Frameworks

HIPAA Compliance

Health Insurance Portability and Accountability Act - Security and privacy requirements for healthcare data.

The HIPAA test suite validates technical safeguards required by 45 CFR § 164.312:

• Access Control: Unique user identification, automatic logoff, emergency access procedures
• Audit Controls: Comprehensive logging, log retention, centralized logging
• Integrity: Configuration change control, data integrity validation
• Authentication: Multi-factor authentication, password complexity, account lockout
• Transmission Security: Encryption in transit, strong cryptography, secure protocols

Current Coverage: 3 tests for Cisco IOS-XE (expandable to 17 tests)
Severity Levels: High, Medium
NIST Mapping: AC-2, AC-7, AC-11, AU-2, IA-2, IA-5, SC-8, SC-13

Documentation: HIPAA Implementation Guide

Example Test:

TEST_INPUT_JSON="test-data/native/cisco-ios-xe-router/config.json" \
  pytest hipaa/native/cisco-ios-xe-router/native-HIPAA-PA-004.py -v

PCI-DSS Compliance

Payment Card Industry Data Security Standard v4.0 - Requirements for protecting cardholder data.

The PCI-DSS test suite validates network security controls for payment card processing environments:

• Requirement 1: Network security controls (firewall rules, change control)
• Requirement 2: Secure configurations (vendor defaults, strong crypto, disabled services)
• Requirement 8: User identification and authentication (unique IDs, MFA, password policies)
• Requirement 10: Logging and monitoring (comprehensive logs, log protection, log review)

Current Coverage: 6 tests for Cisco IOS-XE (expandable to 44 tests)
Severity Levels: Critical, High, Medium
NIST Mapping: AC-2, AC-3, AU-2, AU-3, IA-2, IA-5, SC-8, SC-13

Example Test:

TEST_INPUT_JSON="test-data/native/cisco-ios-xe-router/config.json" \
  pytest pci-dss/native/cisco-ios-xe-router/native_pci_8_3_6_account_lockout.py -v

STIG Compliance

Security Technical Implementation Guides - Department of Defense security configuration standards from DISA.

The STIG test suite validates DoD security requirements for network devices:

Cisco IOS-XE (29 tests)

• Session management and access control
• Account management and auditing
• Password and authentication security
• Remote access security (SSH, HTTPS)
• Logging and audit requirements
• Service hardening
• State Checks: Inactive interface validation (pyATS/Genie)
• Switch-Specific: Gratuitous ARP protection (DoS prevention), Auxiliary port security

Cisco ASA Firewall (10 tests)

• Logging and audit configuration
• Syslog transport and redundancy
• Email alerting for failures
• Threat detection (basic and scanning)
• Application layer inspection

Juniper SRX (11 tests)

• Password policy enforcement
• SSH configuration and hardening
• Session timeout controls
• Authentication mechanisms

Current Coverage: 50 tests across multiple platforms
Severity Levels: CAT I (High), CAT II (Medium), CAT III (Low)
NIST Mapping: All tests map to NIST SP 800-53 Rev 5 controls

Example Tests:

# Data validation test (configuration check)
TEST_INPUT_JSON="test-data/nso/cisco-ios-xe-router/config.yaml" \
  pytest stig/nso/cisco-ios-xe/router/nso-CISC-ND-001210.py -v

# Native switch test (gratuitous ARP check)
TEST_INPUT_JSON="test-data/native/cisco-ios-xe-router/config.json" \
  pytest stig/native/cisco-ios-xe-switch/native-CISC-RT-000150.py -v

# Native switch test (auxiliary port security)
TEST_INPUT_JSON="test-data/native/cisco-ios-xe-router/config.json" \
  pytest stig/native/cisco-ios-xe-switch/native-CISC-RT-000230.py -v

# State check test (live device operational state)
pytest stig/state/cisco-ios-xe-switch/state-CISC-RT-000060.py \
  --testbed=testbed.yaml -v

Purdue Model

Industrial Control System (ICS/OT) Network Segmentation - Network segmentation standards for operational technology.

The Purdue Model test suite validates network segmentation for ICS/OT environments:

• Level 3.5 (DMZ): Boundary protection between IT and OT networks
• Level 4 (Enterprise): Business network security controls

Current Coverage: 1 test for Level 3.5 DMZ boundary protection
Use Case: Manufacturing, utilities, critical infrastructure
NIST Mapping: SC-7 (Boundary Protection)

Example Test:

pytest purdue/level-3.5/tests/L3.5-SC7-001_test.py -v

NIST Mappings

All tests map to NIST SP 800-53 Rev 5 controls, enabling unified compliance reporting across frameworks.

The NIST mapping provides:

• Cross-framework control alignment
• Unified compliance reporting
• Control family grouping (AC, AU, IA, SC, etc.)
• Control descriptions and requirements

Available Documentation:

• NIST Mappings: Complete control mappings with descriptions
• NIST Quick Reference: Quick lookup tables
• nist-800-53-mappings.json: Machine-readable mapping data

Example: A single password encryption test validates:

• STIG: CISC-ND-000620
• PCI-DSS: 2.2.2
• HIPAA: HIPAA-PA-002
• NIST: IA-5(1)(c)

---

---

Prerequisites

Python 3.8 or higher with the following dependencies:

pip install -r requirements.txt

Required packages:

• pytest
• pyyaml
• jsonschema
• pytest-html
• pytest-json-report

Configuration Data Extraction

Before running tests, you need to extract configuration data from your network devices in the correct format. See the Data Models Guide for detailed instructions on:

• API calls for each platform (IOS-XE, ASA, SRX, NX-OS)
• NSO vs Native extraction methods
• Data structure requirements
• Sample configurations
• Troubleshooting extraction issues

Quick Start:

# Extract from NSO
curl http://<NSO_IP>:8080/restconf/data/tailf-ncs:devices/device=<NAME>/config \
  --header 'Accept: application/yang-data+json' \
  --header 'Authorization: Basic <AUTH>' -o config.json

# Extract from Native IOS-XE
curl https://<DEVICE_IP>/restconf/data/Cisco-IOS-XE-native:native \
  --header 'Accept: application/yang-data+json' \
  --header 'Authorization: Basic <AUTH>' --insecure -o config.json

# Extract from Native Juniper SRX
curl http://<DEVICE_IP>:3000/rpc/get-configuration \
  --header 'Accept: application/json' \
  --header 'Authorization: Basic <AUTH>' -o config.json

Running Tests

Tests are executed using pytest with configuration data provided via environment variable.

Basic Test Execution

Run a single test:

TEST_INPUT_JSON="test-data/nso/cisco-ios-xe-router/sample-cat8000v.yaml" \
  pytest stig/nso/cisco-ios-xe/router/nso-CISC-ND-000620.py -v

Run all tests in a directory:

TEST_INPUT_JSON="test-data/nso/cisco-asa-firewall/sample-asa.json" \
  pytest stig/nso/cisco-asa-firewall/*.py -v

Framework-Specific Testing

Run all STIG tests for IOS-XE routers (NSO):

TEST_INPUT_JSON="test-data/nso/cisco-ios-xe-router/sample-cat8000v.yaml" \
  pytest stig/nso/cisco-ios-xe/router/*.py -v

Run all PCI-DSS tests for IOS-XE routers (Native):

TEST_INPUT_JSON="test-data/native/cisco-ios-xe-router/sample_cat8000v_native.json" \
  pytest pci-dss/native/cisco-ios-xe-router/*.py -v

Generating Reports

HTML Report:

TEST_INPUT_JSON="test-data/nso/cisco-asa-firewall/sample-asa.json" \
  pytest stig/nso/cisco-asa-firewall/*.py --html=report.html --self-contained-html

JSON Report:

TEST_INPUT_JSON="test-data/nso/cisco-ios-xe-router/sample-cat8000v.yaml" \
  pytest stig/nso/cisco-ios-xe/router/*.py --json-report --json-report-file=report.json

Virtual Environment Setup

For isolated testing:

python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

AI Agent Integration

Catalog Query System

The catalog is designed for programmatic access by AI agents. Agents can query tests based on:

• Framework: framework='STIG' or framework='PCI-DSS' or framework='HIPAA'
• Extraction Method: extraction_method='nso' or extraction_method='native'
• Vendor: vendor='cisco' or vendor='juniper'
• Platform: platform='ios-xe' or platform='asa' or platform='junos'
• Device Type: device_type='router' or device_type='firewall'
• Test Type: test_type='data_validation' or test_type='state_checks'
• Severity: severity='high' or severity='critical'
• Control ID: control_id='CISC-ND-001210'
• Tags: tags CONTAINS 'ssh' or tags CONTAINS 'encryption'

Example AI Agent Workflow

1. Extract Configuration: Agent retrieves configuration from NSO API or native device API
2. Identify Attributes: Determines vendor=cisco, platform=ios-xe, device_type=router
3. Query Catalog:

   framework='STIG' AND extraction_method='nso' AND vendor='cisco' 
   AND platform='ios-xe' AND device_type='router'
   

4. Download Tests: Agent retrieves relevant test files from repository
5. Execute Tests: Runs pytest with extracted configuration data
6. Report Results: Generates compliance report with pass/fail status and remediation guidance

---

Test Development

Creating New Tests

All tests follow a consistent structure. See the Test Development Guide for complete instructions on:

• Data validation test structure
• State check test structure
• PyATS testbed configuration
• Output formatting for AI agents
• Catalog registration

Test Naming Convention

Tests follow a consistent naming pattern:

• STIG NSO: nso-CISC-ND-000620.py
• STIG Native: native-CISC-ND-000620.py
• PCI-DSS NSO: nso_pci_8_3_6_account_lockout.py
• PCI-DSS Native: native_pci_8_3_6_account_lockout.py
• HIPAA NSO: nso-HIPAA-PA-004.py
• HIPAA Native: native-HIPAA-PA-004.py
• State Checks: state_bgp_neighbors.py, state_gateway_reachability.py

---

Benefits

For Security Teams

• Automated Compliance Validation: Run compliance checks without manual configuration review
• Consistent Testing: Same validation logic applied across all devices
• Multi-Framework Support: Single repository for STIG, PCI-DSS, HIPAA, NIST, and other frameworks
• Detailed Remediation: Exact configuration commands provided for non-compliant findings
• Historical Tracking: Track compliance posture over time

For Network Operations

• Pre-Deployment Validation: Test configurations before deploying to production
• Change Impact Analysis: Validate that changes maintain compliance
• Operational State Validation: Verify runtime behavior with state checks
• Documentation: Built-in documentation of security requirements
• Multi-Vendor Support: Consistent testing across Cisco, Juniper, and other vendors

For Auditors

• Evidence Generation: Automated compliance reports for audit packages
• Traceable Results: Each test maps to specific framework requirements
• Repeatable Process: Consistent testing methodology
• Framework Alignment: Tests reference official control IDs and requirements

For AI Agents

• Structured Metadata: Machine-readable catalog with rich test metadata
• Flexible Queries: Filter tests by multiple criteria
• Automated Discovery: Find relevant tests based on device attributes
• Self-Service: Download and execute tests without human intervention
• MCP Integration: Execute via Model Context Protocol for seamless AI integration

---

Summary Statistics

• Total Tests: 60+ tests across data validation and state checks
• Compliance Frameworks: 6 (STIG, PCI-DSS, HIPAA, CSfC, NIST, Purdue)
• Vendors Supported: 2 (Cisco, Juniper)
• Platforms: 5 (IOS-XE, ASA, NX-OS, Junos, Multi-vendor)
• Extraction Methods: 2 (NSO, Native)
• Test Types: 3 (Data Validation, State Checks, Predictive Validation*)
• Active Development: Ongoing expansion of test coverage

*Coming Soon

---

License

This repository is maintained by AI Studio for network compliance validation purposes.

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This repository represents a comprehensive, scalable approach to network infrastructure compliance testing, designed for automation, AI agent integration, and multi-framework security validation.