Before releasing an AI-built app
- Authentication and authorization
- Input validation
- Handling of secrets such as API keys
- Dependency review
Code-level security review of AI-built applications and AI-enabled systems, from a developer's perspective — delivered as a report you can share outside your company.
Get in touchGenerative AI has made building faster, and code gets less scrutiny before release. We read it the way a developer would.
We confirm the repository, architecture, exposure, and data involved, and set the review scope.
We check authentication, permissions, input handling, secrets, dependencies, and AI-specific risks.
We write up the findings ranked by severity, with a remediation plan for each.
We fix the issues ourselves or support your team in fixing them.
Yes. We ask for read access to the repository or a copy of the code, under an NDA.
Yes. The report is written so you can share it where your business needs it — development vendors, security vendors, investors, lenders, and audits. The intellectual property in the report belongs to you.
We confirm the delivery date once we've seen the size of the review scope. Cost also depends on the size of the codebase; if you have a fixed budget, we can narrow the scope to fit it.
Executive decisions, workflow design, hands-on implementation — we help you sort it all out.