Junglemap Security Assessment
Security & Compliance
Junglemap is a new type of user awareness training tool. It uses a technique called 'NanoLearning', that offers short, simple lessons over a period of time, so users aren't flooded with too much information.
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 16, 2026 at 06:59 AM
AI Integration Security
🔒 9th DimensionAssess whether Junglemap 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 | F | Needs Improvement |
| Risk Level | High | Not recommended |
| Enterprise Readiness | 39% | Gaps Exist |
| Critical Gaps | 0 | None |
Security Assessment
| Category | Score | Status | Action Required |
|---|---|---|---|
| 🟢 Breach History | 100/100 | excellent | Maintain current controls |
| 🟠 Incident Response | 60/100 | needs_improvement | Monitor and improve gradually |
| 🟠 API Security | 30/100 | needs_improvement | Add rate limiting and authentication |
| 🟠 Infrastructure Security | 30/100 | needs_improvement | Review and enhance controls |
| 🟠 Data Protection | 30/100 | needs_improvement | Implement encryption at rest, TLS/HTTPS, and 1 more |
| 🟠 Identity & Access Management | 25/100 | needs_improvement | URGENT: Implement compensating controls immediately |
| 🟠 Compliance & Certification | 10/100 | needs_improvement | Review and enhance controls |
| 🟠 Vulnerability Management | 0/100 | needs_improvement | Review and enhance controls |
Overall Grade: F (23/100)
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 | ✅ Published | Formal SLA available |
| API Versioning | ⚠️ None | No version control |
| Support Channels | ℹ️ 1 channels |
Operational Facts Extracted: 5 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 Junglemap 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
- ●References GDPR Article 25 (Data protection by design and default)
- ●Offers OWASP Top 10 and ISO27001 training to customers
- ●Focuses on security awareness and secure development practices
⚠️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 Junglemap 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 (With Warnings)
community⚠️ Only high-risk MCP servers found - not recommended
Junglemap has MCP server support, but with security concerns.
💡Recommendations
- →❌ Poor AI readiness - not recommended for AI workflows
AI Readiness measures whether Junglemapprovides 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 Junglemap.
API Intelligence
No public API documentation found. This vendor may not offer a public API.
No API Found
We didn't find public API documentation for this vendor. Many SaaS vendors, especially SMB-focused tools, don't offer public REST APIs. This is normal and not a data quality issue.
Note: Not all SaaS vendors offer public APIs. This is completely normal, especially for SMB-focused tools. It doesn't affect the security assessment.
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 Junglemap's security posture, operational maturity, authentication capabilities, security automation APIs, and breach intelligence.
Operational Maturity
Support, SLAs, and documentation quality
Support Channels
Security Automation APIs
Programmatic user management, data operations, and security controls
Compare with Alternatives
How does Junglemap stack up against similar applications in Security & Compliance? Click column headers to sort by different criteria.
| Application | Overall ScoreScore↓ | Grade | AI Security 🤖AI 🤖⇅ | Action |
|---|---|---|---|---|
44/100🏆 | C | N/A | View ProfileView | |
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35/100 | D+ | N/A | View ProfileView | |
30/100 | D | N/A | View ProfileView | |
25/100 | F | N/A | View ProfileView | |
JunglemapCurrent | 23/100 | F | 4.5/100 | |
23/100 | F | N/A | View ProfileView |
Security Comparison Insight
18 alternative(s) have higher overall security scores. Review the comparison to understand security tradeoffs for your specific requirements.