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Secureframe Security Assessment

Security & Compliance

Secureframe helps companies get enterprise ready by streamlining SOC 2 and ISO 27001 compliance. Secureframe allows companies to get compliant within weeks, rather than months and monitors 40+ services, including AWS, GCP, and Azure.

Data: 6/8(75%)
MODERATE Friction
SECURITY VERIFIED • SAASPOSTURE • JAN 2026
C
Top 50%
Secureframe logoSecureframe
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 .
40
Overall Score
Weighted average across all dimensions
C
Security Grade
Top 50%
65% confidence

Identity & Access Management

F
Score:0
Weight:33%
Grade:F (Critical)

Compliance & Certification

A+
Score:0
Weight:19%
Grade:A+ (Top 5%)

AI Integration Security

NEW
F
Score:0
Weight:12%
Grade:F (Critical)

API Security

A+
Score:0
Weight:14%
Grade:A+ (Top 5%)

Infrastructure Security

F
Score:0
Weight:14%
Grade:F (Critical)

Data Protection

D
Score:0
Weight:10%
Grade:D (Below Avg)

Vulnerability Management

F
Score:0
Weight:3%
Grade:F (Critical)

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 07:02 AM

Assessment Transparency

See exactly what data backs this security assessment

Data Coverage

6/8 security categories assessed

75%
complete
Identity & Access
Available
Compliance
Available
API Security
Blocked
Infrastructure
Available
Data Protection
Available
Vulnerability Mgmt
Available
Incident Response
Available
Breach History
Missing

Score based on 6 of 8 categories. Missing categories could not be assessed due to lack of public data or vendor restrictions.

Evaluation Friction

MODERATE
Estimated: 2-4 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(1 blocked)
1 Data Source Blocked

This vendor is actively blocking 1 automated data collection sourcethrough bot protection, authentication requirements, or access restrictions.

What this means: The security assessment may be incomplete because the vendor is restricting access to public security information. Manual verification may be required during procurement.

Transparency indicators show data completeness and vendor accessibility

🤖

AI Integration Security

🔒 9th Dimension

Assess whether Secureframe 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
35/100
MCP Available
🔌 MCP Server50/100
👨‍💻 Developer Experience0/100
📚 Documentation50/100
Top Recommendation:
⚠️ Official MCP server not found. Best alternative: https://github.com/fleetdm/fleet/issues/27309 (Trust: 50/100)
🛡️

AI Security

Safety controls for AI agents

F
27.2/100
HIGH_RISK
🔐 Authentication10%
🔒 Access Control40%
👁️ Observability65%
🔏 Data Privacy15%
✅ Excellent Security:
Rate Limiting section mentioned in API documentation table of contents
⚠️ Needs Attention:
No oauth scopes
🛡️Unique Assessment: Evaluating AI agent integration safety helps you make safer AI tool decisions than your competitors

Comprehensive Security Analysis

In-depth assessment with detailed recommendations

Security Analysis

Executive Summary

MetricValueAssessment
Security GradeCNeeds Improvement
Risk LevelHighNot recommended
Enterprise Readiness46%Gaps Exist
Critical Gaps0None

Security Assessment

CategoryScoreStatusAction Required
🟢 Breach History100/100excellentMaintain current controls
🟡 Compliance & Certification70/100goodMonitor and improve gradually
🟡 API Security70/100goodMonitor and improve gradually
🟠 Incident Response60/100needs_improvementMonitor and improve gradually
🟠 Data Protection30/100needs_improvementImplement encryption at rest, TLS/HTTPS, and 1 more
🟠 Identity & Access Management25/100needs_improvementURGENT: Implement compensating controls immediately
🟠 Infrastructure Security20/100needs_improvementReview and enhance controls
🟠 Vulnerability Management0/100needs_improvementReview and enhance controls

Overall Grade: C (40/100)

Critical Security Gaps

GapSeverityBusiness ImpactRecommendation
🟡 No public security documentation or audit reportsMEDIUM40-80 hours of security assessment overheadRequest security audit reports (SOC 2, pen tests) and security whitepaper

Total Gaps Identified: 1 | Critical/High Priority: 0

Compliance Status

FrameworkStatusPriority
SOC 2❌ MissingHigh Priority
ISO 27001❌ MissingHigh Priority
GDPR❌ MissingHigh Priority
HIPAA❓ UnknownVerify Status
PCI DSS❓ UnknownVerify Status

Warning: No compliance certifications verified. Extensive due diligence required.

Operational Excellence

MetricStatusDetails
Status Page❌ Not FoundN/A
Documentation Quality❌ 4/10No SDKs
SLA Commitment❌ NoneNo public SLA
API Versioning⚠️ NoneNo version control
Support Channelsℹ️ 0 channels

Operational Facts Extracted: 5 data points from operational_maturity enrichment

Integration Requirements

AspectDetailsNotes
Setup Time3-5 days (manual setup required)Estimated deployment timeline
Known IssuesManual user provisioning may be required, Limited API automation capabilities, No automated user lifecycle management, Additional security controls neededImplementation considerations

⚠️ Inherent Risk Consideration

Data Sensitivity: This application stores sensitive data:

Risk Level: LOW - Contains

🛡️ 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)

Compliance & Certifications

1
Active
0
Pending
5
Not Certified

AI Integration Security Assessment

Industry-first assessment evaluating whether Secureframe 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

F
GRADE
Critical
27.2
AI Security Score
🔐Authentication
10
🛡️Access Control
40
👁️Observability
65
🔒Data Privacy
15
📊Confidence Score
88%
HIGH_RISK

Excellent Security Features

  • Rate Limiting section mentioned in API documentation table of contents
  • SOC 2 listed as primary supported framework with monitoring of all five SOC 2 trust services criteria
  • Rate limiting is documented
  • SOC 2 Type II certified platform
  • Clean REST API following JSON API spec

⚠️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 read only tokens
  • No action restrictions
ℹ️

AI Integration Security evaluates whether Secureframe 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
35.0
AI Readiness Score
🔌
MCP Server Availability(40% weight)

Official or community MCP server support

50
👨‍💻
Developer Experience(30% weight)

API docs, SDKs, code examples

0
📚
Documentation Quality(30% weight)

API reference, auth flows, error handling

50

MCP Server Available

community

Secureframe 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/fleetdm/fleet/issues/27309 (Trust: 50/100)
  • ⚠️ ⚠️ Use with caution - review code before use
  • ❌ Poor AI readiness - not recommended for AI workflows
📊Confidence Score
90%
🕐Last Verified
10/14/2025
ℹ️

AI Readiness measures whether Secureframeprovides 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 Secureframe.

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.

Security Posture & Operational Capabilities

Comprehensive assessment of Secureframe's security posture, operational maturity, authentication capabilities, security automation APIs, and breach intelligence.

🏢

Operational Maturity

Support, SLAs, and documentation quality

🎯

SLA Commitment

Guaranteed Uptime

Documentation Quality

40% • Fair
🤖

Security Automation APIs

Programmatic user management, data operations, and security controls

Frequently Asked Questions

Common questions about Secureframe

Pricing comparison: Secureframe vs. Vanta

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SOC 1®, SOC 2® and SOC 3® are registered trademarks of the American Institute of Certified Public Accountants in the United States.

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Security Comparison Insight

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