Guidebook Security Assessment
Hospitality & Events
Guidebook allows organizations to create mobile guides to their events and venues.
9-Dimension Security Framework
Identity & Access Management
Compliance & Certification
AI Integration Security
NEWAPI Security
Infrastructure Security
Data Protection
Vulnerability Management
Breach History
Incident Response
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 17, 2026 at 06:03 PM
Assessment Transparency
See exactly what data backs this security assessment
Data Coverage
4/8 security categories assessed
Score based on 4 of 8 categories. Missing categories could not be assessed due to lack of public data or vendor restrictions.
Evaluation Friction
Evaluation friction estimates how long it typically takes to fully evaluate this vendor's security practices, from initial contact to complete assessment.
Transparency indicators show data completeness and vendor accessibility
AI Integration Security
🔒 9th DimensionAssess whether Guidebook 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
AI Security
Safety controls for AI agents
Comprehensive Security Analysis
In-depth assessment with detailed recommendations
Security Analysis
Executive Summary
| Metric | Value | Assessment |
|---|---|---|
| Security Grade | D+ | Needs Improvement |
| Risk Level | High | Not recommended |
| Enterprise Readiness | 45% | Gaps Exist |
| Critical Gaps | 0 | None |
Security Assessment
| Category | Score | Status | Action Required |
|---|---|---|---|
| 🟢 Breach History | 100/100 | excellent | Maintain current controls |
| 🟡 Vulnerability Management | 85/100 | good | Maintain current controls |
| 🟡 API Security | 70/100 | good | Monitor and improve gradually |
| 🟠 Incident Response | 60/100 | needs_improvement | Monitor and improve gradually |
| 🟠 Compliance & Certification | 45/100 | needs_improvement | Review and enhance controls |
| 🟠 Infrastructure Security | 30/100 | needs_improvement | Review and enhance controls |
| 🟠 Identity & Access Management | 25/100 | needs_improvement | URGENT: Implement compensating controls immediately |
| 🟠 Data Protection | 20/100 | needs_improvement | Implement encryption at rest, TLS/HTTPS, and 1 more |
Overall Grade: D+ (38/100)
Critical Security Gaps
| Gap | Severity | Business Impact | Recommendation |
|---|---|---|---|
| 🟡 No public security documentation or audit reports | MEDIUM | 40-80 hours of security assessment overhead | Request security audit reports (SOC 2, pen tests) and security whitepaper |
Total Gaps Identified: 1 | Critical/High Priority: 0
Compliance Status
| Framework | Status | Priority |
|---|---|---|
| SOC 2 | ❌ Missing | High Priority |
| ISO 27001 | ❌ Missing | High Priority |
| GDPR | ❌ Missing | High Priority |
| HIPAA | ❓ Unknown | Verify Status |
| PCI DSS | ❓ Unknown | Verify Status |
Warning: No compliance certifications verified. Extensive due diligence required.
Operational Excellence
| Metric | Status | Details |
|---|---|---|
| Status Page | ❌ Not Found | N/A |
| Documentation Quality | ❌ 0/10 | No SDKs |
| SLA Commitment | ❌ None | No public SLA |
| API Versioning | ⚠️ None | No version control |
| Support Channels | ℹ️ 0 channels |
Operational Facts Extracted: 2 data points from operational_maturity enrichment
Integration Requirements
| Aspect | Details | Notes |
|---|---|---|
| Setup Time | 3-5 days (manual setup required) | Estimated deployment timeline |
| Known Issues | Manual user provisioning may be required, Limited API automation capabilities, No automated user lifecycle management, Additional security controls needed | Implementation considerations |
⚠️ Inherent Risk Consideration
Data Sensitivity: This application stores sensitive data:
Risk Level: LOW - Contains
Compliance & Certifications
AI Integration Security Assessment
Industry-first assessment evaluating whether Guidebook 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
✅Excellent Security Features
- ●DPA available with GDPR compliance: 'Controller means the natural or legal person... This DPA is supplemental to, and forms an integral part of, the Agreement' and references to 'California Personal Information' and CCPA compliance.
- ●Responsible disclosure program exists: 'Guidebook participates in responsible disclosure to encourage the responsible disclosure of any vulnerabilities to us... If you have a security concern or bug to report, please contact security@guidebook.com for an invitation to join the responsible disclosure program.'
- ●GDPR compliance with DPA available
- ●Responsible disclosure/bug bounty program
- ●Third-party penetration testing conducted
⚠️Security Gaps & Recommendations
- ●No oauth scopes
- ●No token expiration
- ●No token rotation
- ●No service accounts
- ●No mfa enforcement
- ●No pii redaction
- ●No training opt out
- ●No data residency
- ●No read only tokens
- ●No granular permissions
AI Integration Security evaluates whether Guidebook 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
Official or community MCP server support
API docs, SDKs, code examples
API reference, auth flows, error handling
MCP Server Available
communityGuidebook supports Anthropic's Model Context Protocol (MCP) for secure AI agent integration.
💡Recommendations
- →❌ Poor AI readiness - not recommended for AI workflows
AI Readiness measures whether Guidebookprovides 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 Guidebook.
API Intelligence
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 DocumentationAI-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 Guidebook's security posture, operational maturity, authentication capabilities, security automation APIs, and breach intelligence.
Operational Data Not Yet Assessed
We haven't collected operational maturity data for Guidebook yet.
Security Automation APIs
Programmatic user management, data operations, and security controls
Frequently Asked Questions
Common questions about Guidebook
API documentation should include examples of each call, parameters, and expected responses. Code samples for commonly used languages such as Java, JavaScript, PHP, and Python should be provided. Each API request should be explained in detail, including sample error messages and troubleshooting tips.
Source: Search insights from Google, Bing
API documentation should offer a comprehensive overview of every API endpoint and operation, including parameters, headers, and request and response bodies. It should also thoroughly explain the relevant data models, including their required attributes and any default, minimum, and maximum values.
Source: Search insights from Google, Bing
Best practices for creating good API documentation Use Clear Language: When writing API documentation, it's important to keep in mind that users may have varying levels of technical expertise. For that reason, always use clear, straightforward language to ensure it's understandable for everyone.
Source: Search insights from Google, Bing
Compare with Alternatives
How does Guidebook stack up against similar applications in Hospitality & Events? Click column headers to sort by different criteria.
| Application | Overall ScoreScore↓ | Grade | AI Security 🤖AI 🤖⇅ | Action |
|---|---|---|---|---|
39/100🏆 | D+ | N/A | View ProfileView | |
GuidebookCurrent | 38/100 | D+ | 15.5/100 | |
36/100 | D+ | N/A | View ProfileView | |
33/100 | D | N/A | View ProfileView | |
30/100 | D | N/A | View ProfileView | |
22/100 | F | N/A | View ProfileView | |
22/100 | F | N/A | View ProfileView |
Security Comparison Insight
4 alternative(s) have higher overall security scores. Review the comparison to understand security tradeoffs for your specific requirements.