AI SecurityAuditor
AI-powered comprehensive security analysis
AI Threat Detection
Advanced AI models detect vulnerabilities, misconfigurations, and security threats across your infrastructure
Risk Scoring
Intelligent risk assessment with prioritized remediation guidance based on threat impact
Multi-Cloud Security
Comprehensive security analysis across AWS, Azure, GCP, and hybrid environments
Compliance Ready
Built-in compliance checks for SOC2, ISO27001, GDPR, HIPAA, and more standards
Installation
Deploy AI SecurityAuditor in your environment quickly and start identifying security risks across your infrastructure.
System Requirements
- Python 3.8 or higher
- Docker 20.0+ (for container scanning)
- Terraform 1.0+ (for infrastructure scanning)
- Minimum 8GB RAM (16GB recommended)
- Network access to cloud providers and target systems
Install via Package Manager
# Install via pip
pip install augment-security-auditor
# Install via conda
conda install -c augment security-auditor
# Install from source
git clone https://github.com/augment-ai/security-auditor
cd security-auditor
pip install -e .
# Verify installation
security-auditor --version
Authentication
Configure your cloud provider credentials and Augment API key:
# Set Augment API key
export AUGMENT_API_KEY=your_api_key_here
# Configure AWS credentials
aws configure
# Configure Azure CLI
az login
# Configure GCP credentials
gcloud auth application-default login
# Verify authentication
security-auditor auth verify
Quick Start
Run your first security audit in minutes and identify critical vulnerabilities across your infrastructure.
1. Initialize Security Profile
# Create security profile for your organization
security-auditor init --profile production
# Configure scanning scope
security-auditor config --scope aws,azure,gcp
security-auditor config --compliance soc2,iso27001
# This creates .security-auditor.yaml config file
2. Run Infrastructure Scan
# Scan all cloud resources
security-auditor scan --type infrastructure
# Scan specific cloud provider
security-auditor scan --provider aws --region us-east-1
# Quick security assessment
security-auditor scan --quick --critical-only
3. Generate Security Report
# Generate comprehensive security report
security-auditor report --format html --output security-report.html
# Export findings as JSON
security-auditor report --format json --output findings.json
# Generate compliance report
security-auditor report --compliance soc2 --output compliance-report.pdf
Configuration
Configure AI SecurityAuditor to match your organization's security policies and compliance requirements.
Basic Configuration
version: "1.0"
organization: "your-company"
environment: "production"
scanning:
providers:
- aws
- azure
- gcp
regions:
- us-east-1
- us-west-2
- eu-west-1
compliance:
standards:
- soc2
- iso27001
- gdpr
security_policies:
encryption:
enforce: true
algorithms: ["AES-256", "RSA-2048"]
access_control:
mfa_required: true
privileged_access_review: true
network:
public_access_restricted: true
security_groups_strict: true
Security Policies
Define custom security policies and rules that align with your organization's security requirements.
policies:
- name: "Critical Asset Protection"
description: "Ensure critical assets have proper protection"
rules:
- resource_type: "database"
encryption: "required"
backup: "daily"
monitoring: "enabled"
- name: "Network Security"
description: "Network security best practices"
rules:
- resource_type: "load_balancer"
ssl_termination: "required"
security_headers: "enabled"
- name: "Identity and Access"
description: "IAM security requirements"
rules:
- resource_type: "user"
mfa: "required"
password_policy: "strict"
inactive_days_max: 90
Environment Variables
Configure AI SecurityAuditor behavior using environment variables for different deployment scenarios.
Variable | Description | Default |
---|---|---|
AUGMENT_API_KEY | Your Augment API key | Required |
SECURITY_AUDITOR_CONFIG | Path to configuration file | .security-auditor.yaml |
SECURITY_AUDITOR_LOG_LEVEL | Logging level (debug/info/warn/error) | info |
Basic Usage
Learn the fundamental scanning patterns and security assessment workflows.
Scanning Commands
# Full infrastructure scan
security-auditor scan --type infrastructure
# Application security scan
security-auditor scan --type application --path ./src
# Container security scan
security-auditor scan --type container --image nginx:latest
# Network security assessment
security-auditor scan --type network --target 10.0.0.0/8
CLI Commands Reference
Complete reference for all security auditing commands and options.
scan
Run security analysis on infrastructure, applications, or containers
security-auditor scan [options]
Options:
--type <type> Scan type (infrastructure|application|container|network)
--provider <provider> Cloud provider (aws|azure|gcp)
--region <region> Target region for scanning
--output <file> Output file path
--format <format> Output format (json|html|csv|pdf)
--compliance <std> Compliance standard to check against
--severity <levels> Severity levels to report
--critical-only Show only critical findings
--remediation Include remediation suggestions
Best Practices
Security scanning best practices to maximize threat detection and minimize false positives.
Security Scanning Strategy
- Schedule daily automated scans for critical infrastructure
- Run immediate scans after infrastructure changes
- Focus on high and critical severity findings first
- Implement security policies as code
- Track remediation progress with compliance reports
CI/CD Integration
Integrate security scanning into your DevOps pipeline for continuous security assessment.
GitHub Actions
name: Security Audit
on:
push:
branches: [main, develop]
pull_request:
branches: [main]
schedule:
- cron: '0 2 * * *' # Daily at 2 AM
jobs:
security-audit:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Setup Python
uses: actions/setup-python@v4
with:
python-version: '3.9'
- name: Install Security Auditor
run: pip install augment-security-auditor
- name: Run Security Scan
env:
AUGMENT_API_KEY: ${{ secrets.AUGMENT_API_KEY }}
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
run: |
security-auditor scan --type infrastructure --critical-only
security-auditor scan --type application --path .
- name: Upload Security Report
uses: actions/upload-artifact@v3
with:
name: security-report
path: security-report.html
Compliance Reports
Generate comprehensive compliance reports for various security standards and regulations.
Supported Standards
API Integration
Integrate AI SecurityAuditor into your security operations center (SOC) and monitoring systems.
REST API
# Trigger security scan via API
curl -X POST https://api.augment.cfd/v1/security/scan \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"scan_type": "infrastructure",
"target": {
"provider": "aws",
"region": "us-east-1"
},
"options": {
"compliance": ["soc2", "iso27001"],
"severity": "high"
}
}'
Python SDK
from augment_security import SecurityAuditor
# Initialize security auditor
auditor = SecurityAuditor(api_key=os.environ['AUGMENT_API_KEY'])
# Run infrastructure scan
scan_result = await auditor.scan_infrastructure(
provider='aws',
region='us-east-1',
compliance=['soc2', 'iso27001']
)
# Get critical findings
critical_findings = scan_result.get_findings(severity='critical')
print(f"Found {len(critical_findings)} critical security issues")
# Generate compliance report
compliance_report = await auditor.generate_compliance_report(
standard='soc2',
format='pdf'
)
API Reference
Complete API documentation for integrating security scanning into your applications and workflows.
Security Scan Endpoint
POST /v1/security/scan
Initiate a comprehensive security scan of your infrastructure.
Request Body:
{
"scan_type": "infrastructure|application|container|network",
"target": {
"provider": "aws|azure|gcp",
"region": "us-east-1",
"resource_ids": ["resource-123", "resource-456"]
},
"options": {
"compliance": ["soc2", "iso27001", "gdpr"],
"severity": "low|medium|high|critical",
"policies": ["custom-policy-1", "custom-policy-2"]
}
}
Response:
{
"scan_id": "scan-789",
"status": "completed",
"summary": {
"total_resources": 156,
"total_findings": 23,
"critical_findings": 3,
"high_findings": 8,
"medium_findings": 12
},
"compliance_score": {
"soc2": 94.5,
"iso27001": 91.2
},
"findings": [
{
"id": "finding-001",
"severity": "critical",
"category": "access_control",
"resource_id": "sg-123456",
"title": "Security group allows unrestricted access",
"description": "Security group allows inbound traffic from 0.0.0.0/0",
"remediation": "Restrict security group rules to specific IP ranges",
"compliance_impact": ["soc2:CC6.1", "iso27001:A.13.1.3"]
}
]
}
Troubleshooting
Common issues and solutions when running security audits.
Common Issues
Permission Denied
Error: Insufficient permissions to scan cloud resources
- Verify cloud provider credentials are configured correctly
- Ensure IAM roles have necessary read permissions
- Check if MFA is required for your account
- Review and update service account permissions
Scan Timeout
Security scan taking too long or timing out
- Reduce scan scope by targeting specific regions
- Use resource filters to limit scan scope
- Increase timeout values in configuration
- Run scans in smaller batches
False Positives
Too many false positive security findings
- Configure custom security policies
- Use exemption rules for known safe configurations
- Adjust severity thresholds
- Provide context through resource tagging
Security Documentation Complete!
You now have comprehensive knowledge to implement AI SecurityAuditor in your environment. From basic scanning to advanced compliance reporting, you're equipped to strengthen your organization's security posture with AI-powered threat detection.
Ready to enhance your security posture? Start your free security assessment today and discover vulnerabilities before attackers do.