indigitall Security Assessment
AI & Machine Learning
indigitall is the only platform that integrates all outgoing and incoming channels to streamline and enhance your communication with customers, ensuring an excellent user experience while attracting new leads and generating more sales and opportunities. It is an omnichannel platform focused on digital communication, marketing automation, cybersecurity, and customer journey management, leveraging the most innovative technology and integrating generative artificial intelligence, all integrated into a single platform for use and data analysis.
9-Dimension Security Framework
Identity & Access Management
API Security
AI Integration Security
NEWInfrastructure 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 05:48 AM
Assessment Transparency
See exactly what data backs this security assessment
Data Coverage
6/8 security categories assessed
Score based on 6 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.
Security Documentation
These documents were discovered during automated assessment and may contain additional security information not reflected in the score.
Transparency indicators show data completeness and vendor accessibility
AI Integration Security
🔒 9th DimensionAssess whether indigitall 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
Essential Security Analysis
Based on available security assessment data
Compliance & Certifications
AI Integration Security Assessment
Industry-first assessment evaluating whether indigitall 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
- ●Encrypted Push feature mentioned (WiZink banking success story)
- ●HIPAA compliance awareness with dedicated blog content
- ●Code of Ethics for AI section exists
⚠️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 indigitall 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
Shadow AI Risk: HIGH
No official MCP server detected. AI agents may use undocumented APIs or web scraping, increasing security risks and reliability issues. indigitall should implement MCP support for secure AI integration.
💡Recommendations
- →❌ No MCP servers found - AI agent integration not available
- →❌ Poor AI readiness - not recommended for AI workflows
AI Readiness measures whether indigitallprovides 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
Production-ready code examples for security operations, extracted from official indigitall API documentation using LLM analysis. Copy and paste these examples directly into your automation workflows.
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 indigitall's security posture, operational maturity, authentication capabilities, security automation APIs, and breach intelligence.
Operational Maturity
Support, SLAs, and documentation quality
Documentation Quality
50% • FairAuthentication Data Not Yet Assessed
We haven't collected authentication and authorization data for indigitall yet.
Security Automation APIs
Programmatic user management, data operations, and security controls
No Known Breaches
indigitall has no publicly disclosed security breaches in our database.
Compare with Alternatives
How does indigitall stack up against similar applications in AI & Machine Learning? Click column headers to sort by different criteria.
| Application | Overall ScoreScore↓ | Grade | AI Security 🤖AI 🤖⇅ | Action |
|---|---|---|---|---|
56/100🏆 | B+ | N/A | View ProfileView | |
indigitallCurrent | 50/100 | B | 18.5/100 | |
49/100 | C+ | N/A | View ProfileView | |
39/100 | D+ | N/A | View ProfileView | |
36/100 | D+ | N/A | View ProfileView | |
28/100 | F | N/A | View ProfileView | |
23/100 | F | N/A | View ProfileView |
Security Comparison Insight
3 alternative(s) have higher overall security scores. Review the comparison to understand security tradeoffs for your specific requirements.
Research Sources
56 citations for indigitall
Data from static JSON · Last enriched: October 8, 2025