I Tried to Hack an AI agent for $300,000 (Here's HOW You can DO the SAME!)

AI hijacking is the new frontier for cybercriminals. See how to exploit LLMs in a $300,000 competition to force unintended actions. Major tech companies like Anthropic, OpenAI, Google DeepMind, and Meta are currently backing a competition aimed at testing the limits of their systems. This breakdown explains how participants use prompt injection to bypass safety filters. You do not need to be a security professional to understand the mechanics behind these vulnerabilities, even if you have just experimented with getting an AI to answer restricted questions. Disclaimer : This video is sponsored by Gray Swan. It is for educational purposes only: every attack in the challenge runs inside sandboxes built for it, so use what you learn responsibly and only on systems you own or have permission to test. Join Indirect Prompt Injection: Black (free): https://app.grayswan.ai/arena/challenge/ipi-black-2026?utm_campaign=ipi-black&utm_source=electronictechshow (The same link is in the pinned comment.) Comment "telegram" below and I will send you the group link. CHAPTERS 0:00 - Hijacking an AI agent without sending it a message 1:33 - What indirect prompt injection is (OWASP LLM01) 2:50 - Inside the $300K Indirect Prompt Injection Black challenge 4:08 - 1.8 million attacks: indirect beats direct prompt injection 5:09 - What 272,000 attacks on 13 frontier models showed 6:07 - The garage door test: ipi-arena-bench in the terminal 7:06 - How to stop it: lethal trifecta and the Agents Rule of Two 8:14 - How to join the $300K AI red teaming challenge 9:05 - Check your own AI agent Challenge rules from Gray Swan, so nobody gets disqualified: one account per person; every attack is submitted by hand (using AI to help write is fine, but some AI providers have their own rules about jailbreak work); no sharing working attacks anywhere until 30 days after the competition ends; only the challenge targets are in scope. The terminal shows ipi-arena-bench run for real; no working attack text appears anywhere in this video. SOURCES Gray Swan Arena Indirect Prompt Injection: Black challenge (launched 15 Oct 2026): https://app.grayswan.ai/arena/challenge/ipi-black-2026 Join the challenge: https://app.grayswan.ai/arena UK AISI x Gray Swan Agent Red-Teaming Challenge: Results Snapshot, 9 May 2025: https://www.grayswan.ai/news/uk-aisi-x-gray-swan-agent-red-teaming-challenge-results-snapshot Your AI Agent Can Be Compromised. You'd Never Know. (Gray Swan), 18 Mar 2026: https://www.grayswan.ai/blog/your-ai-agent-can-be-compromised-youd-never-know Research Zou et al., Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition, 28 Jul 2025: https://arxiv.org/abs/2507.20526 Dziemian et al., How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition, 16 Mar 2026: https://arxiv.org/abs/2603.15714 NIST CAISI, Insights into AI Agent Security from a Large-Scale Red-Teaming Competition, 23 Mar 2026: https://www.nist.gov/blogs/caisi-research-blog/insights-ai-agent-security-large-scale-red-teaming-competition Greshake et al., Not what you've signed up for (indirect prompt injection), 23 Feb 2023: https://arxiv.org/abs/2302.12173 Defences OWASP Top 10 for LLM Applications, LLM01:2025 Prompt Injection (2025 edition, Nov 2024): https://genai.owasp.org/llmrisk/llm01-prompt-injection/ Simon Willison, The lethal trifecta for AI agents, 16 Jun 2025: https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/ Meta, Agents Rule of Two: A Practical Approach to AI Agent Security, 31 Oct 2025: https://ai.meta.com/blog/practical-ai-agent-security/ Tool shown ipi-arena-bench 0.1.0, the open competition environment (MIT, Mar 2026): https://github.com/GraySwanAI/ipi_arena_os We explore the real-world risks associated with AI security, including potential data exfiltration and the dangers of exposing models to untrusted content. By analyzing the techniques used in this $300k challenge, you will gain a clearer picture of how these agents are compromised and what the future of cybersecurity defense looks like. Subscribe for weekly cybersecurity and open source project breakdowns. What other AI vulnerabilities should I test next? #top #new #trending #viral #2026 #promptinjection #aisecurity #cybersecurity