Secure AI Engineering Framework 2026: Data-Boundary Security for Frontier Models
Unofficial defensive lab for explainable browser visitor risk-signal decisions.
A data-boundary framework for using frontier AI and local models in high-security software engineering.
CLI for public website crawlability, security.txt, sitemap, canonical metadata, and browser security header checks.
Cascaded web performance skills and Lighthouse tooling for AI agents: Core Web Vitals, budgets, JavaScript, images, fonts, caching, and CI checks.
Cloudflare Worker patterns for rate limiting, Turnstile, honeypots, timestamp freshness, and safe public form responses.
Cascaded secure-coding skills for AI agents: OWASP, CWE, auth, data, dependencies, cloud, and AI-agent security checks.
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