Attacking Large Language Models — Security Training for AI-Using Business Owners

Protect your business from AI security vulnerabilities before hackers exploit them against your customers and data.

What It Does for Your Business

This comprehensive security guide teaches you how large language models (LLMs) like ChatGPT can be attacked, manipulated, and exploited—so you understand the real risks before deploying AI tools in your business. Whether you're using AI for customer service, content creation, or data analysis, understanding these vulnerabilities helps you implement safeguards that protect your company, your clients, and your reputation.

Written by security researcher Marcello Carboni, this resource covers current attack techniques that hackers are already using. Small business owners who read this gain a competitive advantage: you'll make smarter decisions about which AI tools to trust, how to use them safely, and what security measures to put in place. This is essential reading if you're evaluating AI adoption or already using these tools with sensitive business information.

Key Features

• Attack Technique Breakdown — Learn exactly how LLMs can be tricked, manipulated, and exploited so you recognize these risks in your own operations
• Real-World Vulnerability Examples — Understand actual attack scenarios that apply to small business use cases, from customer data exposure to brand reputation damage
• Current Threat Landscape — Stay informed on the latest exploits and weaknesses actively being used by bad actors right now
• Risk Assessment Framework — Evaluate which AI tools and use cases pose the most danger to your specific business model and customer data
• Security Decision-Making Guide — Make informed choices about AI implementation, vendor selection, and internal safeguards based on actual security science
• Team Education Resource — Share insights with employees and contractors to build security awareness across your organization

Best For

E-commerce businesses handling customer payment data, professional service firms (law, accounting, consulting) with confidential client information, marketing agencies using AI for content creation, healthcare and financial services companies with compliance requirements, B2B SaaS companies evaluating AI features, and any small business owner considering AI adoption without understanding the security implications.

Pricing

Free — Available as an open-source security resource published on Medium

Business ROI

Reading this guide takes 30–45 minutes and could save your small business hundreds of thousands of dollars in potential data breaches, regulatory fines, and customer trust damage. One preventable AI-related security incident can cost a small business $150,000–$500,000 in remediation, legal fees, and lost revenue. By understanding attack vectors before deployment, you avoid costly mistakes like accidentally exposing customer data through prompt injection attacks or using untrusted AI vendors. This knowledge also positions your business as security-conscious when pitching to enterprise clients, potentially opening $10,000–$50,000+ in new contract opportunities.