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 autonomous pentesting?

Autonomous pentesting uses AI agents to actively probe, exploit, and validate security weaknesses without human intervention. Unlike traditional scanners that match known signatures, autonomous agents reason about the application, chain together exploits, and deliver working proof-of-concepts.

How is autonomous pentesting different from a traditional vulnerability scanner?

Traditional scanners compare your app against a database of known vulnerability signatures. Autonomous pentesting dispatches an AI agent that thinks like a human attacker — it explores your application, deduces logic flaws, attempts real exploits, and validates whether each exploit actually succeeds.

AI Pentesting

Dispatch autonomous AI agents against your application.

Vezraa provides autonomous AI pentesting that actively probes, exploits, and validates security weaknesses. Our agent doesn't just report potential issues — it proves them with working exploit code.

How autonomous pentesting works

The AI agent crawls and maps your entire application surface area
It reasons about business logic and identifies potential exploit chains
The agent constructs and dispatches real exploit payloads against identified vectors
Every finding is validated — the agent confirms the exploit actually worked
You receive a working proof-of-concept with reproduction steps for each finding
One free re-test validates your fixes actually closed the exploit

What autonomous agents find that scanners miss

Business logic flaws — discount abuse, currency manipulation, workflow bypass
Race conditions — time-of-check time-of-use vulnerabilities in concurrent operations
Authorization chaining — privilege escalation through multi-step workflows
Authentication bypass — session prediction, token replay, OAuth misconfiguration
API abuse — rate limit circumvention, mass assignment, parameter pollution

Autonomous vs. manual pentesting

Autonomous agents run 24/7 — no scheduling or human fatigue limits
Manual pentesters cost $10,000–$50,000 per engagement with 2–4 week turnaround
Autonomous pentesting completes in hours and costs a fraction of manual testing
Human pentesters excel at novel business logic — agents improve with every scan
Vezraa bridges both: AI handles the breadth, human experts review the depth

When to run an autonomous pentest

Before every major release to catch regressions in authentication and authorization
After infrastructure changes — new CDN, API gateway, or database migrations
Post-bug-bounty to verify reported vulnerabilities are actually fixed
Compliance cycles — SOC 2, ISO 27001, and PCI DSS all require regular penetration testing
As part of a CI/CD pipeline to block deployments with critical exploit chains

Supported testing modes

Black box — no source code, the agent probes like an external attacker
White box — source code connected so the agent performs deep code-level analysis
Grey box — authenticated testing with test credentials for deeper session-level attacks
API-only — targeted testing of REST and GraphQL endpoints without UI crawling
LLM-specific — prompt injection, model extraction, and OWASP LLM Top 10 testing

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

Start Scanning →