Exposed credentials & API keys
Detect hardcoded secrets in frontend code, environment files and public repositories.
Ongoing managed security
Managed AI app security & pen testing
Managed AI app security is an ongoing retainer for businesses running AI-built applications in production, covering quarterly penetration testing, continuous monitoring and Essential Eight alignment. A one off audit catches what was broken yesterday. Production applications need ongoing scrutiny because Veracode found that 45% of AI generated code samples introduced known security flaws. This is the recurring engagement, with Essential Eight alignment and Australian Privacy Act reviews on a retainer. New to security? Start with a one off audit.
The risk
AI apps ship with real vulnerabilities
Veracode found that forty-five percent of AI generated code samples introduced known security flaws. That is why one release review is not enough for a production application that keeps changing.
Based in Perth and working nationally, our security work aligns with the Australian Cyber Security Centre's Essential Eight framework and the Australian Privacy Act.
Scope
What we check in an AI security audit
Static analysis, manual review and runtime testing combined. Every finding is ranked by severity and documented in plain English.
Authentication & authorisation
Review access controls, session management, token security and permission logic.
Input validation & injection
Test for SQL injection, XSS, CSRF and other injection vectors in every input.
API security & CORS
Audit endpoints, CORS policies, rate limiting and request validation.
Data handling & encryption
Review encryption in transit and at rest, plus PII handling and storage.
Dependency vulnerabilities
Scan packages and dependencies for known CVEs and outdated libraries.
Prompt injection
Test AI powered features for prompt injection and model manipulation attacks.
AI API key exposure
Detect model API keys in client code and data leakage to AI providers.
Environment configuration
Review server configuration, file permissions, error handling and logging.
Method
How security auditing actually works
A one off audit is a good start, but security is not a checkbox. Managed security adds monitoring, patch management, recurring retests and incident response.
Analyse
Automated analysis
Static analysis, dependency scanning and automated vulnerability detection across the codebase.Review
Manual code review
Human review of auth flows, API endpoints, input handling and AI specific attack vectors. Scanners miss context.Test
Runtime testing
Test authentication flows, injection vectors, CORS, sessions and prompt injection in a running environment.Harden
Fix and harden
A plain English report with severity ratings. We patch critical issues, set up monitoring and harden the deployment.
Pricing
How we scope and quote
Fixed scope before work starts. A free surface check identifies obvious exposure. Full penetration testing and the recurring managed security retainer are quoted to application size, integrations and risk. You know the cost before we begin.
Free surface check
Obvious vulnerabilities identified.
Fixed audit price
Full test scope agreed upfront.
Plain English report
Prioritised findings instead of a two hundred page jargon document.
Recurring assurance
Quarterly retests, continuous monitoring and incident response.
Who needs this
Who managed AI security is for
Shipped an AI app
One audit is no longer enough
A production application is changing and needs recurring review, not a single point in time check.
Handling user data
Privacy obligations
Your app handles PII, payments or health data and needs to keep proving the app is safe.
Enterprise client
Security assurance
A client needs proof the app is still secure after the questionnaire is completed.
Growing fast
Scaling AI features
AI features and user volume are growing, so monitoring and regular retesting need to grow with them.
Clients
What our clients say
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.
Process
How we work
Conversation
Free consultation
A conversation about what you need, with no pitch deck and no commitment, and a straight answer on whether we can help.Agreement
Scope and proposal
You get a clear proposal with fixed pricing, deliverables and timing, and you know what you are getting before any work starts.Delivery
Build and deliver
You get regular check ins, no surprises and a finished system that works in production, with delivery timing agreed in the proposal.Aftercare
Support and iterate
We do not disappear after launch, and ongoing support, managed services and the option to keep improving remain available.
Related work
What tends to sit beside AI Security
Implementation, assurance and enablement work that can materially change the result.
Practical details
Questions about AI Security
Commercial terms, delivery, ownership and fit, answered before a proposal is written.
Free assessment
Get your AI app assessed for free
Free surface level check, no obligation.