Talon Audit — a privacy-first website exposure and remediation platform

I built Talon Audit to solve a problem most website tools handle badly: they detect issues, but rarely help teams understand what matters, what to fix first, or whether the fix actually worked.

Talon analyses public-facing websites across four connected domains:

Exposure — browser protections, cookies, scripts, TLS, and visible configuration risks Integrity — broken resources, routes, errors, forms, and reliability regressions Experience — accessibility, mobile usability, speed, and interaction friction Conversion — messaging, trust signals, pricing paths, forms, and calls to action

The product follows a complete improvement workflow:

Detect → Explain → Fix → Verify → Monitor

Every finding is structured around evidence, severity, confidence, impact, remediation guidance, and a verification method.

I led the project from strategy to launch, including:

product positioning and methodology

UX/UI and design system

full-stack implementation

AI-assisted analysis and remediation workflows

privacy and security boundaries

pricing, demo experience, and launch

Talon performs passive, low-impact analysis only. It does not exploit systems or claim to replace authorised penetration testing.

Built through a terminal-first AI-native workflow using Codex 5.5 and Claude Fable.

Live product: talonaudit.com

Role: Product Strategy, Product Design, Full-Stack Development, AI Development

Structuring findings around evidence, severity, and verification methods makes remediation so much clearer. How are you handling false positives during passive analysis?