Catalyst Software Corporation Security Assessment
Customer Service & Support
Catalyst is an intuitive and flexible Customer Success Platform that helps CS teams centralize siloed customer data, get a clear line of sight into customer health, and scale customer journeys that drive retention and growth.
9-Dimension Security Framework
Identity & Access Management
API Security
AI Integration Security
NEWInfrastructure 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 06:06 PM
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.
Transparency indicators show data completeness and vendor accessibility
AI Integration Security
🔒 9th DimensionAssess whether Catalyst Software Corporation 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 | 49% | 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 |
| 🟠 Identity & Access Management | 50/100 | needs_improvement | Review and enhance controls |
| 🟠 API Security | 50/100 | needs_improvement | Add rate limiting and authentication |
| 🟠 Data Protection | 50/100 | needs_improvement | Implement encryption at rest, TLS/HTTPS, and 1 more |
| 🟠 Infrastructure Security | 30/100 | needs_improvement | Review and enhance controls |
Overall Grade: C+ (47/100)
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
AI Integration Security Assessment
Industry-first assessment evaluating whether Catalyst Software Corporation 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
- ●General Data Protection Regulation (GDPR) is a regulation within the European Union (EU) that protects the data and privacy of all individuals in the EU and European Economic Area (EEA). Catalyst is a 'data processor' as defined in GDPR Article 4 Section 8 and our customers are the 'data controllers' as defined in GDPR Article 4 Section 7. Catalyst will comply to all Data Processing Agreement (DPA) requests from customers when legally advised to do so.
- ●Catalyst is a SOC 2 compliant organization, as defined by the American Institute of Certified Public Accountants (AICPA).
- ●SOC 2 compliance verified
- ●GDPR compliance with clear data processor role and DPA availability
- ●ISO 27001 certification mentioned
⚠️Security Gaps & Recommendations
- ●No oauth scopes
- ●No token expiration
- ●No token rotation
- ●No service accounts
- ●No pii redaction
- ●No training opt out
- ●No data residency
- ●No read only tokens
- ●No granular permissions
- ●No action restrictions
AI Integration Security evaluates whether Catalyst Software Corporation 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
MCP Server Available
communityCatalyst Software Corporation supports Anthropic's Model Context Protocol (MCP) for secure AI agent integration.
View MCP Server💡Recommendations
- →⚠️ Official MCP server not found. Best alternative: https://github.com/catalystneuro/mcp_read_images (Trust: 0/100)
- →⚠️ 🔴 High Risk: Repository appears abandoned
- →❌ Poor AI readiness - not recommended for AI workflows
AI Readiness measures whether Catalyst Software Corporationprovides 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 Catalyst Software Corporation API documentation using LLM analysis. Copy and paste these examples directly into your automation workflows.
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 Catalyst Software Corporation'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 Catalyst Software Corporation yet.
Security Automation APIs
Programmatic user management, data operations, and security controls
Compare with Alternatives
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Security Comparison Insight
4 alternative(s) have higher overall security scores. Review the comparison to understand security tradeoffs for your specific requirements.