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Thursday 15 October 2026 14:09:37 GMT
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🤖 HACKING AI IS TOO EASY… BUT CAN YOU REALLY HACK AI? AI security is becoming a serious cybersecurity challenge. In this video, NetworkChuck and AI security expert Jason Haddix explore how attackers can target AI-powered applications—not just by jailbreaking a chatbot, but by manipulating AI systems, abusing connected tools, and potentially exposing sensitive data. 🔎 WHAT WE LEARN: • AI Pentesting & Red Teaming • Prompt Injection • Jailbreak Techniques • Emoji & Link Smuggling • AI Agent Security • MCP Security Risks • Tool/API Permission Abuse • Sensitive Data Exposure • AI System Prompt Risks 🛡️ HOW TO DEFEND AI SYSTEMS: ✅ Validate inputs and outputs ✅ Use strong security controls around AI ✅ Apply least-privilege access ✅ Limit API and tool permissions ✅ Protect sensitive information ✅ Monitor AI agents and connected tools ✅ Test AI applications in authorized environments The biggest lesson: AI security isn't just about protecting the model. You also have to secure the web application, data, APIs, tools, and permissions surrounding it. ⚠️ ETHICAL HACKING DISCLAIMER: Only test AI systems you own or have explicit permission to assess. Use controlled labs, CTFs, and dummy data for cybersecurity education. 🎥 Watch the full video and learn how AI security testing works. What would you secure first in an AI application: the model, the data, or the tools? 👇 #Hackwithbanks #Cybersecurity #EthicalHacking #AIHacking #AISecurity
🤖 HACKING AI IS TOO EASY… BUT CAN YOU REALLY HACK AI? AI security is becoming a serious cybersecurity challenge. In this video, NetworkChuck and AI security expert Jason Haddix explore how attackers can target AI-powered applications—not just by jailbreaking a chatbot, but by manipulating AI systems, abusing connected tools, and potentially exposing sensitive data. 🔎 WHAT WE LEARN: • AI Pentesting & Red Teaming • Prompt Injection • Jailbreak Techniques • Emoji & Link Smuggling • AI Agent Security • MCP Security Risks • Tool/API Permission Abuse • Sensitive Data Exposure • AI System Prompt Risks 🛡️ HOW TO DEFEND AI SYSTEMS: ✅ Validate inputs and outputs ✅ Use strong security controls around AI ✅ Apply least-privilege access ✅ Limit API and tool permissions ✅ Protect sensitive information ✅ Monitor AI agents and connected tools ✅ Test AI applications in authorized environments The biggest lesson: AI security isn't just about protecting the model. You also have to secure the web application, data, APIs, tools, and permissions surrounding it. ⚠️ ETHICAL HACKING DISCLAIMER: Only test AI systems you own or have explicit permission to assess. Use controlled labs, CTFs, and dummy data for cybersecurity education. 🎥 Watch the full video and learn how AI security testing works. What would you secure first in an AI application: the model, the data, or the tools? 👇 #Hackwithbanks #Cybersecurity #EthicalHacking #AIHacking #AISecurity

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