Developer submits access request
Business justification, requested scopes, authentication controls, and data access needs are submitted through a mock developer portal.
AI + Cybersecurity Product Demo
AI-Powered Security Risk Reviewer
Simulate how organizations evaluate third-party API access requests before granting access to sensitive customer and business data.
This portfolio project models a real-world workflow where a developer submits an API credential request and a security review system evaluates risk using governance principles such as least privilege, data minimization, defense in depth, and fail-safe defaults.
This is a simulated portfolio demo using local rule-based logic. No real customer or sensitive data is processed.
Workflow
How the workflow operates
The demo simulates how organizations review third-party API access requests before granting access to sensitive systems and customer data.
Security controls are evaluated
The system reviews encryption, authentication strength, retention controls, and incident readiness.
Risk signals are analyzed
Sensitive data access, broad permissions, weak controls, and unclear justifications increase risk.
Reviewer dashboard generates a decision
The system produces a simulated audit-friendly recommendation with risk scoring and remediation guidance.
Security Principles
Principles demonstrated
Least Privilege
Ensure access is limited to only what is required.
Data Minimization
Reduce unnecessary access to sensitive data.
Fail-Safe Defaults
Deny unclear or excessive requests by default.
Defense in Depth
Layer authentication, encryption, and governance controls.
Separation of Duties
Separate request submission, review, and remediation ownership.
Complete Mediation
Review every request against current request details.
Portfolio Value
Why this project matters
This project demonstrates cybersecurity analysis, governance thinking, IAM-style access review workflows, risk evaluation logic, and audit-friendly decision framing in a simulated AI-assisted environment.