1. A global cybersecurity company, founded in 2001, that develops and delivers a wide range of security products and services to protect consumers and businesses from cyber threats.

1. Is a synthetic media where a person in an existing image, audio, or video is replaced with someone else’s likeness or made to say or do something they didn’t.

1. A computer program designed to simulate a conversation with a human user through text or voice commands.

1. Is a malicious, unregulated artificial intelligence (AI) tool designed to assist cyber criminals with illegal activities.

1. Cybersecurity professionals who ethically hack systems with the owner’s permission to find and report security vulnerabilities, thereby helping organizations to strengthen their defenses against malicious hackers.

1. They may find vulnerabilities in a system without the owner’s permission or knowledge , which is illegal. However their intention isn't malicious; they often notify the organization about the flaw and may even offer to fix it for a fee.

1.  Is a set of rules that lets different software programs talk to each other and share data or functionality.

1. They are highly skilled and have good intentions, but they use aggressive, often illegal, tactics to stop black hat hackers

1.  is an experienced newcomer to the world of hacking who is motivated by a desire to learn and develop their skills.

1. These hackers are essentially ethical hackers who work for a company to find and fix vulnerabilities.

Is when people deliberately test an AI system to find weakness, vulnerabilities, or ways it can be tricked-similar to ethical “hacking” but for AI

1. Is when attackers trick an AI by feeding it hidden or malicious instructions.

1.  Is when attackers hide a dangerous link inside something that looks safe-like a button, image, or redirect-so people (and security tools) are tricked into clicking it.

1.  Is a trick attackers use to hide malicious links or text inside emojis so they look harmless.

1.  An attacker intentionally injects corrupted or misleading data into an AI model’s training dataset

1. Involves embedding a hidden trigger within an AI model during its training phase.

 Type of attack where a hacker queries a deployed AI model repeatedly and uses the outputs to create a new, duplicate model that mimics the original.

A type of artificial intelligence (AI) that is designed to understand, generate, and process human language.

1. Type of machine learning where an AI agent learns to make decisions by trial and error in an environment.