Content Inspection Policies

Selection Guidelines

When selecting predefined policiesn consider the following requirements.

1. Regional Relevance: Choose policies that match your organization's geographic presence
2. Regulatory Requirements: Select policies aligned with applicable compliance frameworks
3. Data Types: Focus on policies that detect the sensitive data types present in your environment
4. Performance Impact: Consider the cumulative resource requirements of enabled policies

Policy Architecture

Detection Capabilities

The predefined policies can detect:

• Formatted Data: Numbers with specific formatting (e.g., XXX-XX-XXXX for SSN)
• Unformatted Data: Raw numbers without separators
• Contextual Matches: Data appearing with supporting keywords
• Validated Patterns: Data that passes algorithmic validation (e.g., checksum verification)

Integration with Content Inspection

Dataset Configuration

Enabled predefined policies become available for:

• Content Attributes Conditions: Use in dataset rules and filters
• Inspection Policies: Apply to specific content inspection scenarios
• Protection Policies: Integrate with data loss prevention rules
• Monitoring and Alerting: Generate incidents based on policy matches

Performance Considerations

• Resource Usage: Each enabled policy consumes system resources
• Processing Time: More policies increase content analysis time
• Accuracy Trade-offs: Balance between comprehensive coverage and false positives
• Scalability: Consider total rule count across all enabled policies

Content Inspection Rules

Selection Guidelines

When selecting predefined rules:

1. Data Relevance: Choose rules that match the types of sensitive data in your environment
2. Regional Requirements: Select rules appropriate for your geographic regions
3. Regulatory Compliance: Include rules required for applicable compliance frameworks
4. Performance Impact: Consider the cumulative processing overhead of enabled rules
5. Accuracy Requirements: Balance comprehensive coverage with acceptable false positive rates

Policy Association

Predefined rules are used within Content Identifier Policies to:

• Define Detection Scope: Specify which data types to detect
• Set Confidence Thresholds: Configure sensitivity levels
• Combine Multiple Rules: Create comprehensive detection policies
• Enable Contextual Detection: Leverage supporting evidence

Performance Considerations

Resource Usage

• CPU Impact: Processing overhead varies by rule complexity
• Memory Requirements: Rules consume system memory during execution
• I/O Considerations: Content scanning affects storage and network performance
• Scalability: Performance impact scales with content volume and rule count

Optimization Strategies

• Selective Enablement: Enable only necessary rules for your environment
• Threshold Tuning: Adjust confidence thresholds to balance accuracy and performance
• Rule Prioritization: Focus on high-value data types first
• Performance Monitoring: Track system performance with different rule configurations