Zero Trust For AI Maturity Assessment

Evaluates Zero Trust maturity across 6 principles for both Conventional (Infrastructure) and AI Era (Data & Model) dimensions.

ToolWeb@krishnakumarmahadevan-cmd

Install

openclaw skills install @krishnakumarmahadevan-cmd/toolweb-zero-trust-for-ai-maturity-assessment

Overview

The Zero Trust for AI Maturity Assessment tool provides organizations with a comprehensive evaluation framework for implementing Zero Trust security principles in both traditional infrastructure and AI/ML environments. This tool assesses maturity across six critical Zero Trust principles: Verification, Least Privilege, Assume Breach, Microsegmentation, Continuous Monitoring, and Supply Chain Security.

The assessment is uniquely designed to evaluate two distinct dimensions: Conventional (Infrastructure) and AI Era (Data & Model). This dual-dimension approach recognizes that AI systems introduce novel security challenges requiring tailored Zero Trust strategies beyond traditional network and access controls. Organizations can benchmark their security posture, identify gaps, and prioritize remediation efforts with data-driven insights.

Ideal users include security architects, CISOs, AI/ML team leaders, and enterprise security teams seeking to implement Zero Trust frameworks that account for both legacy infrastructure and emerging AI workloads. The tool supports compliance initiatives, risk assessments, and strategic security planning.

Usage

Example Request:

json

{
  "sessionId": "sess-abc123def456",
  "userId": 1001,
  "timestamp": "2024-01-15T10:30:00Z",
  "assessmentData": {
    "sessionId": "sess-abc123def456",
    "timestamp": "2024-01-15T10:30:00Z",
    "verification_conventional": {
      "mfa_enabled": true,
      "mfa_coverage_percent": 95,
      "device_verification": "enabled"
    },
    "verification_ai": {
      "model_provenance_tracking": true,
      "data_lineage_implemented": true
    },
    "least_privilege_conventional": {
      "rbac_implemented": true,
      "principle_of_least_privilege_score": 78
    },
    "least_privilege_ai": {
      "model_access_controls": true,
      "training_data_access_restricted": true
    },
    "assume_breach_conventional": {
      "segmentation_level": "advanced",
      "incident_response_plan": "documented"
    },
    "assume_breach_ai": {
      "model_poisoning_detection": true,
      "adversarial_testing_frequency": "quarterly"
    },
    "microsegmentation_conventional": {
      "network_segments": 12,
      "segment_isolation_score": 85
    },
    "microsegmentation_ai": {
      "model_isolation": true,
      "inference_sandbox": "enabled"
    },
    "continuous_monitoring_conventional": {
      "siem_deployed": true,
      "log_retention_days": 365
    },
    "continuous_monitoring_ai": {
      "model_drift_monitoring": true,
      "inference_anomaly_detection": "enabled"
    },
    "supply_chain_conventional": {
      "vendor_assessment_process": "defined",
      "sbom_requirement": true
    },
    "supply_chain_ai": {
      "model_source_verification": true,
      "training_data_provenance_verified": true
    }
  }
}

Example Response:

json

{
  "status": "success",
  "assessment_id": "ztai-2024-001",
  "sessionId": "sess-abc123def456",
  "timestamp": "2024-01-15T10:30:45Z",
  "overall_maturity_score": 82,
  "conventional_maturity_score": 84,
  "ai_maturity_score": 80,
  "principle_scores": {
    "verification": {
      "conventional": 95,
      "ai": 88
    },
    "least_privilege": {
      "conventional": 78,
      "ai": 82
    },
    "assume_breach": {
      "conventional": 80,
      "ai": 75
    },
    "microsegmentation": {
      "conventional": 85,
      "ai": 78
    },
    "continuous_monitoring": {
      "conventional": 88,
      "ai": 85
    },
    "supply_chain": {
      "conventional": 72,
      "ai": 68
    }
  },
  "recommendations": [
    {
      "principle": "supply_chain_ai",
      "priority": "high",
      "action": "Implement model source verification and training data provenance tracking"
    },
    {
      "principle": "assume_breach_ai",
      "priority": "medium",
      "action": "Increase adversarial testing frequency and enhance model poisoning detection"
    }
  ]
}

Endpoints

GET /

Health Check Endpoint

Performs a basic health check to verify the API is operational.

Parameters: None

Response:

Status: 200 OK
Content-Type: application/json
Body: Health status confirmation

POST /api/zt-ai/assess

Assess Zero Trust for AI Maturity

Generates a comprehensive Zero Trust for AI maturity assessment based on provided assessment data across both conventional and AI dimensions.

Parameters:

Name	Type	Required	Location	Description
assessmentData	AssessmentData object	Yes	Body	Assessment data containing maturity indicators for all 6 principles across conventional and AI dimensions
sessionId	string	Yes	Body	Unique identifier for the assessment session
userId	integer or null	No	Body	Optional user identifier associated with the assessment
timestamp	string	Yes	Body	ISO 8601 formatted timestamp of assessment submission

AssessmentData Fields:

Field	Type	Required	Description
verification_conventional	object	No	Conventional infrastructure verification controls (MFA, device verification, etc.)
verification_ai	object	No	AI-era verification controls (model provenance, data lineage, etc.)
least_privilege_conventional	object	No	Conventional least privilege implementation (RBAC, permission scoping)
least_privilege_ai	object	No	AI-era least privilege (model access, training data access)
assume_breach_conventional	object	No	Conventional breach assumption controls (segmentation, incident response)
assume_breach_ai	object	No	AI-era breach assumption (model poisoning detection, adversarial testing)
microsegmentation_conventional	object	No	Conventional network microsegmentation details
microsegmentation_ai	object	No	AI-era microsegmentation (model isolation, inference sandbox)
continuous_monitoring_conventional	object	No	Conventional monitoring capabilities (SIEM, log retention)
continuous_monitoring_ai	object	No	AI-era monitoring (model drift, inference anomaly detection)
supply_chain_conventional	object	No	Conventional supply chain security (vendor assessment, SBOM)
supply_chain_ai	object	No	AI-era supply chain security (model verification, data provenance)
sessionId	string	Yes	Unique identifier for the assessment session
timestamp	string	Yes	ISO 8601 formatted timestamp

Response:

Status: 200 OK
Content-Type: application/json
Body: Detailed maturity assessment with overall scores, principle-specific scores, and recommendations

Error Responses:

Status: 422 Unprocessable Entity (validation error)

GET /api/zt-ai/principles

Get All Zero Trust Principle Definitions

Retrieves detailed definitions and guidelines for all six Zero Trust principles as they apply to both conventional and AI dimensions.

Parameters: None

Response:

Status: 200 OK
Content-Type: application/json
Body: Array of principle definitions with descriptions, assessment criteria, and best practices for conventional and AI contexts

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

Get Domain Details

Retrieves detailed information, assessment guidance, and benchmark data for a specific Zero Trust domain.

Parameters:

Name	Type	Required	Location	Description
domain_key	string	Yes	Path	The key identifier for a Zero Trust principle or domain (e.g., "verification_conventional", "assume_breach_ai")

Response:

Status: 200 OK
Content-Type: application/json
Body: Detailed domain information including assessment criteria, maturity levels, implementation guidelines, and reference controls

Error Responses:

Status: 422 Unprocessable Entity (validation error)

Pricing

Plan	Calls/Day	Calls/Month	Price
Free	5	50	Free
Developer	20	500	$39/mo
Professional	200	5,000	$99/mo
Enterprise	100,000	1,000,000	$299/mo

About

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

References

Kong Route: https://api.toolweb.in/security/zertruforaimatass
API Docs: https://api.toolweb.in:8161/docs

Zero Trust For AI Maturity Assessment

Install

Overview

Usage

Endpoints

GET /

POST /api/zt-ai/assess

GET /api/zt-ai/principles

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

Pricing

About

References

Related skills