Native AI cybersecurity that predicts and prevents enterprise threats across your entire attack surface
Security scanning for AI-built apps
Stage
Not given
Startup
Founded
Not given
Not given
Based in
Not given
US
Pricing model
Paid
Freemium
Pricing
Pro: $199/mo (up to 10 users, core modules, limited tokens); Max: $499/mo (up to 50 users, full platform, priority support); Ultra Max: Custom pricing (unlimited users, dedicated support, custom integrations). Prices in USD per month.
Free scan: $0. Fix Pack: $29 one-time (includes one deep scan and 2 re-scans for one app, plus 30 days of monitoring). Stay Locked: $15/mo (includes unlimited re-scans of one app, independent scan on every deploy, automatic daily re-scan). DIY playbook: $9 ebook.
Key features
Continuous threat monitoring without interruption across the entire attack surface
Findings ranked by actual attacker impact with plain language reporting
Expert-led security operations with human review and judgment on high-consequence decisions
Scans for leaked API keys and secrets from major providers
Detects exposed .env and .git files
Checks security headers and missing protections
Detects Supabase and Firebase backends
Copy-paste fix prompts for every finding
Ownership-verified deep scan with RLS testing
Automatic deployment scanning and grade monitoring
Passive and read-only scanning
Scans up to 20 JavaScript bundles and source maps
Integration with AI assistants via Model Context Protocol
What makes it different
Native AI intelligence layer unified across all five security disciplines rather than fragmented tools
Research-driven product architecture that evolves based on measurement and accuracy validation
Industry-specific threat modeling tailored to financial services, healthcare, SaaS, public sector, manufacturing and retail
Specifically designed for AI-generated apps from Lovable, Bolt, Replit, Cursor and v0
Free scan with no signup required
Copy-paste fix prompts tailored to your AI builder
Re-scanning to prove fixes work
Automated alerts when security grade drops on deployment