Overview

Enterprise AI Security Controls Assessment is a comprehensive security evaluation platform designed to assess AI systems across 14 critical security domains. Built for enterprises deploying large language models and AI agents, this tool provides detailed visibility into security controls, compliance posture, and risk exposure across identity and access management, data protection, model security, API security, monitoring, and incident response capabilities.

The assessment engine evaluates organizations against multiple security frameworks and domains, enabling security teams to identify gaps, prioritize remediation, and demonstrate compliance to stakeholders. It is ideal for Chief Information Security Officers (CISOs), security architects, and AI governance teams responsible for securing enterprise AI deployments at scale.

This tool transforms complex AI security requirements into actionable assessments, helping enterprises move from reactive incident response to proactive security controls implementation across their AI infrastructure.

Usage

Sample Request

{
  "assessmentData": {
    "identity_access": {
      "mfa_enabled": true,
      "rbac_implemented": true,
      "service_accounts_managed": true
    },
    "data_protection": {
      "encryption_at_rest": true,
      "encryption_in_transit": true,
      "data_classification": "implemented"
    },
    "prompt_injection_defense": {
      "input_validation": true,
      "sanitization_rules": 12,
      "adversarial_testing": false
    },
    "model_protection": {
      "model_versioning": true,
      "access_controls": true,
      "audit_logging": true
    },
    "api_security": {
      "rate_limiting": true,
      "api_keys_rotated": true,
      "authentication_required": true
    },
    "agent_permissioning": {
      "least_privilege": true,
      "capability_restrictions": true,
      "action_audit_trail": true
    },
    "output_filtering": {
      "pii_detection": true,
      "content_filtering_rules": 25,
      "harmful_content_blocked": true
    },
    "monitoring_anomaly": {
      "real_time_monitoring": true,
      "anomaly_detection_enabled": true,
      "alert_threshold_configured": true
    },
    "compliance_mapping": {
      "iso_27001_aligned": true,
      "gdpr_compliant": true,
      "nist_framework_mapped": true
    },
    "incident_response": {
      "ir_plan_documented": true,
      "response_team_trained": true,
      "notification_procedures": true
    },
    "encryption_kms": {
      "kms_integrated": true,
      "key_rotation_policy": "90_days",
      "hsm_enabled": false
    },
    "risk_intelligence": {
      "threat_intel_integrated": true,
      "vulnerability_scanning": true,
      "risk_scoring_automated": true
    },
    "sessionId": "sess_550e8400e29b41d4a716446655440000",
    "timestamp": "2024-01-15T14:30:00Z"
  },
  "sessionId": "sess_550e8400e29b41d4a716446655440000",
  "userId": 12345,
  "timestamp": "2024-01-15T14:30:00Z"
}

Sample Response

{
  "assessment_id": "asg_660e8400e29b41d4a716446655440001",
  "sessionId": "sess_550e8400e29b41d4a716446655440000",
  "timestamp": "2024-01-15T14:30:45Z",
  "overall_security_score": 82,
  "risk_level": "medium",
  "domain_scores": {
    "identity_access": 90,
    "data_protection": 85,
    "prompt_injection_defense": 75,
    "model_protection": 88,
    "api_security": 87,
    "agent_permissioning": 80,
    "output_filtering": 78,
    "monitoring_anomaly": 85,
    "compliance_mapping": 92,
    "incident_response": 80,
    "encryption_kms": 88,
    "risk_intelligence": 82
  },
  "findings": [
    {
      "domain": "prompt_injection_defense",
      "severity": "high",
      "finding": "Adversarial testing program not implemented",
      "recommendation": "Establish red-team testing for prompt injection scenarios"
    },
    {
      "domain": "output_filtering",
      "severity": "medium",
      "finding": "Content filtering rules below recommended threshold",
      "recommendation": "Increase filtering rules to 40+ for comprehensive coverage"
    }
  ],
  "compliance_status": {
    "iso_27001": "aligned",
    "gdpr": "compliant",
    "nist_csf": "mapped"
  },
  "next_steps": [
    "Implement adversarial testing program for prompt injection",
    "Expand output filtering rule set",
    "Schedule quarterly re-assessment"
  ]
}

Endpoints

GET /

Summary: Root

Description: Health check endpoint to verify API availability and connectivity.

Parameters: None

Response: Returns a successful health status response (HTTP 200).

POST /api/ai-security/assess

Summary: Assess Security

Description: Generate a comprehensive AI security controls assessment across all 14 security domains based on provided assessment data.

Parameters:

Response: Returns detailed security assessment with domain scores, risk findings, compliance status, and remediation recommendations.

GET /api/ai-security/domains

Summary: Get Domains

Description: Retrieve definitions and metadata for all 14 security assessment domains.

Parameters: None

Response: Returns array of security domain definitions including domain keys, names, descriptions, and assessment criteria.

GET /api/ai-security/domain/{domain_key}

Summary: Get Domain Details

Description: Retrieve detailed information, control requirements, and assessment criteria for a specific security domain.

Parameters:

Response: Returns detailed domain specification including control objectives, assessment questions, scoring criteria, and compliance mappings.

Pricing

About

ToolWeb.in - 200+ security APIs, CISSP & CISM, platforms: Pay-per-run, API Gateway, MCP Server, OpenClaw, RapidAPI, YouTube.

• toolweb.in
• portal.toolweb.in
• hub.toolweb.in
• toolweb.in/openclaw/
• rapidapi.com/user/mkrishna477
• youtube.com/@toolweb-009

References

• Kong Route: https://api.toolweb.in/security/entaisecconass
• API Docs: https://api.toolweb.in:8201/docs