SalesQL Security Assessment
Sales & CRM
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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 05:55 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
AI Integration Security
🔒 9th DimensionAssess whether SalesQL 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 | D | Needs Improvement |
| Risk Level | High | Not recommended |
| Enterprise Readiness | 43% | 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 |
| 🟡 API Security | 70/100 | good | Monitor and improve gradually |
| 🟠 Incident Response | 60/100 | needs_improvement | Monitor and improve gradually |
| 🟠 Infrastructure Security | 30/100 | needs_improvement | Review and enhance controls |
| 🟠 Data Protection | 30/100 | needs_improvement | Implement encryption at rest, TLS/HTTPS, and 1 more |
| 🟠 Identity & Access Management | 25/100 | needs_improvement | URGENT: Implement compensating controls immediately |
| 🟠 Compliance & Certification | 10/100 | needs_improvement | Review and enhance controls |
Overall Grade: D (32/100)
Critical Security Gaps
| Gap | Severity | Business Impact | Recommendation |
|---|---|---|---|
| 🟢 No dedicated security documentation page | LOW | Extended due diligence process | Request security whitepaper or public audit reports |
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 | ✅ 9/10 | javascript, java, go |
| SLA Commitment | ✅ Published | Formal SLA available |
| API Versioning | ⚠️ None | No version control |
| Support Channels | ℹ️ 1 channels | Chat |
Operational Facts Extracted: 7 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:
- CRM contact information (names, emails, phone numbers, companies)
- Sales pipeline data (deal values, forecasts, customer interactions)
- Customer communication history (emails, calls, chat logs)
Risk Level: HIGH - Contains personally identifiable information (PII)
Compliance Requirements:
- GDPR - General Data Protection Regulation (EU)
- CCPA - California Consumer Privacy Act (US)
- SOC 2 Type II - Security, Availability, Processing Integrity
Compliance & Certifications
AI Integration Security Assessment
Industry-first assessment evaluating whether SalesQL 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
- ●Rate limits well documented by plan: 'Professional Plan: Comes with 5,000 API calls per day... The rate limit is 180 requests per minute. Organization Plan: Offers up to 20,000 API calls per day... The rate limit is 300 requests per minute.' Also: 'When the daily rate limit is reached, the HTTP status code 429 is returned, accompanied by a "Rate limit exceeded" message.'
- ●Well-documented rate limiting with clear per-plan limits (180-300 req/min)
- ●Credit-based system only charges for successful matches
- ●Email and phone validation fields help verify data quality
⚠️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 SalesQL 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 (With Warnings)
community⚠️ Only high-risk MCP servers found - not recommended
SalesQL has MCP server support, but with security concerns.
💡Recommendations
- →❌ Poor AI readiness - not recommended for AI workflows
AI Readiness measures whether SalesQLprovides 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 SalesQL.
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 SalesQL's security posture, operational maturity, authentication capabilities, security automation APIs, and breach intelligence.
Operational Maturity
Support, SLAs, and documentation quality
Support Channels
Documentation Quality
90% • ExcellentSecurity Automation APIs
Programmatic user management, data operations, and security controls
Frequently Asked Questions
Common questions about SalesQL
While API references delve into the technical details of individual functions, API documentation offers a more holistic perspective. It includes the API reference information but expands upon it with additional explanations, usage guidelines, and best practices.
Source: Search insights from Google, Bing
Reference Documentation: This type of API documentation typically offers a detailed overview of each endpoint, outlining its methods, parameters, and supported data types. It also explains in simple terms the purpose of each endpoint and how it should be used.
Source: Search insights from Google, Bing
At minimum, an API reference should contain a guide called "Using the name-of-api", which will provide a basic guide to how to use the API. More complex APIs may require multiple usage guides to explain how to use different aspects of the API.
Source: Search insights from Google, Bing
Not safe anymore. There has ALWAYS been some errors with this extension in the Chrome Developer Tab, never fixed. LinkedIn finally cracked SalesQL and within 2 weeks all our team members had their accounts restricted.
Source: Search insights from Google, Bing
Compare with Alternatives
How does SalesQL stack up against similar applications in Sales & CRM? Click column headers to sort by different criteria.
| Application | Overall ScoreScore↓ | Grade | AI Security 🤖AI 🤖⇅ | Action |
|---|---|---|---|---|
46/100🏆 | C+ | N/A | View ProfileView | |
38/100 | D+ | N/A | View ProfileView | |
38/100 | D+ | N/A | View ProfileView | |
34/100 | D | N/A | View ProfileView | |
SalesQLCurrent | 32/100 | D | 6/100 | |
30/100 | D | N/A | View ProfileView | |
27/100 | F | N/A | View ProfileView |
Security Comparison Insight
11 alternative(s) have higher overall security scores. Review the comparison to understand security tradeoffs for your specific requirements.
Research Sources
32 citations for SalesQL
Data from static JSON · Last enriched: October 9, 2025