Visier Security Assessment
HR & Talent Management
People Analytics - designed to know the right questions to ask, take confident action, and have the agility to always improve.
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 07:08 AM
Assessment Transparency
See exactly what data backs this security assessment
Data Coverage
4/8 security categories assessed
Score based on 4 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.
Security Documentation
These documents were discovered during automated assessment and may contain additional security information not reflected in the score.
Transparency indicators show data completeness and vendor accessibility
AI Integration Security
🔒 9th DimensionAssess whether Visier 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 | C | Needs Improvement |
| Risk Level | High | Not recommended |
| Enterprise Readiness | 48% | Gaps Exist |
| Critical Gaps | 0 | None |
Security Assessment
| Category | Score | Status | Action Required |
|---|---|---|---|
| 🟢 Breach History | 100/100 | excellent | Maintain current controls |
| 🟡 Data Protection | 85/100 | good | Maintain current controls |
| 🟡 Vulnerability Management | 85/100 | good | Maintain current controls |
| 🟡 API Security | 70/100 | good | Monitor and improve gradually |
| 🟠 Incident Response | 60/100 | needs_improvement | Monitor and improve gradually |
| 🟠 Infrastructure Security | 50/100 | needs_improvement | Review and enhance controls |
| 🟠 Compliance & Certification | 35/100 | needs_improvement | Review and enhance controls |
| 🟠 Identity & Access Management | 25/100 | needs_improvement | URGENT: Implement compensating controls immediately |
Overall Grade: C (44/100)
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:
- Employee personal information (SSN, address, contact details)
- Compensation data (salaries, bonuses, equity grants)
- Performance reviews and disciplinary records
Risk Level: CRITICAL - Contains personally identifiable information (PII) and financial data
Compliance Requirements:
- GDPR - General Data Protection Regulation (EU)
- CCPA - California Consumer Privacy Act (US)
- SOX - Sarbanes-Oxley Act (financial reporting)
- PCI DSS - Payment Card Industry Data Security Standard
- SOC 2 Type II - Security, Availability, Processing Integrity
🛡️ Enterprise Security Controls to Implement
Even with strong vendor security, enterprises must implement:
1. Identity & Access Management
- Enable SSO with your identity provider
- Implement MFA for all user accounts
- Regular access reviews (quarterly recommended)
2. Data Protection
- Configure data residency controls for GDPR compliance
- Enable audit logging for compliance requirements
- Implement data classification policies
- Request SOC 2 Type II audit reports
4. Vendor Management
- Request SOC 2 Type II audit reports
- Verify compliance documentation
- Include security requirements in contract terms
Compliance & Certifications
AI Integration Security Assessment
Industry-first assessment evaluating whether Visier 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
- ●API rate limits are documented and configurable
- ●API rate limits are documented and configurable
⚠️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 gdpr compliance
- ●No read only tokens
AI Integration Security evaluates whether Visier 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
Shadow AI Risk: HIGH
No official MCP server detected. AI agents may use undocumented APIs or web scraping, increasing security risks and reliability issues. Visier 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
AI Readiness measures whether Visierprovides 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 Visier.
API Intelligence
API requires authentication or sales engagement to access documentation. Contact vendor for API access.
Authentication Required
API access requires authentication or sales engagement. Many enterprise vendors provide API documentation only to customers or after contacting sales.
Contact SalesAI-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 Visier'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 Visier yet.
Security Automation APIs
Programmatic user management, data operations, and security controls
Frequently Asked Questions
Common questions about Visier
Answer coming soon. Check back later for updates.
The GDPR enforces four important principles that organizations must adhere to when handling personal data: lawfulness, fairness, and transparency; purpose limitation; data minimization; and accuracy a
Source: Search insights from Google, Bing
Improve data governance – highlighting and addressing data protection matters through documentation will support good practice in data governance. This can give you assurance as to data quality, compl
Source: Search insights from Google, Bing
Yes, GDPR applies to all businesses, no matter their size. Small businesses must comply with GDPR requirements, upholding the 8 rights that people must have over their personal data: The right to be i
Source: Search insights from Google, Bing
Compare with Alternatives
How does Visier stack up against similar applications in HR & Talent Management? Click column headers to sort by different criteria.
| Application | Overall ScoreScore↓ | Grade | AI Security 🤖AI 🤖⇅ | Action |
|---|---|---|---|---|
48/100🏆 | C+ | N/A | View ProfileView | |
VisierCurrent | 44/100 | C | 3/100 | |
44/100 | C | N/A | View ProfileView | |
39/100 | D+ | N/A | View ProfileView | |
33/100 | D | N/A | View ProfileView | |
30/100 | D | N/A | View ProfileView | |
26/100 | F | N/A | View ProfileView |
Security Comparison Insight
3 alternative(s) have higher overall security scores. Review the comparison to understand security tradeoffs for your specific requirements.