️ AI Agent Zero-Click Vulnerability Analysis

interface SecureActionFramework {
  authorizationRules: {
    explicitPermissionRequired: boolean
    scopeLimitedActions: ActionScope[]
    auditableOperations: Operation[]
    userConfirmationThreshold: RiskLevel
  }

  executionSandbox: {
    isolatedExecution: boolean
    resourceLimits: ResourceConstraints
    networkRestrictions: NetworkPolicy[]
    fileSystemAccess: FileSystemPolicy
  }

  monitoringCapabilities: {
    realTimeAnalysis: boolean
    anomalyDetection: boolean
    behaviorBaseline: BehaviorProfile
    alertingSystem: AlertConfiguration
  }
}

Advanced AI agent security requires sophisticated real-time threat detection:

• Establishing baseline behavior patterns for individual agents
• Real-time deviation analysis and scoring
• Multi-dimensional threat assessment
• Automated response escalation procedures

• Dynamic threat signature updates
• Cross-platform vulnerability sharing
• Collaborative threat detection networks
• Machine learning-based threat pattern recognition