Exposed credentials & API keys
Detect hardcoded secrets in frontend code, environment files and public repos.
45% of AI-generated code contains security vulnerabilities. We audit apps built with Claude Code, Cursor, Bolt, Lovable and Replit. Find the problems. Fix them. Stop them coming back.
Forty-five percent of AI-generated code contains security vulnerabilities. That is not a scare stat. It is the reality Veracode found when they analysed millions of lines of AI-written code.
Lovable apps? Average security score of 56 out of 100. Bolt? 66. If you have shipped an AI-built app without a proper security review, there is a real chance it is leaking data right now.
Based in Perth, working with businesses across Australia. Our security work is aligned with the Australian Cyber Security Centre's Essential Eight framework and the Australian Privacy Act.
Detect hardcoded secrets in frontend code, environment files and public repos.
Review access controls, session management, token security and permission logic.
Test for SQL injection, XSS, CSRF and other injection vectors in all inputs.
Audit API endpoints, CORS policies, rate limiting and request validation.
Review data encryption in transit and at rest. Check PII handling and storage.
Scan all packages and dependencies for known CVEs and outdated libraries.
Test AI-powered features for prompt injection and model manipulation attacks.
Detect model API keys in client-side code and data leakage to AI providers.
Review server configuration, file permissions, error handling and logging.
Every finding is categorised by severity and documented in plain English so your team can understand what needs fixing and why.
Static analysis, dependency scanning and automated vulnerability detection across your entire codebase.
Human review of auth flows, API endpoints, input handling and AI-specific attack vectors. Scanners miss context.
Test authentication flows, injection vectors, CORS, session handling and prompt injection in a running environment.
Plain-English report with severity ratings. We patch critical issues, set up monitoring, and harden your deployment.
A one-off audit is a good start but security is not a checkbox. We offer ongoing security management: continuous monitoring, patch management, regular re-audits and incident response.
Every security audit is scoped based on the size of your application, the number of integrations, and whether AI-specific checks are needed.
Surface-level checks start free. Full penetration testing is scoped individually. Either way, you know the cost before we begin.
▸ free surface check · fixed audit pricing · no surprise invoices
You built with Lovable, Bolt or Cursor and shipped without a security check. You need one now.
Your app handles PII, payments or health data. Australian Privacy Act compliance is not optional.
A client sent you a security questionnaire and you need to prove your app is hardened.
AI features in production, growing user base. Time to make sure the foundation is solid.
Josh and the VibeZero team turned a mess of ideas into a working product faster than I thought possible. They actually listened to what we needed, didn't overcomplicate things, and delivered something our team could use straight away. Genuinely one of the best tech experiences I've had as a business owner.
Working with VibeZero was refreshingly straightforward. No jargon, no upselling, just solid work delivered on time. They understood our business from the first call and built exactly what we asked for. I'd recommend them to any small business looking to actually get results from AI.
A conversation about what you need. No pitch deck, no commitment. A straight answer on whether we can help.
Clear proposal with fixed pricing, deliverables, and timeline. You know what you're getting before any work starts.
Regular check-ins, no surprises, a finished product that works in production. Most projects wrap in weeks.
We don't disappear after launch. Ongoing support, managed services, and the option to keep improving.
Research from Veracode shows 45% of AI-generated code contains security vulnerabilities. Common issues include hardcoded credentials, missing authentication, injection vulnerabilities and insecure API configurations. The speed of AI coding often comes at the expense of security best practices.