Skip to main content
Scrut Automation logo

Scrut Automation Security Assessment

Security & Compliance

Automatically test your cloud configurations against 150+ CIS benchmarks across multiple cloud accounts on AWS, Azure, GCP and more, to maintain a strong infosec posture.

SECURITY VERIFIED • SAASPOSTURE • JAN 2026
D
Bottom 30%
Scrut Automation logoScrut Automation
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 .
33
Overall Score
Weighted average across all dimensions
D
Security Grade
Below Avg
65% confidence

Identity & Access Management

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

Compliance & Certification

B+
Score:0
Weight:19%
Grade:B+ (Top 25%)

AI Integration Security

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

API Security

D
Score:0
Weight:14%
Grade:D (Below Avg)

Infrastructure Security

D
Score:0
Weight:14%
Grade:D (Below Avg)

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 05:49 AM

🤖

AI Integration Security

🔒 9th Dimension

Assess whether Scrut Automation 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
20/100
MCP Available
🔌 MCP Server50/100
👨‍💻 Developer Experience0/100
📚 Documentation0/100
Top Recommendation:
⚠️ Official MCP server not found. Best alternative: https://github.com/modelcontextprotocol/servers/pull/2400 (Trust: 50/100)
🛡️

AI Security

Safety controls for AI agents

F
17.2/100
HIGH_RISK
🔐 Authentication0%
🔒 Access Control30%
👁️ Observability35%
🔏 Data Privacy15%
✅ Excellent Security:
Company focuses on compliance frameworks (SOC 2, ISO 27001, GDPR, HIPAA)
⚠️ 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 GradeDNeeds Improvement
Risk LevelHighNot recommended
Enterprise Readiness43%Gaps Exist
Critical Gaps0None

Security Assessment

CategoryScoreStatusAction Required
🟢 Breach History100/100excellentMaintain current controls
🟠 Incident Response60/100needs_improvementMonitor and improve gradually
🟠 Compliance & Certification55/100needs_improvementReview and enhance controls
🟠 API Security30/100needs_improvementAdd rate limiting and authentication
🟠 Infrastructure Security30/100needs_improvementReview and enhance controls
🟠 Data Protection30/100needs_improvementImplement encryption at rest, TLS/HTTPS, and 1 more
🟠 Identity & Access Management25/100needs_improvementURGENT: Implement compensating controls immediately
🟠 Vulnerability Management0/100needs_improvementReview and enhance controls

Overall Grade: D (33/100)

Critical Security Gaps

GapSeverityBusiness ImpactRecommendation
🟢 No dedicated security documentation pageLOWExtended due diligence processRequest security whitepaper or public audit reports

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✅ Availablehttps://status.scrut.io
Documentation Quality✅ 10/10No SDKs
SLA Commitment✅ PublishedFormal SLA available
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

Authentication Capabilities

MethodTier RequirementEvidence Source
❌ OAuth 2.0All Tiersauth_discovery (90% confidence)
✅ SSO (SAML/OAuth)Enterprisesso_discovery (90% confidence)

Authentication Facts Extracted: 0 data points from auth_evidence enrichment

⚠️ Inherent Risk Consideration

Data Sensitivity: This application stores sensitive data:

Risk Level: LOW - Contains

Compliance & Certifications

1
Active
0
Pending
5
Not Certified

AI Integration Security Assessment

Industry-first assessment evaluating whether Scrut Automation 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
17.2
AI Security Score
🔐Authentication
0
🛡️Access Control
30
👁️Observability
35
🔒Data Privacy
15
📊Confidence Score
85%
HIGH_RISK

Excellent Security Features

  • Company focuses on compliance frameworks (SOC 2, ISO 27001, GDPR, HIPAA)
  • Mentions user access validation and audit capabilities in platform features
  • AI security page exists suggesting some consideration of AI-related risks

⚠️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 Scrut Automation 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
20.0
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

0

MCP Server Available

community

Scrut Automation 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/modelcontextprotocol/servers/pull/2400 (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 Scrut Automationprovides 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 Scrut Automation.

API Intelligence

No API Found

No public API documentation found. This vendor may not offer a public API.

No API Found

We didn't find public API documentation for this vendor. Many SaaS vendors, especially SMB-focused tools, don't offer public REST APIs. This is normal and not a data quality issue.

Note: Not all SaaS vendors offer public APIs. This is completely normal, especially for SMB-focused tools. It doesn't affect the security assessment.

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 Scrut Automation's security posture, operational maturity, authentication capabilities, security automation APIs, and breach intelligence.

🏢

Operational Maturity

Support, SLAs, and documentation quality

Documentation Quality

100% • Excellent
🔐

Authentication Data Not Yet Assessed

We haven't collected authentication and authorization data for Scrut Automation yet.

🤖

Security Automation APIs

Programmatic user management, data operations, and security controls

Frequently Asked Questions

Common questions about Scrut Automation

Answer coming soon. Check back later for updates.

SOC 2 compliance proves a SaaS company securely handles customer data. It reassures clients that controls are in place for data protection, availability, and privacy, making it easier to close enterpr

Source: Search insights from Google, Bing

Answer coming soon. Check back later for updates.

Compare with Alternatives

How does Scrut Automation stack up against similar applications in Security & Compliance? Click column headers to sort by different criteria.

Application
Score
Grade
AI 🤖
Action
44🏆
CN/AView
43
CN/AView
35
D+N/AView
33
D17.2
30
DN/AView
25
FN/AView
23
FN/AView
💡

Security Comparison Insight

8 alternative(s) have higher overall security scores. Review the comparison to understand security tradeoffs for your specific requirements.