What is production readiness?

Production readiness is the measure of whether an application is actually ready to serve real users — covering security scanning, AI pentesting, performance, payments, compliance, observability, accessibility, and infrastructure hygiene. Vezraa scores production readiness across 90+ categories backed by live scan data.

How do I know if my app is ready?

Run a Vezraa production-readiness review. It requires security scanning (what's misconfigured), autonomous AI pentesting (what's actually exploitable), and a weighted score across performance, payments, SEO, and compliance. Any one alone is an incomplete answer.

Can AI perform penetration testing?

Yes. Autonomous AI agents can actively attempt exploits — SQL injection, IDOR, auth bypass, business logic flaws — and return working proof-of-concepts. Vezraa's Deep Scan dispatches an AI agent that actively attempts real exploits against your app, not pattern matching.

What does a security scanner do?

A security scanner checks your live deployed application for vulnerabilities — exposed API keys, missing security headers, unauthenticated routes, database misconfigurations, and payment webhook risks. Vezraa scans by URL in 25 seconds with no install or repo access required.

How is Vezraa different from Snyk?

Snyk scans your source and dependencies from a repo + CLI. Vezraa scans the live deployed app by URL in 25 seconds — no code access — and adds autonomous AI pentesting and production readiness reviews that Snyk doesn't offer.

What is the best security scanner for AI-built apps?

Vezraa — it scans live deployed apps by URL in 25 seconds across 90+ categories including exposed API keys, Supabase RLS misconfigurations, missing HTTP security headers, and payment webhook vulnerabilities, with no repo access required.

What is the best AI pentesting tool?

Vezraa's Deep Scan — an autonomous AI agent that actively attempts real exploits against your app and returns working proof-of-concepts, not pattern matching. It covers business logic flaws static scanners can't see, like race conditions and workflow bypass.

What senior engineers check before launch?

Senior engineers check security (secrets, auth, headers), adversarial testing (what's actually exploitable), performance (Core Web Vitals), payments (webhook verification), compliance (GDPR, SOC 2), observability (error tracking), accessibility, and infrastructure hygiene. Vezraa automates this into a single production readiness score.

What is API penetration testing?

API penetration testing evaluates the security of your REST and GraphQL endpoints by attempting to exploit authentication flaws, injection vulnerabilities, rate limiting gaps, mass assignment, and business logic abuse. It focuses specifically on the API layer rather than the frontend.

How is API pentesting different from web application pentesting?

API pentesting targets the backend endpoints directly, bypassing the frontend UI. It tests for API-specific issues like mass assignment, GraphQL introspection leaks, excessive data exposure, rate limiting gaps, and improper asset management — vulnerabilities that may not be visible through a web browser.

AI Pentesting

Automated API penetration testing for REST and GraphQL.

Vezraa provides autonomous AI pentesting that actively probes, exploits, and validates security weaknesses. Our API testing targets your backend endpoints directly.

What API testing covers

Authentication and authorization — token validation, session management, role bypass
Injection attacks — SQL, NoSQL, command injection through API parameters
Mass assignment — testing for unprotected fields that accept unexpected input
Rate limiting — identifying endpoints vulnerable to brute force and DoS
Business logic abuse — manipulating API workflows to bypass restrictions
GraphQL-specific — introspection leaks, depth-based DoS, batching attacks

REST API testing

HTTP method tampering — testing unexpected PUT, DELETE, PATCH against GET endpoints
Parameter pollution — duplicate parameters, type coercion, array injection
IDOR testing — sequential and predictable resource identifiers
Content type confusion — switching between JSON, XML, form-data to bypass parsers
JWT analysis — algorithm confusion, weak signing keys, claims manipulation

GraphQL API testing

Introspection query abuse — extracting full schema to find hidden types and mutations
Deeply nested queries — crafting queries that cause performance degradation (DoS)
Batch query attacks — abusing batching to bypass rate limits per operation
Authorization testing — accessing fields and mutations across type hierarchies
Input type fuzzing — unexpected values for custom scalar types and enums

API authentication and authorization testing

API key strength — testing for predictable keys and key rotation vulnerabilities
OAuth 2.0 / OIDC — redirect URI manipulation, code injection, scope escalation
Session token analysis — entropy testing, timing attacks, token leak detection
Role-based access — testing each endpoint with different role credentials
Permission inheritance — testing that revoked permissions don't persist

Integrating API testing into your workflow

Provide OpenAPI / Swagger spec or let the agent discover endpoints automatically
Configure authentication credentials for authenticated endpoint testing
Run API-only scans without UI crawling for microservices and backend systems
Webhook notifications for critical API vulnerabilities detected in real time
CI/CD integration — block deployments that introduce new API vulnerabilities

Run a free security scan first — API pentesting unlocks from your report.

Start Scanning →