The Emerging Attacks on Large Language Models (LLMs) — AI Security Awareness for Small Business Owners

Stop exposing your business to AI security threats you don't even know exist—learn the attack vectors hackers use to compromise LLM tools your team relies on every day.

What It Does for Your Business

This educational resource breaks down the real security vulnerabilities in large language models that your small business is actually using right now. Whether you've deployed ChatGPT, Claude, or other AI tools into your operations, you're potentially exposed to prompt injection attacks, data poisoning, model extraction, and other emerging threats. This guide walks you through each attack vector in plain English—no computer science degree required—so you understand exactly how bad actors could manipulate or compromise the AI systems you've integrated into customer service, content creation, financial analysis, or data processing.

By understanding these attack patterns, you can make smarter decisions about which AI tools to use, how to implement them safely, and what safeguards to put in place before a breach costs you customer data, reputation damage, or operational downtime. Most small business owners assume their AI vendor handles security. This resource shows you why that's not enough and what questions to ask.

Key Features

• Attack Vector Breakdown — Learn specific methods (prompt injection, adversarial inputs, model poisoning) that could compromise your business's AI tools
• Real-World Business Impact — See concrete examples of how these attacks translate to actual risks: customer data leaks, financial miscalculations, brand damage
• Practical Defense Strategies — Actionable steps to reduce risk, from input validation to employee training to vendor selection criteria
• Industry-Specific Scenarios — Understand which attack vectors matter most for e-commerce, agencies, professional services, and retail businesses
• Implementation Checklist — Use this to audit your current AI deployments and identify gaps before they become incidents
• Vendor Evaluation Framework — Know what security questions to ask before signing up for any new AI tool

Best For

Small business owners, operations managers, and IT decision-makers at e-commerce stores, marketing agencies, law firms, accounting practices, customer service teams, and any company using AI tools for business-critical functions. Also valuable for consultants and fractional CTOs advising small businesses on technology strategy.

Pricing

Free — available as a LinkedIn article and downloadable resource.

Business ROI

Preventing a single data breach or AI-based security incident typically costs small businesses $50,000–$300,000 in recovery, legal, and reputational damage. By understanding these attack vectors upfront, you can implement low-cost defensive measures (input filtering, employee training, vendor audits) that cost under $5,000 but protect against losses orders of magnitude larger. Most small business owners currently have zero AI security strategy. Spending two hours on this resource and implementing a basic security checklist could save your business hundreds of thousands in avoided incidents while improving confidence in the AI tools that are already driving operational efficiency and competitive advantage.