You didn’t build it. You’re still sued.

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Derek Mobley applied to over 100 jobs through Workday's platform over seven years.

He was rejected within minutes. Every time.

Mobley is an African American male over 40 with a finance degree from Morehouse College. His lawsuit alleged that Workday's AI screening tool systematically discriminated against him based on race, age, and disability.

In July 2024, a federal judge allowed the case to proceed. By May 2025, it achieved nationwide class action certification, potentially covering millions of applicants over 40.

Here's the part that matters for every organization using Workday or any AI hiring tool:

The court ordered Workday to produce a list of every customer that had used its AI features since September 2020. Not just Workday. Every company that used the tool. Hundreds of organizations suddenly exposed to discovery, investigation, and potential liability for an AI they didn't build and couldn't see inside.

You didn't build the AI. You're still liable.

The court was clear: drawing a distinction between software decision-makers and human decision-makers would gut anti-discrimination laws. Your vendor's AI is making decisions on your behalf. Those decisions are your decisions.

And your vendor's contract almost certainly doesn't protect you. 88% of AI vendors cap their own liability at monthly subscription fees. Only 17% provide warranties for regulatory compliance. Most contracts require you to hold the vendor harmless for discriminatory outcomes.

Your vendor is protected. You aren't.

The gap most organizations haven't closed:

Most organizations evaluate AI vendors the same way they evaluate any software. Features, pricing, integration, support.

Nobody asked: What decisions is this AI making on our behalf? How was it trained? What biases might be baked in? What's our liability exposure when it gets something wrong?

Those aren't IT questions. They're AI governance questions. And the organizations that can't answer them are the ones showing up in class action lawsuits alongside their vendors.

AAISM covers exactly this. How to evaluate AI vendors for risk before deployment. How to build governance frameworks that account for AI decision-making liability. How to implement monitoring that catches discriminatory or incorrect AI outputs before a court does.

We just launched the AAISM MasterClass so you can study at your own pace. Our next AAISM Bootcamp runs July 20-22.

Best,
The DestCert Team

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Free CISM MindMap: Information Security Control Design and Selection


We put together a free MindMap video covering the key concepts in Domain 3, a quick, clear way to get the big picture before you dive into studying. Free to watch, no strings attached. Plus you'll get downloadable audio files and printable PDFs.

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The Easiest Way to Pass Your Advanced in AI Security Management (AAISM) Exam


Master AI Security Leadership. We’ve designed this bootcamp for cybersecurity professionals ready to take their expertise into the AI era. You’ll master practical frameworks for securing real-world AI systems and earn the certification that proves you’re ahead of the curve.

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Free AAISM Exam Strategies Guide


Master the mindset and techniques top candidates use to pass the AAISM exam with confidence. Learn how to approach scenario-based questions, avoid common traps, manage your time effectively, and think like an AI security leader.

Free CCSP Cloud Data Security and Encryption Mini MasterClass


If you’re interested in cloud security, check out our new FREE Mini MasterClass. It digs into cloud data security and encryption. It’s based on the CCSP certification requirements, but even if you’re not thinking of getting certified, what you learn is very useful in practice if you ever need to deal with cloud data security.

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