We already have a security team. Why do we need this?
Your security team watches for attackers. Shadow AI is an insider problem — it's your own engineers making pragmatic decisions under deadline pressure. Traditional SAST and SIEM tools aren't built to detect LangChain imports or OpenAI prompt injections. Shadow Scout specifically maps to AI-era risks your existing stack is blind to.
Does the scanner actually send code to the cloud?
No. Shadow Scout runs entirely on-premise via a self-contained .exe. The scanner reads your local filesystem and performs all analysis in-memory. The only outbound connection is a Solana RPC call to timestamp your audit hash on-chain — no code, no file contents, just a hash. You can verify this with a network monitor.
The EU AI Act doesn't apply to us — we're not based in the EU.
The EU AI Act has extraterritorial reach: if you have EU customers, process EU resident data, or deploy systems that affect EU persons, you are subject to it. This is the same principle as GDPR. If any part of your pipeline touches EU data, you have obligations. The NIST AI RMF report Shadow Scout generates applies globally regardless.
$49 seems low. Is this actually a finished product?
$49 is intentional impulse pricing — low enough that you don't need a purchase order, high enough that we're serious. Shadow Scout is built on production-hardened Python AST tooling that has been used to audit enterprise codebases. The low price reflects our launch strategy: we want density of users and proof cases more than margin at this stage. The price will increase.
What operating systems are supported?
The primary deployment is a Windows .exe for one-click operation. The underlying scanner supports any codebase (Python, Node.js, Java, Go, Ruby, PHP, .NET) regardless of the OS it originally ran on. Linux and macOS support via Docker is on the roadmap for Q3.
Can I scan multiple repositories?
Yes. Your $49 license covers unlimited local scans with no per-seat or per-repo restrictions. Run it across your entire monorepo or each microservice independently. Each scan generates a fresh timestamped report.