Security analysis for AI-built products
Find what blocks a product from being ready to ship.
nGuard reviews repositories and live URLs, then returns prioritized findings with proof, scoring, and hardening guidance.
Start where the product is
Run nGuard against code, a deployed URL, or both.
The user does not need to describe the system first. nGuard profiles the target, chooses the applicable checks, and marks unavailable checks instead of pretending they ran.
Coverage
Standards and scan coverage are visible upfront.
Security teams should not need a demo to understand the surface area. nGuard shows the standards it maps to and the scan families it runs, while the report carries the detailed evidence.
Mapped standards
Findings are tagged against the frameworks security, audit, and AI-risk teams already recognize.
Scan families
LLM and agent red-team coverage
AI-specific checks are shown separately because they are becoming a buying requirement. nGuard should detect when they apply, run them automatically, and include them in the final scorecard.
Run flow
A clear path from target to hardening plan.
The homepage only needs to explain the journey. Deeper engine detail belongs inside the dashboard, run report, and documentation.
Profile the target
nGuard detects the stack, routes, services, auth patterns, live surface, and AI-specific behavior where present.
Run the analysis
Static, runtime, and AI checks run with progress per engine. Partial engine failures are reported instead of hiding uncertainty.
Return the scorecard
The final output is a readiness score, prioritized findings, evidence, and the next actions required before launch.
Evidence
Customers should see exactly why a score changed.
The report is the product moment. It needs to explain risk, proof, and next action without forcing the customer to trust a black-box score.
One report for security, engineering, and customer proof.
Keep the homepage simple; let the report carry the depth. That is where standards, engines, applicable tests, evidence, and fixes should be explored.
Ready to run
Start with the asset you have.
Connect source code for full analysis, or scan a deployed URL first when repo access is not available.