AI Code Security Audit

AI-powered development has changed what’s possible. Teams are shipping faster than ever, spinning up applications in hours instead of weeks, and doing it with smaller engineering headcounts than anyone thought feasible a few years ago. That speed is genuinely impressive. It also comes with a catch.

When AI generates code at scale, it generates risk at scale too. Security vulnerabilities, dependency issues, exposed secrets, and compliance gaps don’t disappear because a machine wrote the code. They just accumulate faster, and most teams don’t have a process in place to catch them before something goes wrong.

A single serious data breach is enough to permanently damage a brand’s reputation. Compliance lapses can turn into expensive lawsuits. And the same AI tools used to build applications can be turned against them by attackers who know exactly what patterns and weaknesses AI-generated code tends to produce.

Alpine Mar IT’s AI Code Security Audit exists for exactly this moment. We give development teams and business owners a comprehensive, independent review of their AI-generated codebase so they can build with confidence instead of crossed fingers.

What We Do

Our audits are comprehensive by design. We cover the full attack surface of your application, from the code itself to the dependencies it relies on to the way it behaves at runtime.

Software Composition Analysis (SCA)

We audit every third-party library and open-source dependency in your codebase. If a component has a known vulnerability, is outdated, or carries a license risk, we find it and tell you exactly what to do about it.

Static Application Security Testing (SAST)

We analyze your source code without running it, using data flow analysis, control flow analysis, and semantic analysis to surface vulnerabilities that automated tooling alone typically misses. This includes injection flaws, insecure data handling, authentication weaknesses, and more.

Supply Chain Posture Analysis

Modern software relies on a long chain of tools, packages, and pipelines. We assess the security posture of your entire software supply chain to identify where a compromised upstream component could put your application at risk.

Secrets Scanning

API keys, credentials, tokens, and other sensitive values have a way of ending up in codebases where they don’t belong. We scan thoroughly for any exposed secrets before they become someone else’s access point into your systems.

Manual Code Peer Review

Automated tools are powerful, but they don’t catch everything. Our engineers conduct hands-on code reviews to identify logic flaws, architectural weaknesses, and context-specific vulnerabilities that only a trained human eye is going to find.

Dynamic Application Security Testing (DAST)

We test your application while it’s running, using crawling, simulated attacks, and runtime analysis to uncover flaws that only appear under real-world conditions. This includes how your application responds to unexpected input, malformed requests, and active exploit attempts.

Application Penetration Testing

We attempt to breach your application the way an attacker would, using the same techniques and tools that real threat actors use. What we find becomes the roadmap for hardening your application before anyone with bad intentions gets the same opportunity.

Fuzzing

We send a high volume of unexpected, malformed, and random inputs to your application to uncover crashes, memory leaks, and edge-case vulnerabilities that standard testing approaches don’t surface.