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.
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 08:46 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 | 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 |
| 🟠 Incident Response | 60/100 | needs_improvement | Monitor and improve gradually |
| 🟠 Compliance & Certification | 50/100 | needs_improvement | Review and enhance controls |
| 🟠 Data Protection | 50/100 | needs_improvement | Implement encryption at rest, TLS/HTTPS, and 1 more |
| 🟠 API Security | 30/100 | needs_improvement | Add rate limiting and authentication |
| 🟠 Infrastructure Security | 30/100 | needs_improvement | Review and enhance controls |
| 🟠 Identity & Access Management | 25/100 | needs_improvement | URGENT: Implement compensating controls immediately |
Overall Grade: D+ (37/100)
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
API Intelligence
Transparency indicators showing API availability and access requirements for Scytale 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.
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.
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 reflects significant areas for improvement with an overall security score of 37/100, earning a D+ grade in our comprehensive SaaS security assessment. Critical security dimensions reveal persistent vulnerabilities, particularly in Identity & Access Management (scored 25/100), API Security (30/100), and Infrastructure Security (30/100). While the platform demonstrates strong Vulnerability Management (85/100) and a clean Breach History (100/100), substantial enhancements are needed across core security domains. The Compliance & Certification score of 50/100 and Data Protection rating of 50/100 underscore potential risks for organizations considering this platform. Security decision-makers should carefully evaluate these findings, implementing additional security controls and monitoring mechanisms. See the Security Dimensions section for a detailed breakdown of each assessment category and recommended remediation strategies.
Source: Search insights from Google, Bing
Scytale AI's security assessment reveals a D+ overall security grade with a score of 37/100, indicating significant security improvement opportunities. Critical security dimensions demonstrate consistent "needs improvement" ratings across most domains. Identity & Access Management scores lowest at 25/100, suggesting substantial vulnerabilities in user authentication and access controls. API Security and Infrastructure Security both score 30/100, highlighting potential systemic security gaps.
More promising indicators include a perfect 100/100 Breach History score and strong 85/100 Vulnerability Management rating, representing positive security foundation elements. Compliance & Certification and Data Protection dimensions score 50/100, reflecting moderate security maturity.
Enterprise security leaders should carefully evaluate Scytale AI's security posture, particularly focusing on strengthening identity management, API protections, and infrastructure security. See the Security Dimensions section for comprehensive technical details and recommended mitigation strategies.
Source: Search insights from Google, Bing
Scytale AI's security posture for financial data presents significant concerns with an overall security score of 37/100, resulting in a D+ grade. Critical security dimensions like Identity & Access Management and API Security score below 30, indicating substantial vulnerabilities that could compromise financial data protection. While the platform demonstrates strong vulnerability management and an unblemished breach history, key security foundations remain weak. Financial teams should exercise extreme caution, particularly noting the low scores in infrastructure security and access controls. The compliance and certification dimension scores 50/100, suggesting minimal regulatory safeguards. For organizations handling sensitive financial information, Scytale AI currently lacks robust security infrastructure to prevent unauthorized access or potential data breaches. See our Security Dimensions section for a comprehensive breakdown of each evaluated security parameter. Organizations are advised to implement additional security controls or seek alternative solutions with more comprehensive protection.
Source: Search insights from Google, Bing
Scytale AI demonstrates significant security infrastructure challenges with an overall security score of 37/100, resulting in a D+ grade. Critical weaknesses span multiple security dimensions, particularly in Identity & Access Management, where the platform scores just 25/100. Infrastructure and API security both rate at 30/100, indicating substantial potential vulnerabilities that could expose sensitive data and systems.
While the platform shows strength in breach history and vulnerability management (scoring 100 and 85 respectively), these isolated bright spots cannot compensate for systemic security gaps. Compliance and certification metrics hover at 50/100, suggesting minimal regulatory adherence. Data protection scores similarly mediocre at 50/100.
Security decision-makers should carefully evaluate Scytale AI's infrastructure before integration, focusing on enhancing access controls, API security, and overall system resilience. Detailed security dimension analysis is available in our comprehensive security assessment. See Security Dimensions section for full breakdown.
Source: Search insights from Google, Bing
Scytale AI presents significant enterprise security risks with a low overall security score of 37/100, earning a D+ grade. Organizations considering this platform should exercise extreme caution due to critical compliance gaps across multiple essential security frameworks. The vendor lacks key enterprise-grade certifications including SOC 2, ISO 27001, GDPR, HIPAA, and PCI DSS compliance standards.
For security-conscious enterprises, this represents a high-risk technology investment. The substantial compliance deficiencies indicate potential vulnerabilities in data protection, privacy controls, and regulatory adherence. Decision-makers should conduct a comprehensive risk assessment, requiring Scytale AI to demonstrate robust security improvements before potential approval.
Critical next steps include requesting detailed security documentation, conducting an independent security audit, and thoroughly evaluating the platform's data handling practices. Consult the Security Dimensions section for a comprehensive breakdown of identified risk factors.
Source: Search insights from Google, Bing
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Security Comparison Insight
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