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 AI red teaming?

AI red teaming uses autonomous AI agents to simulate real-world attackers against your application. Unlike static analysis or signature-based scanning, AI red teams reason about your application's logic, chain together multiple exploits, and deliver validated findings with proof-of-concept code.

How often should I run AI red team exercises?

Continuous red teaming is ideal — every sprint or release. Vezraa's automated red team runs in hours, so you can test before every deployment. At minimum, run a full red team exercise before major releases and after any significant infrastructure or authentication changes.

AI Pentesting

Automated AI red teaming for your application.

Vezraa provides autonomous AI pentesting that actively probes, exploits, and validates security weaknesses. Our AI red team simulates real attackers with autonomous agents that find what scanners miss.

What AI red teaming covers

Business logic flaws — abuse of features, workflow bypass, privilege escalation
Authentication and session management — token weaknesses, session fixation, OAuth misconfigurations
Authorization bypass — horizontal and vertical privilege escalation attempts
Input validation — injection attacks, XSS, SSRF, and deserialization exploits
Configuration weaknesses — exposed debug endpoints, default credentials, misconfigured CORS
API security — rate limit gaps, mass assignment, parameter tampering

How Vezraa's AI red team works

The agent begins with reconnaissance — mapping endpoints, forms, and API routes
It builds a threat model based on your application's functionality and data flow
The agent generates and tests exploit hypotheses against live endpoints
Validated exploits are captured with full HTTP request/response evidence
Each finding includes a proof-of-concept and step-by-step reproduction guide
Your development team gets actionable reports, not raw vulnerability lists

AI red team vs. traditional red team

Traditional red teams cost $20,000–$100,000 per engagement with weeks of preparation
AI red teaming runs on demand — no scheduling, no scoping meetings, no delays
Human red teams bring creativity — AI red teams bring consistency and speed
Vezraa combines both: AI breadth for continuous testing, human depth for complex scenarios
AI red teaming integrates directly into CI/CD pipelines for shift-left security

When to engage an AI red team

Before launching a new product or major feature to catch logic-level vulnerabilities
After integrating third-party services that expand your attack surface
Quarterly compliance-driven testing for SOC 2, ISO 27001, and PCI DSS
Post-incident — validate that a security event's root cause is fully remediated
Continuous monitoring — run weekly or daily red team scans as part of security operations

Evidence and compliance reporting

Every exploit attempt is logged with full request and response payloads
Downloadable PDF reports suitable for SOC 2, ISO 27001, and PCI DSS auditors
Executive summaries with risk scoring and remediation priority
Technical deep-dives for your engineering team with reproduction steps
Remediation verification — one free re-test to confirm fixes are effective

Run a free security scan first — AI red team unlocks from your report.

Start Scanning →