Native AI cybersecurity that predicts and prevents enterprise threats across your entire attack surface
AI security agent that finds vulnerabilities in AI-built apps, prepares fixes, and verifies the live app after deployment
Stage
Not given
Startup
Founded
Not given
2026
Based in
Not given
US
Pricing model
Paid
Free trial
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 with no card required. 7 days free trial with card, then $80/month USD. One organization with up to three included full-access people. $20/month per additional full-access person.
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
Continuous attack-surface mapping of exposed endpoints, services, and certificates
Vulnerability investigation with confirmed evidence and real impact explanation
Automatic fix pull requests on separate GitHub branches
Live verification that vulnerabilities are actually closed after deployment
Team notifications via Slack, Discord, and email with weekly summaries
Detection of exposed endpoints, leaked keys, open buckets, and injection paths
Domain ownership verification via DNS TXT record
Live retest to confirm vulnerability closure after fix deployment
Plain-English vulnerability titles with technical details in records
Multi-domain support on single surface map
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
Verifies vulnerabilities are actually fixed by testing the live deployed app after fixes ship
Prepares actionable fix pull requests you review and control before deployment
Designed specifically for AI-built applications that ship vulnerable code by default
Continuously monitors your changing app surface and checks again automatically
Shows evidence behind every finding so you can verify the work yourself
Prava
Zoltra