Documentation | Augment AI Platform

Installation

Deploy AI PolicyAdvisor to start intelligent policy management and automated governance across your infrastructure.

System Requirements

Python 3.9 or higher
Terraform 1.0+ (for infrastructure policy enforcement)
Docker 20.0+ (for containerized deployment)
Minimum 8GB RAM (16GB recommended for large environments)
Network access to cloud providers and policy repositories

Install via Package Manager

Installationbash

# Install via pip
pip install augment-policy-advisor

# Install via Docker
docker pull augment/policy-advisor:latest

# Install from source
git clone https://github.com/augment-ai/policy-advisor
cd policy-advisor
pip install -e .

# Install policy engines
pip install opa-python checkov terraform-compliance

# Verify installation
policy-advisor --version

Authentication and Setup

Configure API access and policy repositories:

Setupbash

# Set Augment API key
export AUGMENT_API_KEY=your_api_key_here

# Configure cloud provider access
export AWS_ACCESS_KEY_ID=your_aws_key
export AWS_SECRET_ACCESS_KEY=your_aws_secret
export AZURE_CLIENT_ID=your_azure_client_id
export AZURE_CLIENT_SECRET=your_azure_secret

# Initialize policy repository
policy-advisor init --org "your-company"

# Verify setup and permissions
policy-advisor health-check

Quick Start

Generate intelligent policy recommendations and start automated governance in minutes.

1. Scan Infrastructure

Infrastructure Scanbash

# Scan current infrastructure configuration
policy-advisor scan --provider aws --regions us-east-1,us-west-2

# Scan Terraform configurations
policy-advisor scan --terraform ./infrastructure/

# Scan Kubernetes manifests
policy-advisor scan --kubernetes ./k8s-manifests/

# Generate baseline policy recommendations
policy-advisor generate-baseline --compliance soc2,pci-dss

2. Generate Policy Recommendations

Policy Generationbash

# Generate security policies based on current infrastructure
policy-advisor generate --type security --framework cis-benchmark

# Generate compliance policies
policy-advisor generate --type compliance --standard soc2 --output policies/

# Generate custom policies for specific resources
policy-advisor generate --resource-type s3 --focus data-protection

# Review and approve generated policies
policy-advisor review --interactive

3. Enable Auto-Remediation

Auto-Remediation Setupbash

# Enable auto-remediation for low-risk violations
policy-advisor auto-remediation enable --risk-level low

# Configure approval workflows for medium/high risk changes
policy-advisor auto-remediation configure --approval-required medium,high

# Set up notification channels
policy-advisor notifications add --type slack --webhook "https://hooks.slack.com/..."

# Start continuous policy monitoring
policy-advisor monitor --daemon --interval 300

Configuration

Configure AI PolicyAdvisor to align with your organization's governance requirements and compliance standards.

Basic Configuration

.policy-advisor.yamlyaml

version: "1.0"
organization: "your-company"
environment: "production"

policy_sources:
  - name: "security-baseline"
    type: "git"
    url: "https://github.com/your-org/security-policies"
    branch: "main"
  - name: "compliance-templates"
    type: "built-in"
    frameworks: ["soc2", "pci-dss", "hipaa"]

scanning:
  providers:
    - aws
    - azure
    - gcp
  scope:
    regions: ["us-east-1", "us-west-2", "eu-west-1"]
    accounts: ["123456789012", "987654321098"]
  exclude_resources:
    - "test-*"
    - "*-sandbox"

policy_generation:
  ai_confidence_threshold: 0.8
  include_best_practices: true
  custom_rules_path: "./custom-rules/"
  output_formats: ["opa", "terraform", "yaml"]

auto_remediation:
  enabled: true
  risk_tolerance: "medium"
  require_approval:
    - "high_risk"
    - "cost_impact_high"
  notification_channels:
    - "slack"
    - "email"
  rollback_on_failure: true

compliance:
  frameworks:
    - name: "SOC2"
      controls: ["CC6.1", "CC6.6", "CC6.7"]
    - name: "PCI-DSS"
      requirements: ["3.4", "4.1", "8.2"]

Policy Templates

AI PolicyAdvisor includes comprehensive policy templates for common security and compliance scenarios.

Security Policies

• IAM access controls and permissions
• Network security and firewall rules
• Data encryption and protection
• Resource tagging and classification

Compliance Policies

• SOC2 Type II controls
• PCI-DSS requirements
• HIPAA safeguards
• GDPR data protection

Operational Policies

• Cost optimization rules
• Resource lifecycle management
• Backup and disaster recovery
• Performance monitoring

Governance Policies

• Change management processes
• Approval workflows
• Audit and logging requirements
• Risk assessment frameworks

Environment Variables

Configure AI PolicyAdvisor behavior using environment variables for different deployment scenarios.

Variable	Description	Default
AUGMENT_API_KEY	Your Augment API key	Required
POLICY_ADVISOR_CONFIG	Path to configuration file	.policy-advisor.yaml
POLICY_ADVISOR_DRY_RUN	Enable dry-run mode by default	false
POLICY_ADVISOR_LOG_LEVEL	Logging level (debug/info/warn/error)	info

Basic Usage

Learn the fundamental policy management patterns and governance workflows.

Policy Commands

Policy Managementbash

# Scan and analyze current infrastructure
policy-advisor scan --provider aws --output scan-results.json

# Generate policies based on scan results
policy-advisor generate --input scan-results.json --framework cis

# Validate existing policies
policy-advisor validate --policies ./policies/ --format opa

# Apply policies to infrastructure
policy-advisor apply --policies ./policies/ --dry-run

CLI Commands Reference

Complete reference for all policy management and governance commands.

generate

Generate intelligent policy recommendations based on infrastructure analysis

policy-advisor generate [options]

Options:
  --type <type>            Policy type (security|compliance|operational|governance)
  --framework <framework>  Compliance framework (soc2|pci-dss|hipaa|gdpr|cis)
  --provider <provider>    Cloud provider (aws|azure|gcp)
  --resource-type <type>   Specific resource type to focus on
  --output <path>          Output directory for generated policies
  --format <format>        Output format (opa|terraform|yaml|json)
  --confidence <level>     Minimum AI confidence threshold
  --include-remediation    Include auto-remediation actions
  --custom-rules <path>    Include custom rule templates

remediate

Execute automated remediation for policy violations

policy-advisor remediate [options]

Options:
  --violation-id <id>      Specific violation to remediate
  --policy <policy>        Policy name to enforce
  --resource <resource>    Target resource for remediation
  --risk-level <level>     Maximum risk level to auto-remediate
  --dry-run                Preview changes without executing
  --force                  Skip approval workflows
  --rollback-plan          Generate rollback instructions
  --notify                 Send notifications after remediation

Best Practices

Policy management best practices to maintain secure and compliant infrastructure.

Policy Management Strategy

Start with infrastructure scanning to understand current state
Generate baseline policies using industry frameworks
Implement policies incrementally to avoid disruption
Use dry-run mode to validate policy changes before applying
Monitor policy violations and adjust thresholds as needed
Regularly review and update policies based on new requirements

Auto-Remediation

Intelligent auto-remediation capabilities to automatically fix policy violations and misconfigurations.

Remediation Types

Low Risk

Automatic remediation without approval required

• Tag missing resources
• Enable logging
• Update security groups

Medium Risk

Requires approval before remediation

• Modify IAM permissions
• Change network settings
• Update resource configs

High Risk

Manual review and approval required

• Delete resources
• Major config changes
• Security modifications

Compliance Frameworks

Built-in support for major compliance frameworks with automated policy generation and monitoring.

Supported Frameworks

SOC 2

Type I & II

PCI DSS

v4.0

HIPAA

Security Rule

GDPR

Articles 25, 32

CIS

Benchmarks

NIST

CSF 2.0

ISO 27001

2022 Edition

Custom

Your Framework

API Integration

Integrate AI PolicyAdvisor into your governance workflows and compliance management systems.

REST API

API Usagebash

# Generate policies via API
curl -X POST https://api.augment.cfd/v1/policies/generate \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "infrastructure_scan": "scan-results.json",
    "framework": "soc2",
    "policy_types": ["security", "compliance"],
    "auto_remediation": true
  }'

Python SDK

Python Integrationpython

from augment_policy_advisor import PolicyAdvisor

# Initialize policy advisor
advisor = PolicyAdvisor(api_key=os.environ['AUGMENT_API_KEY'])

# Scan infrastructure
scan_result = await advisor.scan_infrastructure(
    provider='aws',
    regions=['us-east-1', 'us-west-2'],
    compliance_frameworks=['soc2', 'pci-dss']
)

# Generate policy recommendations
policies = await advisor.generate_policies(
    scan_result=scan_result,
    policy_types=['security', 'compliance'],
    confidence_threshold=0.8
)

print(f"Generated {len(policies)} policy recommendations")

# Enable auto-remediation
remediation_config = await advisor.configure_auto_remediation(
    risk_tolerance='medium',
    require_approval=['high_risk'],
    notification_channels=['slack', 'email']
)

# Monitor policy violations
violations = await advisor.get_policy_violations(
    severity='high',
    timeframe='24h'
)

API Reference

Complete API documentation for integrating policy management into your applications.

Policy Generation Endpoint

POST /v1/policies/generate

Generate intelligent policy recommendations based on infrastructure analysis.

Request Body:

{
  "infrastructure_scan": {
    "provider": "aws",
    "regions": ["us-east-1", "us-west-2"],
    "resources": ["s3", "ec2", "iam", "vpc"]
  },
  "policy_requirements": {
    "frameworks": ["soc2", "pci-dss"],
    "policy_types": ["security", "compliance", "governance"],
    "risk_tolerance": "medium"
  },
  "generation_options": {
    "include_remediation": true,
    "confidence_threshold": 0.8,
    "output_format": "opa",
    "custom_rules": true
  }
}

Response:

{
  "generation_id": "gen-123456",
  "status": "completed",
  "summary": {
    "total_policies": 47,
    "security_policies": 23,
    "compliance_policies": 18,
    "governance_policies": 6
  },
  "policies": [
    {
      "id": "policy-001",
      "name": "S3 Bucket Encryption Enforcement",
      "type": "security",
      "framework": "soc2",
      "confidence": 0.95,
      "description": "Ensure all S3 buckets have encryption enabled",
      "opa_rule": "package s3_encryption...",
      "terraform_code": "resource aws_s3_bucket_encryption...",
      "remediation": {
        "auto_fix": true,
        "risk_level": "low",
        "steps": [
          "Enable default encryption on S3 bucket",
          "Apply bucket policy to enforce encryption"
        ]
      },
      "compliance_mapping": {
        "soc2": ["CC6.1", "CC6.7"],
        "pci_dss": ["3.4"]
      }
    }
  ],
  "remediation_summary": {
    "auto_fixable": 32,
    "requires_approval": 12,
    "manual_review": 3
  }
}

Troubleshooting

Common issues and solutions when implementing policy management and governance.

Common Issues

Policy Conflicts

Generated policies conflict with existing organizational policies

Solutions:

Review and merge conflicting policies manually
Use custom rule templates for organization-specific requirements
Adjust AI confidence thresholds to reduce aggressive recommendations
Implement gradual policy rollout with testing periods

Auto-Remediation Failures

Automated remediation actions failing or causing issues

Solutions:

Check IAM permissions for remediation service accounts
Verify resource dependencies before remediation
Use dry-run mode to test remediation actions
Implement proper rollback procedures for failed changes

High False Positive Rate

Too many false positive policy violations reported

Solutions:

Fine-tune policy rules for your specific environment
Add exceptions for known compliant configurations
Adjust violation severity thresholds
Use environment-specific policy configurations

Policy Management Documentation Complete!

You now have comprehensive knowledge to implement AI PolicyAdvisor in your governance framework. From intelligent policy generation to automated remediation, you're equipped to maintain secure and compliant infrastructure with AI-powered governance.

Ready to transform your governance strategy? Start your free policy assessment today and discover how AI can automate compliance and strengthen your security posture.

Installation

Deploy AI PolicyAdvisor to start intelligent policy management and automated governance across your infrastructure.

System Requirements

Python 3.9 or higher
Terraform 1.0+ (for infrastructure policy enforcement)
Docker 20.0+ (for containerized deployment)
Minimum 8GB RAM (16GB recommended for large environments)
Network access to cloud providers and policy repositories

Install via Package Manager

Installationbash

# Install via pip
pip install augment-policy-advisor

# Install via Docker
docker pull augment/policy-advisor:latest

# Install from source
git clone https://github.com/augment-ai/policy-advisor
cd policy-advisor
pip install -e .

# Install policy engines
pip install opa-python checkov terraform-compliance

# Verify installation
policy-advisor --version

Authentication and Setup

Configure API access and policy repositories:

Setupbash

# Set Augment API key
export AUGMENT_API_KEY=your_api_key_here

# Configure cloud provider access
export AWS_ACCESS_KEY_ID=your_aws_key
export AWS_SECRET_ACCESS_KEY=your_aws_secret
export AZURE_CLIENT_ID=your_azure_client_id
export AZURE_CLIENT_SECRET=your_azure_secret

# Initialize policy repository
policy-advisor init --org "your-company"

# Verify setup and permissions
policy-advisor health-check

Quick Start

Generate intelligent policy recommendations and start automated governance in minutes.

1. Scan Infrastructure

Infrastructure Scanbash

# Scan current infrastructure configuration
policy-advisor scan --provider aws --regions us-east-1,us-west-2

# Scan Terraform configurations
policy-advisor scan --terraform ./infrastructure/

# Scan Kubernetes manifests
policy-advisor scan --kubernetes ./k8s-manifests/

# Generate baseline policy recommendations
policy-advisor generate-baseline --compliance soc2,pci-dss

2. Generate Policy Recommendations

Policy Generationbash

# Generate security policies based on current infrastructure
policy-advisor generate --type security --framework cis-benchmark

# Generate compliance policies
policy-advisor generate --type compliance --standard soc2 --output policies/

# Generate custom policies for specific resources
policy-advisor generate --resource-type s3 --focus data-protection

# Review and approve generated policies
policy-advisor review --interactive

3. Enable Auto-Remediation

Auto-Remediation Setupbash

# Enable auto-remediation for low-risk violations
policy-advisor auto-remediation enable --risk-level low

# Configure approval workflows for medium/high risk changes
policy-advisor auto-remediation configure --approval-required medium,high

# Set up notification channels
policy-advisor notifications add --type slack --webhook "https://hooks.slack.com/..."

# Start continuous policy monitoring
policy-advisor monitor --daemon --interval 300

Configuration

Configure AI PolicyAdvisor to align with your organization's governance requirements and compliance standards.

Basic Configuration

.policy-advisor.yamlyaml

version: "1.0"
organization: "your-company"
environment: "production"

policy_sources:
  - name: "security-baseline"
    type: "git"
    url: "https://github.com/your-org/security-policies"
    branch: "main"
  - name: "compliance-templates"
    type: "built-in"
    frameworks: ["soc2", "pci-dss", "hipaa"]

scanning:
  providers:
    - aws
    - azure
    - gcp
  scope:
    regions: ["us-east-1", "us-west-2", "eu-west-1"]
    accounts: ["123456789012", "987654321098"]
  exclude_resources:
    - "test-*"
    - "*-sandbox"

policy_generation:
  ai_confidence_threshold: 0.8
  include_best_practices: true
  custom_rules_path: "./custom-rules/"
  output_formats: ["opa", "terraform", "yaml"]

auto_remediation:
  enabled: true
  risk_tolerance: "medium"
  require_approval:
    - "high_risk"
    - "cost_impact_high"
  notification_channels:
    - "slack"
    - "email"
  rollback_on_failure: true

compliance:
  frameworks:
    - name: "SOC2"
      controls: ["CC6.1", "CC6.6", "CC6.7"]
    - name: "PCI-DSS"
      requirements: ["3.4", "4.1", "8.2"]

Policy Templates

AI PolicyAdvisor includes comprehensive policy templates for common security and compliance scenarios.

Security Policies

• IAM access controls and permissions
• Network security and firewall rules
• Data encryption and protection
• Resource tagging and classification

Compliance Policies

• SOC2 Type II controls
• PCI-DSS requirements
• HIPAA safeguards
• GDPR data protection

Operational Policies

• Cost optimization rules
• Resource lifecycle management
• Backup and disaster recovery
• Performance monitoring

Governance Policies

• Change management processes
• Approval workflows
• Audit and logging requirements
• Risk assessment frameworks

Environment Variables

Configure AI PolicyAdvisor behavior using environment variables for different deployment scenarios.

Variable	Description	Default
AUGMENT_API_KEY	Your Augment API key	Required
POLICY_ADVISOR_CONFIG	Path to configuration file	.policy-advisor.yaml
POLICY_ADVISOR_DRY_RUN	Enable dry-run mode by default	false
POLICY_ADVISOR_LOG_LEVEL	Logging level (debug/info/warn/error)	info

Basic Usage

Learn the fundamental policy management patterns and governance workflows.

Policy Commands

Policy Managementbash

# Scan and analyze current infrastructure
policy-advisor scan --provider aws --output scan-results.json

# Generate policies based on scan results
policy-advisor generate --input scan-results.json --framework cis

# Validate existing policies
policy-advisor validate --policies ./policies/ --format opa

# Apply policies to infrastructure
policy-advisor apply --policies ./policies/ --dry-run

CLI Commands Reference

Complete reference for all policy management and governance commands.

generate

Generate intelligent policy recommendations based on infrastructure analysis

policy-advisor generate [options]

Options:
  --type <type>            Policy type (security|compliance|operational|governance)
  --framework <framework>  Compliance framework (soc2|pci-dss|hipaa|gdpr|cis)
  --provider <provider>    Cloud provider (aws|azure|gcp)
  --resource-type <type>   Specific resource type to focus on
  --output <path>          Output directory for generated policies
  --format <format>        Output format (opa|terraform|yaml|json)
  --confidence <level>     Minimum AI confidence threshold
  --include-remediation    Include auto-remediation actions
  --custom-rules <path>    Include custom rule templates

remediate

Execute automated remediation for policy violations

policy-advisor remediate [options]

Options:
  --violation-id <id>      Specific violation to remediate
  --policy <policy>        Policy name to enforce
  --resource <resource>    Target resource for remediation
  --risk-level <level>     Maximum risk level to auto-remediate
  --dry-run                Preview changes without executing
  --force                  Skip approval workflows
  --rollback-plan          Generate rollback instructions
  --notify                 Send notifications after remediation

Best Practices

Policy management best practices to maintain secure and compliant infrastructure.

Policy Management Strategy

Start with infrastructure scanning to understand current state
Generate baseline policies using industry frameworks
Implement policies incrementally to avoid disruption
Use dry-run mode to validate policy changes before applying
Monitor policy violations and adjust thresholds as needed
Regularly review and update policies based on new requirements

Auto-Remediation

Intelligent auto-remediation capabilities to automatically fix policy violations and misconfigurations.

Remediation Types

Low Risk

Automatic remediation without approval required

• Tag missing resources
• Enable logging
• Update security groups

Medium Risk

Requires approval before remediation

• Modify IAM permissions
• Change network settings
• Update resource configs

High Risk

Manual review and approval required

• Delete resources
• Major config changes
• Security modifications

Compliance Frameworks

Built-in support for major compliance frameworks with automated policy generation and monitoring.

Supported Frameworks

SOC 2

Type I & II

PCI DSS

v4.0

HIPAA

Security Rule

GDPR

Articles 25, 32

CIS

Benchmarks

NIST

CSF 2.0

ISO 27001

2022 Edition

Custom

Your Framework

API Integration

Integrate AI PolicyAdvisor into your governance workflows and compliance management systems.

REST API

API Usagebash

# Generate policies via API
curl -X POST https://api.augment.cfd/v1/policies/generate \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "infrastructure_scan": "scan-results.json",
    "framework": "soc2",
    "policy_types": ["security", "compliance"],
    "auto_remediation": true
  }'

Python SDK

Python Integrationpython

from augment_policy_advisor import PolicyAdvisor

# Initialize policy advisor
advisor = PolicyAdvisor(api_key=os.environ['AUGMENT_API_KEY'])

# Scan infrastructure
scan_result = await advisor.scan_infrastructure(
    provider='aws',
    regions=['us-east-1', 'us-west-2'],
    compliance_frameworks=['soc2', 'pci-dss']
)

# Generate policy recommendations
policies = await advisor.generate_policies(
    scan_result=scan_result,
    policy_types=['security', 'compliance'],
    confidence_threshold=0.8
)

print(f"Generated {len(policies)} policy recommendations")

# Enable auto-remediation
remediation_config = await advisor.configure_auto_remediation(
    risk_tolerance='medium',
    require_approval=['high_risk'],
    notification_channels=['slack', 'email']
)

# Monitor policy violations
violations = await advisor.get_policy_violations(
    severity='high',
    timeframe='24h'
)

API Reference

Complete API documentation for integrating policy management into your applications.

Policy Generation Endpoint

POST /v1/policies/generate

Generate intelligent policy recommendations based on infrastructure analysis.

Request Body:

{
  "infrastructure_scan": {
    "provider": "aws",
    "regions": ["us-east-1", "us-west-2"],
    "resources": ["s3", "ec2", "iam", "vpc"]
  },
  "policy_requirements": {
    "frameworks": ["soc2", "pci-dss"],
    "policy_types": ["security", "compliance", "governance"],
    "risk_tolerance": "medium"
  },
  "generation_options": {
    "include_remediation": true,
    "confidence_threshold": 0.8,
    "output_format": "opa",
    "custom_rules": true
  }
}

Response:

{
  "generation_id": "gen-123456",
  "status": "completed",
  "summary": {
    "total_policies": 47,
    "security_policies": 23,
    "compliance_policies": 18,
    "governance_policies": 6
  },
  "policies": [
    {
      "id": "policy-001",
      "name": "S3 Bucket Encryption Enforcement",
      "type": "security",
      "framework": "soc2",
      "confidence": 0.95,
      "description": "Ensure all S3 buckets have encryption enabled",
      "opa_rule": "package s3_encryption...",
      "terraform_code": "resource aws_s3_bucket_encryption...",
      "remediation": {
        "auto_fix": true,
        "risk_level": "low",
        "steps": [
          "Enable default encryption on S3 bucket",
          "Apply bucket policy to enforce encryption"
        ]
      },
      "compliance_mapping": {
        "soc2": ["CC6.1", "CC6.7"],
        "pci_dss": ["3.4"]
      }
    }
  ],
  "remediation_summary": {
    "auto_fixable": 32,
    "requires_approval": 12,
    "manual_review": 3
  }
}

Troubleshooting

Common issues and solutions when implementing policy management and governance.

Common Issues

Policy Conflicts

Generated policies conflict with existing organizational policies

Solutions:

Review and merge conflicting policies manually
Use custom rule templates for organization-specific requirements
Adjust AI confidence thresholds to reduce aggressive recommendations
Implement gradual policy rollout with testing periods

Auto-Remediation Failures

Automated remediation actions failing or causing issues

Solutions:

Check IAM permissions for remediation service accounts
Verify resource dependencies before remediation
Use dry-run mode to test remediation actions
Implement proper rollback procedures for failed changes

High False Positive Rate

Too many false positive policy violations reported

Solutions:

Fine-tune policy rules for your specific environment
Add exceptions for known compliant configurations
Adjust violation severity thresholds
Use environment-specific policy configurations

Policy Management Documentation Complete!

Ready to transform your governance strategy? Start your free policy assessment today and discover how AI can automate compliance and strengthen your security posture.

AI PolicyAdvisor

Intelligent Policy Generation

Auto-Remediation

Compliance Frameworks

Governance Best Practices

Installation

System Requirements

Install via Package Manager

Authentication and Setup

Quick Start

1. Scan Infrastructure

2. Generate Policy Recommendations

3. Enable Auto-Remediation

Configuration

Basic Configuration

Policy Templates

Security Policies

Compliance Policies

Operational Policies

Governance Policies

Environment Variables

Basic Usage

Policy Commands

CLI Commands Reference

generate

remediate

Best Practices

Policy Management Strategy

Auto-Remediation

Remediation Types

Low Risk

Medium Risk

High Risk

Compliance Frameworks

Supported Frameworks

API Integration

REST API

Python SDK

API Reference

Policy Generation Endpoint

POST /v1/policies/generate

Request Body:

Response:

Troubleshooting

Common Issues

Policy Conflicts

Auto-Remediation Failures

High False Positive Rate

Policy Management Documentation Complete!

AI PolicyAdvisor

Intelligent Policy Generation

Auto-Remediation

Compliance Frameworks

Governance Best Practices

Installation

System Requirements

Install via Package Manager

Authentication and Setup

Quick Start

1. Scan Infrastructure

2. Generate Policy Recommendations

3. Enable Auto-Remediation

Configuration

Basic Configuration

Policy Templates

Security Policies

Compliance Policies

Operational Policies

Governance Policies

Environment Variables

Basic Usage

Policy Commands

CLI Commands Reference

generate

remediate

Best Practices

Policy Management Strategy

Auto-Remediation

Remediation Types

Low Risk