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Twin24 Security Assessment

AI & Machine Learning

Twin is automation platform that synthesizes human speech to develop conversational voice and chat bots.

Data: 7/8(88%)
HIGH Friction
SECURITY VERIFIED • SAASPOSTURE • JAN 2026
D
Bottom 30%
Twin24 logoTwin24
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 .
38
Overall Score
Weighted average across all dimensions
D+
Security Grade
Below Avg
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
C
Score:0
Weight:12%
Grade:C (Top 50%)

API Security

B
Score:0
Weight:14%
Grade:B (Top 25%)

Infrastructure Security

F
Score:0
Weight:14%
Grade:F (Critical)

Data Protection

F
Score:0
Weight:10%
Grade:F (Critical)

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 05:50 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

HIGH
Estimated: 4+ 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.

31 data sources successful

Transparency indicators show data completeness and vendor accessibility

🤖

AI Integration Security

🔒 9th Dimension

Assess whether Twin24 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

F
15/100
No MCP Server
🔌 MCP Server0/100
👨‍💻 Developer Experience0/100
📚 Documentation50/100
Top Recommendation:
❌ No MCP servers found - AI agent integration not available
🛡️

AI Security

Safety controls for AI agents

C
44.5/100
NOT_RECOMMENDED
🔐 Authentication40%
🔒 Access Control100%
👁️ Observability50%
🔏 Data Privacy0%
✅ Excellent Security:
List of user permissions' keys. get, Update permissions of the user patch, Change permissions of the user put, List of roles with permissions get, Create role post, Role details get, Update role put - extensive RBAC system with user permissions and role management
⚠️ Needs Attention:
No oauth scopes
🛡️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 GradeD+Needs Improvement
Risk LevelHighNot recommended
Enterprise Readiness45%Gaps Exist
Critical Gaps0None

Security Assessment

CategoryScoreStatusAction Required
🟢 Breach History100/100excellentMaintain current controls
🟡 Vulnerability Management85/100goodMaintain current controls
🟠 Identity & Access Management60/100needs_improvementMonitor and improve gradually
🟠 Incident Response60/100needs_improvementMonitor and improve gradually
🟠 API Security50/100needs_improvementAdd rate limiting and authentication
🟠 Infrastructure Security20/100needs_improvementReview and enhance controls
🟠 Data Protection20/100needs_improvementImplement encryption at rest, TLS/HTTPS, and 1 more
🟠 Compliance & Certification0/100needs_improvementReview and enhance controls

Overall Grade: D+ (38/100)

Critical Security Gaps

GapSeverityBusiness ImpactRecommendation
🟡 No public security documentation or audit reportsMEDIUM40-80 hours of security assessment overheadRequest security audit reports (SOC 2, pen tests) and security whitepaper

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❌ Not FoundN/A
Documentation Quality❌ 3/10No SDKs
SLA Commitment✅ PublishedFormal SLA available
API Versioning⚠️ NoneNo version control
Support Channelsℹ️ 0 channels

Operational Facts Extracted: 5 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

Authentication Capabilities

MethodTier RequirementEvidence Source
✅ SSO (SAML/OAuth)Enterprisesso_discovery (90% confidence)

Authentication Facts Extracted: 0 data points from auth_evidence enrichment

⚠️ 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 Twin24 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

C
GRADE
Top 50%
44.5
AI Security Score
🔐Authentication
40
🛡️Access Control
100
👁️Observability
50
🔒Data Privacy
0
📊Confidence Score
86%
NOT_RECOMMENDED

Excellent Security Features

  • List of user permissions' keys. get, Update permissions of the user patch, Change permissions of the user put, List of roles with permissions get, Create role post, Role details get, Update role put - extensive RBAC system with user permissions and role management
  • Role-based access control with granular permissions system
  • Token refresh and restriction capabilities
  • User and company blocking functionality

⚠️Security Gaps & Recommendations

  • No oauth scopes
  • No service accounts
  • No mfa enforcement
  • No pii redaction
  • No training opt out
  • No data residency
  • No gdpr compliance
  • No ai attribution
  • No webhooks
  • No soc2 certified
ℹ️

AI Integration Security evaluates whether Twin24 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

F
GRADE
Critical
15.0
AI Readiness Score
🔌
MCP Server Availability(40% weight)

Official or community MCP server support

0
👨‍💻
Developer Experience(30% weight)

API docs, SDKs, code examples

0
📚
Documentation Quality(30% weight)

API reference, auth flows, error handling

50
🚨

Shadow AI Risk: HIGH

No official MCP server detected. AI agents may use undocumented APIs or web scraping, increasing security risks and reliability issues. Twin24 should implement MCP support for secure AI integration.

💡Recommendations

  • ❌ No MCP servers found - AI agent integration not available
  • ❌ Poor AI readiness - not recommended for AI workflows
📊Confidence Score
100%
🕐Last Verified
10/15/2025
ℹ️

AI Readiness measures whether Twin24provides 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

Production-ready code examples for security operations, extracted from official Twin24 API documentation using LLM analysis. Copy and paste these examples directly into your automation workflows.

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 Twin24's security posture, operational maturity, authentication capabilities, security automation APIs, and breach intelligence.

🏢

Operational Maturity

Support, SLAs, and documentation quality

🎯

SLA Commitment

Guaranteed Uptime

Documentation Quality

30% • Poor
🔐

Authentication Data Not Yet Assessed

We haven't collected authentication and authorization data for Twin24 yet.

🤖

Security Automation APIs

Programmatic user management, data operations, and security controls

Compare with Alternatives

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💡

Security Comparison Insight

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