Why Most AI Automations Are a Legal Nightmare скачать в хорошем качестве

Why Most AI Automations Are a Legal Nightmare

5 ways your AI automations can destroy your business: data leaks, liability lawsuits, GDPR violations, governance failures, and security breaches. AI consulting and automation businesses face legal risks most freelancers ignore. This covers how AI workflows expose you to lawsuits from client data processing, hallucinated outputs, compliance violations, and prompt injection attacks. TIMESTAMPS: 00:00 - Intro: Why AI Strategy Without Risk = Liability 01:16 - Data Risk: You're Now a Data Processor 02:14 - Real Story: API Key Leak Lawsuit 03:31 - How to Fix Data Risk (Mapping, Containment, Auto-Purge) 05:17 - Output Liability: The "AI Said What?" Problem 06:31 - Guardrails: Human-in-Loop, Templates, Evals 08:26 - Compliance: GDPR, CCPA, and the Right to Be Forgotten 09:21 - Real Story: Automated Outreach Gone Wrong 10:32 - Real Story: GDPR Compliance Parasites 10:57 - Fixing Compliance: Centralized Data, Consent, Kill Switch 12:59 - Governance: The Master Key Problem 13:07 - Access Control & Version Control 15:08 - Security: Prompt Injection Attacks Explained 15:56 - Security Fixes: Secrets Management, Input Sanitation, Rate Limiting 17:07 - Using AI to Pen Test Your Own Systems 18:19 - The 4 Non-Negotiables Summary -- Work with me: 🤝 Ready to transform your business? Let's talk: https://bit.ly/3TinLo5 🚀 Join the community → https://bit.ly/4okIaaa 💡 Add me on LinkedIn -   / mansel-scheffel   [ABOUT ME] If you're new here — I’m Mansel. In 2011, I left South Africa with nothing but a laptop and a digital piano. I taught myself IT, broke into cybersecurity in London, and built two consulting businesses — one in cyber, one in cloud — scaling solo to $52K+/month. Today, I run atomicOps, an AI consultancy based in New York where we help mid-market companies turn AI chaos into scalable systems as a transformation partner. I also help AI Automation Experts escape underpaid gigwork and build $25K+/month businesses using the same frameworks I used to scale mine.