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Esper Security Assessment

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The Leading MDM Purpose-Built for Dedicated Devices Take full control of your Android, iOS and Linux POS systems, digital kiosks, and more with tools designed to tackle the challenges of compliance, drift, and scale — securely, effortlessly, and without compromise.

Data: 4/8(50%)
HIGH Friction
SECURITY VERIFIED • SAASPOSTURE • JAN 2026
B
Top 25%
Esper logoEsper
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 .
52
Overall Score
Weighted average across all dimensions
B
Security Grade
Top 25%
65% confidence

Identity & Access Management

A+
Score:0
Weight:33%
Grade:A+ (Top 5%)

Compliance & Certification

D+
Score:0
Weight:19%
Grade:D+ (Below Avg)

AI Integration Security

NEW
D
Score:0
Weight:12%
Grade:D (Below Avg)

API Security

B
Score:0
Weight:14%
Grade:B (Top 25%)

Infrastructure Security

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

Data Protection

B
Score:0
Weight:10%
Grade:B (Top 25%)

Vulnerability Management

A+
Score:0
Weight:3%
Grade:A+ (Top 5%)

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 17, 2026 at 07:47 PM

Assessment Transparency

See exactly what data backs this security assessment

Data Coverage

4/8 security categories assessed

50%
complete
Identity & Access
Available
Compliance
Missing
API Security
Available
Infrastructure
Available
Data Protection
Missing
Vulnerability Mgmt
Available
Incident Response
Missing
Breach History
Missing

Score based on 4 of 8 categories. Missing categories could not be assessed due to lack of public data or vendor restrictions.

Evaluation Friction

HIGH
Estimated: 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.

12 data sources successful

Transparency indicators show data completeness and vendor accessibility

🤖

AI Integration Security

🔒 9th Dimension

Assess whether Esper 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
29/100
MCP Available
🔌 MCP Server20/100
👨‍💻 Developer Experience0/100
📚 Documentation70/100
Top Recommendation:
⚠️ Official MCP server not found. Best alternative: https://github.com/Esperk/pydantic-ai-logfire-demo (Trust: 0/100)
🛡️

AI Security

Safety controls for AI agents

D
30.2/100
HIGH_RISK
🔐 Authentication15%
🔒 Access Control70%
👁️ Observability55%
🔏 Data Privacy0%
✅ Excellent Security:
Comprehensive API coverage for device management operations
⚠️ Needs Attention:
No oauth scopes
🛡️Unique Assessment: Evaluating AI agent integration safety helps you make safer AI tool decisions than your competitors

Essential Security Analysis

Based on available security assessment data

52
Security Score
B
Security Grade
0
Compliance Frameworks

Compliance & Certifications

1
Active
0
Pending
5
Not Certified

AI Integration Security Assessment

Industry-first assessment evaluating whether Esper 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

D
GRADE
Below Avg
30.2
AI Security Score
🔐Authentication
15
🛡️Access Control
70
👁️Observability
55
🔒Data Privacy
0
📊Confidence Score
81%
HIGH_RISK

Excellent Security Features

  • Comprehensive API coverage for device management operations
  • Event feed/audit logging endpoints exist for device and group activities
  • SDK provides granular permission management at device level (USB, runtime permissions)

⚠️Security Gaps & Recommendations

  • No oauth scopes
  • No token expiration
  • No service accounts
  • No mfa enforcement
  • No pii redaction
  • No training opt out
  • No data residency
  • No gdpr compliance
  • No read only tokens
  • No ai attribution
ℹ️

AI Integration Security evaluates whether Esper 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
29.0
AI Readiness Score
🔌
MCP Server Availability(40% weight)

Official or community MCP server support

20
👨‍💻
Developer Experience(30% weight)

API docs, SDKs, code examples

0
📚
Documentation Quality(30% weight)

API reference, auth flows, error handling

70

MCP Server Available

community

Esper 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/Esperk/pydantic-ai-logfire-demo (Trust: 0/100)
  • ⚠️ 🔴 High Risk: Repository appears abandoned, No license found
  • ❌ Poor AI readiness - not recommended for AI workflows
📊Confidence Score
90%
🕐Last Verified
1/7/2026
ℹ️

AI Readiness measures whether Esperprovides 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 Esper.

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 Esper'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 Esper yet.

🤖

Security Automation APIs

Programmatic user management, data operations, and security controls

Compare with Alternatives

How does Esper stack up against similar applications in Other Business Software? Click column headers to sort by different criteria.

Application
Score
Grade
AI 🤖
Action
EsperCurrent
52🏆
B30.2
48
C+N/AView
47
C+N/AView
41
CN/AView
38
D+N/AView
27
FN/AView
25
FN/AView
💡

Security Comparison Insight

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