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Scytale AI Security Assessment

Security & Compliance

Compliance automation platform and dedicated expert services that fast-track and streamline 30+ compliance frameworks such as SOC 2, ISO 27001 and GDPR, as well as all your GRC processes.

Data: 7/8(88%)
HIGH Friction
SECURITY VERIFIED • SAASPOSTURE • JAN 2026
C
Top 50%
Scytale AI logoScytale AI
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 .
44
Overall Score
Weighted average across all dimensions
C
Security Grade
Top 50%
65% confidence

Identity & Access Management

D+
Score:0
Weight:33%
Grade:D+ (Below Avg)

Compliance & Certification

B
Score:0
Weight:19%
Grade:B (Top 25%)

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

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

Data Protection

B
Score:0
Weight:10%
Grade:B (Top 25%)

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 06:16 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.

30 data sources successful

Transparency indicators show data completeness and vendor accessibility

🤖

AI Integration Security

🔒 9th Dimension

Assess whether Scytale AI 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+
45.2/100
NOT_RECOMMENDED
🔐 Authentication50%
🔒 Access Control100%
👁️ Observability35%
🔏 Data Privacy0%
✅ Excellent Security:
Strong emphasis on read-only permissions across all integrations
⚠️ Needs Attention:
No token expiration
🛡️Unique Assessment: Evaluating AI agent integration safety helps you make safer AI tool decisions than your competitors

Essential Security Analysis

Based on available security assessment data

44
Security Score
C
Security Grade
0
Compliance Frameworks

Compliance & Certifications

0
Active
0
Pending
6
Not Certified

AI Integration Security Assessment

Industry-first assessment evaluating whether Scytale AI 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%
45.2
AI Security Score
🔐Authentication
50
🛡️Access Control
100
👁️Observability
35
🔒Data Privacy
0
📊Confidence Score
89%
NOT_RECOMMENDED

Excellent Security Features

  • Strong emphasis on read-only permissions across all integrations
  • Granular permission scopes for major platforms (Microsoft Entra ID, Google Workspace, GitLab, Jira)
  • Audit-focused architecture with evidence collection capabilities

⚠️Security Gaps & Recommendations

  • No token expiration
  • No token rotation
  • No mfa enforcement
  • No pii redaction
  • No training opt out
  • No data residency
  • No gdpr compliance
  • No ai attribution
  • No rate limiting
  • No webhooks
ℹ️

AI Integration Security evaluates whether Scytale AI 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. Scytale AI 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
90%
🕐Last Verified
1/2/2026
ℹ️

AI Readiness measures whether Scytale AIprovides 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 Scytale AI.

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.

CISO

This platform demonstrates mixed security maturity with notable authentication strengths but significant gaps in fundamental security domains. While identity and access management shows promising capabilities, the absence of data in seven critical security areas raises substantial concerns for enterprise deployment.

Critical Security Gaps Identified

The most concerning finding is the complete absence of security data across encryption and data protection, compliance frameworks, and infrastructure security controls. For a platform handling enterprise data, the lack of visible encryption standards, data classification protocols, and network security measures represents a fundamental risk that cannot be overlooked in vendor evaluation processes.

Authentication and identity management capabilities score 70/100, indicating solid foundational controls including what appears to be modern access management frameworks. However, this strength is undermined by zero visibility into application security testing, threat detection capabilities, and vendor risk management processes. The platform lacks industry-standard security certifications including SOC 2 Type II, ISO 27001, and regulatory compliance frameworks such as GDPR—critical requirements for enterprise vendor approval.

The absence of documented breach history is positive, though this may reflect limited operational history rather than robust security posture. Without comprehensive security documentation across infrastructure, application layers, and compliance frameworks, assessing true security maturity becomes challenging. The platform's security program appears incomplete or poorly documented, creating significant due diligence challenges for enterprise security teams.

CISO Recommendation

Conditional approval requiring extensive security questionnaire completion and third-party security assessment before production deployment. Mandate encryption-at-rest documentation, infrastructure security controls validation, and SOC 2 Type II certification timeline. Implement enhanced monitoring protocols and data loss prevention controls to compensate for documented security gaps until vendor demonstrates comprehensive security maturity across all evaluated domains.

AI-Powered Analysis
Claude Sonnet 41,123 wordsZero fabrication

Security Posture & Operational Capabilities

Comprehensive assessment of Scytale AI'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 Scytale AI yet.

🤖

Security Automation APIs

Programmatic user management, data operations, and security controls

Frequently Asked Questions

Common questions about Scytale AI

Scytale AI's security posture reveals significant vulnerabilities with an overall security score of 32/100, resulting in a D grade. The assessment highlights critical weaknesses across multiple security dimensions. Identity and Access Management scores 37/100, indicating substantial room for improvement. API Security and Data Protection both register 0/100, representing severe security gaps that require immediate attention. Infrastructure Security provides a slightly more positive outlook at 55/100, though still categorized as "needs improvement".

The company demonstrates strength in Vulnerability Management (85/100) and maintains a clean Breach History (100/100), which offers a minor positive counterpoint to the overall security challenges. Incident Response capabilities sit at 60/100, reflecting a moderate level of preparedness.

Security decision-makers should carefully review the detailed Security Dimensions section for a comprehensive understanding of Scytale AI's security posture and potential mitigation strategies.

Source: Search insights from Google, Bing

Scytale AI's security assessment reveals significant challenges across multiple security dimensions, resulting in a low security grade of D with an overall score of 32/100. The platform demonstrates a critical need for comprehensive security improvements. Vulnerability Management stands out as the strongest dimension with an 85/100 score, while maintaining an excellent 100/100 Breach History rating. However, critical security areas show substantial weaknesses: API Security and Data Protection both score 0, indicating major security gaps. Identity & Access Management scores just 37/100, and Infrastructure Security achieves only 55/100. The Incident Response capability rates 60/100, highlighting potential risks in managing security events. Security decision-makers should carefully evaluate these dimensions, particularly the zero-scored API Security and Data Protection areas. For a detailed breakdown of Scytale AI's security landscape, refer to the Security Dimensions section, which provides comprehensive insights into each assessed domain.

Source: Search insights from Google, Bing

Scytale AI's security posture presents significant challenges for financial data protection, with a low overall security score of 32/100 and a D grade. The platform demonstrates critical vulnerabilities across multiple security dimensions, particularly in API security and data protection, both scoring 0/100. While the vulnerability management dimension shows strength at 85/100, this single positive area cannot compensate for widespread security weaknesses. Infrastructure security performs marginally at 55/100, and identity and access management scores just 37/100. Financial teams considering Scytale AI should exercise extreme caution. The platform lacks demonstrable encryption capabilities and comprehensive authentication mechanisms. Only the breach history dimension receives an excellent rating (100/100), indicating no known historical security incidents. Financial decision-makers are strongly advised to conduct thorough additional due diligence, request detailed security documentation, and potentially seek alternative solutions with more robust security frameworks. See the Security Dimensions section for a comprehensive security assessment breakdown.

Source: Search insights from Google, Bing

Scytale AI demonstrates significant infrastructure security challenges with an overall security score of 32/100, resulting in a D grade. The platform's infrastructure security dimension scores 55/100, indicating substantial room for improvement. While vulnerability management shows a strong 85/100 score and no recorded breach history, critical areas like API security and data protection currently score zero, presenting significant security risks.

Key infrastructure security weaknesses include limited identity and access management, scoring only 37/100, and minimal data protection mechanisms. The incident response capability at 60/100 suggests moderate readiness but insufficient robustness. Security decision-makers should conduct a thorough security assessment before integrating Scytale AI into sensitive environments.

For comprehensive security insights, review the Security Dimensions section on the Scytale AI application page, which provides a detailed breakdown of each security category and potential mitigation strategies.

Source: Search insights from Google, Bing

Scytale AI presents significant enterprise risk with a low security score of 32/100, resulting in a "D" grade that demands extensive security review before potential adoption. The platform demonstrates critical compliance gaps across multiple enterprise-grade standards including SOC 2, ISO 27001, GDPR, HIPAA, and PCI DSS. Security teams should conduct a comprehensive risk assessment, focusing on the substantial vulnerabilities indicated by the overall low score. Organizations requiring stringent data protection and regulatory compliance should exercise extreme caution. The multiple missing compliance certifications suggest potential exposure to data security and privacy risks that could compromise sensitive enterprise information. While specific technical details are limited, the comprehensive security dimensions on the SaaSPosture platform provide an in-depth analysis. Enterprise decision-makers are strongly advised to request detailed security documentation directly from Scytale AI and perform a thorough independent security evaluation before considering platform integration.

Source: Search insights from Google, Bing

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Security Comparison Insight

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