In this investigative episode, Malcolm Werchota dissects the LocalMind disaster and exposes the myth that geography equals security.
Learn why Microsoft’s cloud is safer than local startups, how to run proper AI vendor security audits, and the five technical questions every organization must ask before adopting AI tools.
Key takeaways:
• “Local and secure” is marketing, not magic
• The 77% AI startup breach rate nobody talks about
• Third-party audit obligations under GDPR
• Spotting AI-generated code vulnerabilities
• The five security questions that save careers
If you’re evaluating AI vendors or already using AI tools with sensitive data, this episode might just save your organization from becoming the next LocalMind.
The LocalMind catastrophe is a wake-up call for any organization trusting AI vendors with confidential data.
Marketed as the GDPR-compliant alternative to Microsoft Copilot, the startup’s “local and secure” slogan masked catastrophic vulnerabilities — from unencrypted passwords to exposed network access.
The breach went undetected for seven months, cost €47,000 in direct response, and left hundreds of clients unnotified when the company abruptly vanished.
Malcolm breaks down what went wrong, explains why cloud giants actually offer stronger security, and shares a practical due-diligence checklist to evaluate AI vendors safely.
“Geography is not a security control. LocalMind being in Austria made it less secure than Microsoft’s cloud infrastructure.”
“If a vendor can’t explain how they store credentials or handle incidents — walk away.”
“Seventy-seven percent of AI startups reported breaches. The question isn’t if — it’s how prepared they are.”
“‘Local and secure’ was never a security guarantee. It was just good marketing.”
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