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OWASP Top 10 for LLM

AI & LLM Security
Training

Attackers already use AI to craft phishing emails, clone voices, and hijack LLM assistants. These exercises teach your team to spot the difference.

As organizations adopt AI tools for daily workflows, attackers are weaponizing the same technology. These exercises teach employees to recognize when AI output has been manipulated, when a voice call is synthetic, and when a convincing email was generated by a model.

What Is AI Security Training?

AI security training prepares employees to recognize and respond to threats that exploit artificial intelligence and large language models. As organizations integrate AI assistants into document analysis, code review, customer support, and decision-making workflows, attackers target these same tools to steal data, manipulate outputs, and bypass security controls.

The OWASP Top 10 for Large Language Model Applications ranks prompt injection as the number one vulnerability in LLM-based systems. AI security training covers four core threat categories: prompt injection attacks that hijack AI assistants into leaking data or performing unauthorized actions, deepfake voice and video used for executive impersonation and wire fraud, AI-generated phishing emails that evade traditional detection filters, and chatbot manipulation techniques that extract confidential information from enterprise AI systems.

These exercises use interactive simulations where employees practice identifying manipulated AI output in realistic workplace scenarios.

Frequently Asked Questions

Common questions about AI security threats and how training helps defend against them.

What is AI prompt injection?

AI prompt injection is an attack where malicious instructions are hidden inside documents, emails, or web pages that an AI assistant processes. When the AI reads the content, it follows the hidden instructions instead of the user's intent. This can cause the AI to leak sensitive data, ignore safety rules, or perform unauthorized actions without the user realizing the input was manipulated.

How can prompt injection lead to data exfiltration?

An attacker embeds instructions in a document telling the AI to include sensitive data in its output, encode it in URLs, or send it to external endpoints. Because the AI processes the document's full text, it may follow these instructions alongside legitimate content, sending confidential information to unintended recipients.

Why is AI security training important for employees?

As organizations integrate AI tools into daily workflows, employees interact with LLMs for document analysis, code review, customer support, and decision-making. Without proper training, staff cannot recognize when AI-generated output has been manipulated, when a deepfake voice call is impersonating a colleague, or when an AI-powered phishing email bypasses traditional detection methods. AI security training closes this gap before attackers exploit it.

What are the biggest AI-related security threats?

The most pressing threats include prompt injection attacks that hijack AI assistants, deepfake voice and video used for impersonation and fraud, AI-generated phishing emails that are nearly indistinguishable from legitimate messages, and chatbot manipulation that extracts sensitive data from enterprise AI systems. These threats are growing as AI adoption accelerates across industries.

Start Training Your Team on AI Threats

Start with free interactive exercises or request a demo to see how RansomLeak's AI security training fits your organization.