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 white box penetration testing?

White box penetration testing gives the tester full access to source code, architecture diagrams, and internal documentation. This allows deep analysis of code-level vulnerabilities — hardcoded secrets, logic errors, insecure deserialization, and authorization flaws — that are invisible from the outside.

Is white box testing better than black box testing?

Neither is universally better — they serve different purposes. White box testing finds the root cause of vulnerabilities at the code level and catches issues before deployment. Black box testing validates what an external attacker can actually see and exploit. A complete security program uses both.

AI Pentesting

White box penetration testing with source code access.

Vezraa provides autonomous AI pentesting that actively probes, exploits, and validates security weaknesses. Connect your repository and our AI agent performs deep code-level exploit analysis.

What white box testing uncovers

Hardcoded secrets — API keys, database credentials, encryption keys in source code
Insecure cryptographic implementations — weak algorithms, improper key management, padding oracle
Authorization logic flaws — missing role checks, improper access control in middleware
Injection vulnerabilities at the code level — raw SQL queries, unsafe deserialization
Sensitive data exposure — logging of PII, improper error handling revealing stack traces
Dependency vulnerabilities — known CVEs in outdated libraries and transitive dependencies

How AI-powered white box testing works

Connect your GitHub, GitLab, or Bitbucket repository to Vezraa
The AI agent analyzes your full codebase — source, config, infrastructure-as-code
It builds a semantic model of your application's architecture and data flow
The agent traces exploit paths from source code to running application
Validated findings include the exact code location, payload, and remediation suggestion

Code-level findings vs. external findings

White box finds the root cause — the actual line of code with the vulnerability
Black box finds the symptom — an endpoint that behaves unexpectedly
White box catches vulnerabilities before they reach production
White box discovers issues black box can't reach — dead code paths, disabled features
Combined approach: white box for pre-deployment, black box for post-deployment validation

Compliance and white box testing

SOC 2 — code review and white box testing recommended for critical systems
ISO 27001 — secure development lifecycle requires code-level security review
PCI DSS — requires code review of custom application code (requirement 6.3)
FedRAMP — requires both white box and black box testing for moderate/high impact
OWASP ASVS — level 2 and 3 require white box testing for full compliance

Repository integration and automation

Connect via OAuth — no token management, automatic access to your repositories
Automatic scanning on pull requests — block vulnerabilities before merge
SAST integration — static analysis combined with AI-powered exploit validation
Fix PRs — Vezraa can generate pull requests with remediation code for common findings
Continuous monitoring — re-scan on every commit to catch new vulnerabilities

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

Start Scanning →