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Wallarm Security Assessment

Security & Compliance

Wallarm is the platform security teams choose to protect cloud-native APIs. The Wallarm platform gives teams the ability to detect and block API attacks. Customers choose Wallarm because it delivers a complete inventory of their APIs, AI apps, and agentic AI, along with patented AI/ML API abuse detection, real-time blocking on day zero, and an API SOC-as-a-service. Whether you protect legacy or brand new cloud-native APIs, Wallarm’s multi-cloud platform delivers the capabilities to secure your business against emerging threats.

Data: 7/8(88%)
MODERATE Friction
SECURITY VERIFIED • SAASPOSTURE • JAN 2026
C
Top 50%
Wallarm logoWallarm
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 .
41
Overall Score
Weighted average across all dimensions
C
Security Grade
Top 50%
65% confidence

Identity & Access Management

D+
Score:0
Weight:33%
Grade:D+ (Below Avg)

Compliance & Certification

F
Score:0
Weight:19%
Grade:F (Critical)

AI Integration Security

NEW
B
Score:0
Weight:12%
Grade:B (Top 25%)

API Security

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

Infrastructure Security

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

Data Protection

C
Score:0
Weight:10%
Grade:C (Top 50%)

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 16, 2026 at 06:53 AM

Assessment Transparency

See exactly what data backs this security assessment

Data Coverage

7/8 security categories assessed

88%
complete
Identity & Access
Available
Compliance
Available
API Security
Available
Infrastructure
Available
Data Protection
Available
Vulnerability Mgmt
Available
Incident Response
Available
Breach History
Missing

Score based on 7 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.

32 data sources successful

Transparency indicators show data completeness and vendor accessibility

🤖

AI Integration Security

🔒 9th Dimension

Assess whether Wallarm 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

D
41/100
MCP Available
🔌 MCP Server50/100
👨‍💻 Developer Experience0/100
📚 Documentation70/100
Top Recommendation:
⚠️ Official MCP server not found. Best alternative: https://github.com/EnableSecurity/wafw00f (Trust: 45/100)
🛡️

AI Security

Safety controls for AI agents

B
50.2/100
NOT_RECOMMENDED
🔐 Authentication10%
🔒 Access Control60%
👁️ Observability75%
🔏 Data Privacy70%
✅ Excellent Security:
Masking Sensitive Data rule available: 'The Mask sensitive data rule allows you to mask specific request point values so that these values will not be saved on the Wallarm side'
⚠️ 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

41
Security Score
C
Security Grade
0
Compliance Frameworks

Compliance & Certifications

0
Active
0
Pending
6
Not Certified

AI Integration Security Assessment

Industry-first assessment evaluating whether Wallarm 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

B
GRADE
Top 25%
50.2
AI Security Score
🔐Authentication
10
🛡️Access Control
60
👁️Observability
75
🔒Data Privacy
70
📊Confidence Score
96%
NOT_RECOMMENDED

Excellent Security Features

  • Masking Sensitive Data rule available: 'The Mask sensitive data rule allows you to mask specific request point values so that these values will not be saved on the Wallarm side'
  • GDPR referenced in compliance tracking: 'compliance - 19 frameworks tracked (SOC2, GDPR, HIPAA)' and Privacy Policy mentioned
  • Multiple restriction capabilities documented: 'File Upload Restriction', 'Action Restrictions' in mitigation controls, and blocking rules available
  • API Sessions tracking with 'Full context of threat actor activities', 'Multi-day sessions', and 'Comprehensive perspective on and control over the API attack surface'
  • Rate Limiting explicitly documented as feature: 'Rate Limiting' under Cloud-Native WAAP protection capabilities
  • SOC 2 Type II certification explicitly documented: 'SOC 2 Type 2 Guide' and 'compliance - 19 frameworks tracked (SOC2, GDPR, HIPAA)'
  • Bug bounty program confirmed: 'Bug Bounty Program' listed under Legal & Media section and Security menu
  • SOC 2 Type II certified with 19 compliance frameworks tracked
  • Active bug bounty program
  • Excellent PII redaction and sensitive data masking (85/100)

⚠️Security Gaps & Recommendations

  • No oauth scopes
  • No token expiration
  • No token rotation
  • No service accounts
  • No training opt out
  • No read only tokens
  • No ai attribution
  • No documented OAuth scopes or fine-grained API permissions
  • Missing token expiration and rotation policies
  • No MFA enforcement for API access documented
ℹ️

AI Integration Security evaluates whether Wallarm 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

D
GRADE
Below Avg
41.0
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

70

MCP Server Available

community

Wallarm 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/EnableSecurity/wafw00f (Trust: 45/100)
  • ⚠️ ⚠️ Use with caution - review code before use
  • ⚠️ Limited AI capabilities - consider alternatives
📊Confidence Score
90%
🕐Last Verified
10/14/2025
ℹ️

AI Readiness measures whether Wallarmprovides 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 Wallarm.

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 Wallarm'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 Wallarm yet.

🤖

Security Automation APIs

Programmatic user management, data operations, and security controls

Frequently Asked Questions

Common questions about Wallarm

12-month contract (2)

Source: Search insights from Google, Bing

Wallarm analyzes traffic and uses machine learning to reconstruct the application business logic. This logic is used to generate adaptive security rules on the fly.

Source: Search insights from Google, Bing

Answer coming soon. Check back later for updates.

Wallarm automatically discovers vulnerable endpoints and protects them against enumeration. API Abuse Prevention protects your applications and APIs against different types of automated threats. Based

Source: Search insights from Google, Bing

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Security Comparison Insight

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