AI is everywhere — in your inbox, your office tools, your phone, and probably in places your business never approved.

In this episode, Alyson and Omar break down what AI really does behind the scenes, how “shadow AI” sneaks into organizations, and the red-flag risks business leaders must understand before adopting any AI technology.

Omar and Alyson dig into:

• Why tools like Gmail, Google Workspace, LinkedIn, and meeting transcription bots are training on your data by default
• What “shadow AI” actually means and why it can quietly put your organization at risk
• Real examples of data exposure, privacy breakdowns, and AI systems behaving badly
• The business and legal dangers of using AI-generated contracts, customer service tools, or code
• A practical checklist to evaluate ANY AI vendor before you deploy them inside your company
• How mis-trained or garbage-in-garbage-out models can cause catastrophic business mistakes
• Why your vendors’ use of AI directly becomes your risk
• The future: data governance, transparency, and the uncomfortable imbalance of power between tech giants and consumers

This episode blends expertise, humor, and blunt honesty; it's a human conversation about a technology that affects every business decision today.

👉 If this episode helps you, please like, subscribe, and share. Sharing really fuels our mission to make cybersecurity more human, accessible, and resilient. Chapters:

00:00 – Intro & disclaimers

02:30 – Why tough conversations matter

03:30 – What is Shadow AI?

04:30 – Unmonitored AI and business risk

05:00 – Gmail, Google, LinkedIn & default AI training on your data

08:50 – AI listening devices & privacy concerns

11:00 – Meeting transcripts, confidentiality & inappropriate recording

14:45 – Celebrity privacy, consent, and the “ask before you film” principle

19:20 – Do you really need AI? Machine learning vs actual intelligence

21:00 – Garbage-in, garbage-out models and data poisoning

24:00 – Business risk when you don’t understand the tool you’re using

26:00 – AI customer service gone wrong

28:00 – What to look for in AI contracts: training rights, data deletion, shared models

31:00 – Web grounding, enterprise use, and user revolt

37:00 – IP concerns, AI art, music models & stolen datasets

43:00 – Vendor management & why your supplier’s AI becomes your risk

49:00 – Consumers, opt-in vs opt-out defaults & unfair advantages

55:00 – Insurance, data scanning & the terrifying future of personalized underwriting

1:02:00 – Why businesses must ask vendors how they use AI

1:10:00 – Free book giveaway & closing thoughts