Koala AI Security Assessment
AI & Machine Learning
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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 07:14 AM
Assessment Transparency
See exactly what data backs this security assessment
Data Coverage
7/8 security categories assessed
Score based on 7 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
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 | 41% | 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 |
| 🟠 Incident Response | 60/100 | needs_improvement | Monitor and improve gradually |
| 🟠 API Security | 50/100 | 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 | 0/100 | needs_improvement | Review and enhance controls |
Overall Grade: F (27/100)
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 2 channels | Email, Chat |
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
API Intelligence
Transparency indicators showing API availability and access requirements for Koala AI.
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 Koala AI'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
Frequently Asked Questions
Common questions about Koala AI
At minimum, an API reference should contain a guide called "Using the name-of-api", which will provide a basic guide to how to use the API. More complex APIs may require multiple usage guides to explain how to use different aspects of the API.
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Source: Search insights from Google, Bing
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Source: Search insights from Google, Bing
Postman automatically creates documentation for a collection you create. With types in collections, you can build out this documentation by designing your API with the Postman Collection format. You can add more details to request parameters, headers, and bodies in the collection, such as data ty...
Source: Search insights from Google, Bing
Compare with Alternatives
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Koala AICurrent | 27/100 | F | N/A | |
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Security Comparison Insight
15 alternative(s) have higher overall security scores. Review the comparison to understand security tradeoffs for your specific requirements.