Scanaris

People building apps quickly with AI tools and no-code platforms such as Lovable, Bolt, v0, Cursor or Replit often ship without security expertise. Their sites can end up with missing security headers, leaky cookies, exposed .env or .git files, secrets embedded in JavaScript bundles, and misconfigured TLS or CORS settings. These builders are not security teams and don't want to learn CSP syntax or wade through a wall of generic, low-severity checklist items. Left unaddressed, these mistakes leave live, deployed apps exposed to attackers who can find the same public information any browser can see.

Scanaris scans a live website from the outside, the same way an attacker would, checking eight pillars: security (headers, cookies, exposed files, secrets, TLS), SEO, AI visibility (whether ChatGPT, Claude and Perplexity recommend the site), performance via Core Web Vitals, domain health, email anti-spoofing records, accessibility basics, and GDPR compliance signals. Results are ranked by severity (critical, high, medium, low) so the most dangerous issues surface first, and each issue comes with a ready-to-paste AI fix prompt for tools like Cursor or Claude. Reports are available in multiple languages, and users can add an embeddable trust badge to show their score. Beyond the one-time scan, Scanaris offers ongoing monitoring with automatic re-scans, alerts when a score drops or a critical issue appears, and uptime/status-page tracking. It requires no installation or agent, just a URL, and runs entirely from Scanaris's own servers using read-only checks that never modify the target site.

The pitch centers on 'vibe-coded' apps built rapidly with AI tools and no-code platforms, which the site argues creates a new wave of security-mistake-prone sites that generic scanners and manual security review don't serve well.