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Gandi Security Assessment

AI & Machine Learning

Gandi is a domain name registrar approved by ICANN with operations in Europe and the United States.

Data: 7/8(88%)
LOW Friction
SECURITY VERIFIED • SAASPOSTURE • JAN 2026
C
Top 50%
Gandi logoGandi
SaaS Posture Assessment

9-Dimension Security Framework

Comprehensive security assessment across 9 critical dimensions including our AI Integration Security dimension. Each dimension is weighted based on security impact, with scores calculated from .
47
Overall Score
Weighted average across all dimensions
C+
Security Grade
Top 50%
65% confidence

Identity & Access Management

A
Score:0
Weight:33%
Grade:A (Top 10%)

Compliance & Certification

F
Score:0
Weight:19%
Grade:F (Critical)

AI Integration Security

NEW
A+
Score:0
Weight:12%
Grade:A+ (Top 5%)

API Security

A+
Score:0
Weight:14%
Grade:A+ (Top 5%)

Infrastructure Security

D
Score:0
Weight:14%
Grade:D (Below Avg)

Data Protection

D+
Score:0
Weight:10%
Grade:D+ (Below Avg)

Vulnerability Management

A+
Score:0
Weight:3%
Grade:A+ (Top 5%)

Breach History

A+
Score:0
Weight:1%
Grade:A+ (Top 5%)

Incident Response

A
Score:0
Weight:1%
Grade:A (Top 10%)
🤖

AI Integration Security Assessment (9th Dimension)

Assess whether SaaS applications are safe for AI agent integration using Anthropic's Model Context Protocol (MCP) standards. Identify Shadow AI risks before they become breaches and make safer AI tool decisions than your competitors.

Last updated: January 16, 2026 at 06:55 AM

Assessment Transparency

See exactly what data backs this security assessment

Data Coverage

7/8 security categories assessed

88%
complete
Identity & Access
Available
Compliance
Available
API Security
Available
Infrastructure
Available
Data Protection
Available
Vulnerability Mgmt
Available
Incident Response
Available
Breach History
Missing

Score based on 7 of 8 categories. Missing categories could not be assessed due to lack of public data or vendor restrictions.

Evaluation Friction

LOW
Estimated: 1-2 weeks
0% public documentation accessibility

Evaluation friction estimates how long it typically takes to fully evaluate this vendor's security practices, from initial contact to complete assessment.

30 data sources successful

Transparency indicators show data completeness and vendor accessibility

🤖

AI Integration Security

🔒 9th Dimension

Assess whether Gandi is safe for AI agent integration. Identify Shadow AI risks before they become breaches using Anthropic's Model Context Protocol (MCP) standards.

🔌

AI Readiness

Infrastructure for AI integration

D
44/100
MCP Available
🔌 MCP Server50/100
👨‍💻 Developer Experience0/100
📚 Documentation80/100
Top Recommendation:
⚠️ Official MCP server not found. Best alternative: https://github.com/StackExchange/dnscontrol (Trust: 50/100)
🛡️

AI Security

Safety controls for AI agents

A+
79/100
TRUSTED_WITH_REVIEW
🔐 Authentication100%
🔒 Access Control100%
👁️ Observability60%
🔏 Data Privacy50%
✅ Excellent Security:
Each PAT has associated scoped permissions and resources that are defined when the token is created... a form will let you choose a fine-grained scope for the PATs
⚠️ Needs Attention:
No training opt out
🛡️Unique Assessment: Evaluating AI agent integration safety helps you make safer AI tool decisions than your competitors

Comprehensive Security Analysis

In-depth assessment with detailed recommendations

Security Analysis

Executive Summary

MetricValueAssessment
Security GradeC+Needs Improvement
Risk LevelHighNot recommended
Enterprise Readiness49%Gaps Exist
Critical Gaps0None

Security Assessment

CategoryScoreStatusAction Required
🟢 Breach History100/100excellentMaintain current controls
🟡 Vulnerability Management85/100goodMaintain current controls
🟡 API Security70/100goodMonitor and improve gradually
🟠 Identity & Access Management60/100needs_improvementMonitor and improve gradually
🟠 Incident Response60/100needs_improvementMonitor and improve gradually
🟠 Data Protection35/100needs_improvementImplement encryption at rest, TLS/HTTPS, and 1 more
🟠 Infrastructure Security30/100needs_improvementReview and enhance controls
🟠 Compliance & Certification10/100needs_improvementReview and enhance controls

Overall Grade: C+ (47/100)

Critical Security Gaps

GapSeverityBusiness ImpactRecommendation
🟢 No dedicated security documentation pageLOWExtended due diligence processRequest security whitepaper or public audit reports

Total Gaps Identified: 1 | Critical/High Priority: 0

Compliance Status

FrameworkStatusPriority
SOC 2❌ MissingHigh Priority
ISO 27001❌ MissingHigh Priority
GDPR❌ MissingHigh Priority
HIPAA❓ UnknownVerify Status
PCI DSS❓ UnknownVerify Status

Warning: No compliance certifications verified. Extensive due diligence required.

Operational Excellence

MetricStatusDetails
Status Page✅ Availablehttps://status.gandi.net
Documentation Quality✅ 8/10No SDKs
SLA Commitment✅ PublishedFormal SLA available
API Versioning✅ YesBreaking changes managed
Support Channelsℹ️ 1 channelsChat

Operational Facts Extracted: 7 data points from operational_maturity enrichment

Integration Requirements

AspectDetailsNotes
Setup Time3-5 days (manual setup required)Estimated deployment timeline
Known IssuesManual user provisioning may be required, Limited API automation capabilities, No automated user lifecycle management, Additional security controls neededImplementation considerations

⚠️ Inherent Risk Consideration

Data Sensitivity: This application stores sensitive data:

Risk Level: LOW - Contains

Compliance & Certifications

0
Active
0
Pending
6
Not Certified

AI Integration Security Assessment

Industry-first assessment evaluating whether Gandi is safe and ready for AI agent integration. Covers AI security controls and readiness infrastructure for Anthropic's Model Context Protocol (MCP).

AI Integration Security

Industry-first assessment for AI agent safety

A+
GRADE
Top 5%
79.0
AI Security Score
🔐Authentication
100
🛡️Access Control
100
👁️Observability
60
🔒Data Privacy
50
📊Confidence Score
92%
TRUSTED_WITH_REVIEW

Excellent Security Features

  • Each PAT has associated scoped permissions and resources that are defined when the token is created... a form will let you choose a fine-grained scope for the PATs
  • For security reasons, PATs expire and a token rotation strategy must be considered to properly implement authentication against the Gandi API using PATs
  • To renew a personal access token, the Renew API of the token has to be used. See Renew PAT API
  • Each PAT has associated scoped permissions and resources that are defined when the token is created... a form will let you choose a fine-grained scope for the PATs
  • Gandi's API is rate limited; you can perform a maximum of 1000 requests per minute from the same IP address
  • ISO 27001 certification... internal and external security audits will be carried out on an annual basis, to detect any weaknesses and ensure the ongoing development of existing security measures
  • Fine-grained PAT scopes with organization-level restrictions
  • Token rotation via dedicated Renew API
  • Documented rate limiting (1000 req/min)

⚠️Security Gaps & Recommendations

  • No training opt out
  • No data residency
  • No ai attribution
  • No webhooks
  • No soc2 certified
  • No AI training opt-out documented for customer data
  • No data residency or regional endpoint controls
  • No webhooks for security event notifications
ℹ️

AI Integration Security evaluates whether Gandi is safe for AI agent access. This assessment considers authentication strength, access controls, observability capabilities, and data privacy protections when APIs are accessed by AI systems like Claude Code, GitHub Copilot, or custom AI agents.

AI Readiness Assessment

Evaluates readiness for AI agent integration

D
GRADE
Below Avg
44.0
AI Readiness Score
🔌
MCP Server Availability(40% weight)

Official or community MCP server support

50
👨‍💻
Developer Experience(30% weight)

API docs, SDKs, code examples

0
📚
Documentation Quality(30% weight)

API reference, auth flows, error handling

80

MCP Server Available

community

Gandi supports Anthropic's Model Context Protocol (MCP) for secure AI agent integration.

View MCP Server

💡Recommendations

  • ⚠️ Official MCP server not found. Best alternative: https://github.com/StackExchange/dnscontrol (Trust: 50/100)
  • ⚠️ ⚠️ Use with caution - review code before use
  • ⚠️ Limited AI capabilities - consider alternatives
📊Confidence Score
90%
🕐Last Verified
10/14/2025
ℹ️

AI Readiness measures whether Gandiprovides the infrastructure and developer resources necessary for secure AI agent integration. High readiness indicates official MCP server support, comprehensive API documentation, and developer-friendly tools.

API Intelligence

Transparency indicators showing API availability and access requirements for Gandi.

API Intelligence

Incomplete

API intelligence structure found but no operations extracted. May require manual review.

Incomplete API Intelligence

Our automated extraction found API documentation but couldn't extract specific operations. This may require manual review or vendor assistance.

View Vendor Documentation

AI-Powered Stakeholder Decision Analysis

LLM-generated security perspectives tailored to CISO, CFO, CTO, and Legal stakeholder needs. All analysis is grounded in verified API data with zero fabrication.

Security Posture & Operational Capabilities

Comprehensive assessment of Gandi's security posture, operational maturity, authentication capabilities, security automation APIs, and breach intelligence.

🏢

Operational Maturity

Support, SLAs, and documentation quality

Support Channels

💬
Live Chat

Documentation Quality

80% • Excellent
🤖

Security Automation APIs

Programmatic user management, data operations, and security controls

Compare with Alternatives

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AI 🤖
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💡

Security Comparison Insight

4 alternative(s) have higher overall security scores. Review the comparison to understand security tradeoffs for your specific requirements.