@bahraini800: ⁨ ‪@bah_meee‬‪@my_home_first80‬80 بعد اسبوع تتوفر👍 استعد لبرودة فائقة وانتعاش فوري في الأجواء الحارة مع تكنولوجيا التبريد المتقدمة التي توفرها مروحة دينكس. بفضل خزان المياه المدمج بسعة ١٠ لتر ، تضمن لك المروحة توزيعاً مستمراً للرذاذ المنعش الذي يخفض درجة حرارة الغرفة بفعالية عالية. اكتشف كيف تجمع هذه المروحة بين الأداء القوي والتصميم العملي لتجعل من أيام الصيف تجربة أكثر راحة وهدوءاً. المميزات الرئيسية: تبريد مزدوج: نظام متطور يجمع بين دفع الهواء القوي ورذاذ الماء لترطيب الأجواء. تحكم دقيق: إعدادات سرعة متعددة تتيح لك تخصيص تدفق الهواء حسب احتياجاتك. كفاءة استثنائية: تصميم هندسي يضمن استهلاكاً مثالياً للطاقة مع توفير أداء صامت ومستقر. السعر ٢٧ دينار 🇧🇭 / ٢٧٠ ريال طلب و الحجز واتس اب 009733370234⁩ #البحرين #denx #دينكس #السعودية

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AI AGENTS CAN BE HACKED. BUT HOW SECURE IS THE CHATBOT YOU TRUST? AI is changing cybersecurity, but it's also introducing a new generation of security vulnerabilities. From intelligent chatbots to autonomous AI agents, these systems can become targets for attackers when security controls are poorly implemented. Can an AI chatbot be manipulated into ignoring its instructions? Can an AI agent be tricked into performing actions it was never authorized to execute? That's where AI Penetration Testing comes in. In this video, we explore how cybersecurity professionals ethically assess AI agents and chatbots to identify security weaknesses before malicious attackers exploit them. Key security areas to understand: 1. Prompt Injection: Testing whether malicious instructions hidden in user inputs or external content can manipulate an AI system. 2. Jailbreak Resistance: Evaluating how effectively an AI model maintains its intended safety and security boundaries. 3. Sensitive Information Disclosure: Checking whether chatbots accidentally expose confidential data, internal instructions, or sensitive information. 4. Excessive Agency: Assessing whether AI agents have unnecessary permissions or can perform actions beyond their intended authority. 5. Insecure Tool Integration: Identifying weaknesses in how AI agents interact with APIs, databases, external tools, and other systems. 6. AI Security Testing: Using structured methodologies such as the OWASP Top 10 for LLM Applications to assess risks and recommend stronger defenses. The goal isn't just to make an AI system behave unexpectedly. It's to understand the security risks, validate vulnerabilities responsibly, and help developers build safer AI applications. As AI adoption continues to grow, understanding AI security is becoming an increasingly valuable cybersecurity skill. The next generation of cybersecurity isn't just about securing networks and servers. It's also about securing the intelligence connected to them. Watch, learn, and explore the future of ethical hacking. Always conduct security testing on systems you own or have explicit permission to assess. Full video in YouTube channel: https://youtu.be/_yfiUQSbdPY?si=qZe4NhuVirdE0gSi #AISecurity #EthicalHacking #CyberSecurity #AIPenetrationTesting
AI AGENTS CAN BE HACKED. BUT HOW SECURE IS THE CHATBOT YOU TRUST? AI is changing cybersecurity, but it's also introducing a new generation of security vulnerabilities. From intelligent chatbots to autonomous AI agents, these systems can become targets for attackers when security controls are poorly implemented. Can an AI chatbot be manipulated into ignoring its instructions? Can an AI agent be tricked into performing actions it was never authorized to execute? That's where AI Penetration Testing comes in. In this video, we explore how cybersecurity professionals ethically assess AI agents and chatbots to identify security weaknesses before malicious attackers exploit them. Key security areas to understand: 1. Prompt Injection: Testing whether malicious instructions hidden in user inputs or external content can manipulate an AI system. 2. Jailbreak Resistance: Evaluating how effectively an AI model maintains its intended safety and security boundaries. 3. Sensitive Information Disclosure: Checking whether chatbots accidentally expose confidential data, internal instructions, or sensitive information. 4. Excessive Agency: Assessing whether AI agents have unnecessary permissions or can perform actions beyond their intended authority. 5. Insecure Tool Integration: Identifying weaknesses in how AI agents interact with APIs, databases, external tools, and other systems. 6. AI Security Testing: Using structured methodologies such as the OWASP Top 10 for LLM Applications to assess risks and recommend stronger defenses. The goal isn't just to make an AI system behave unexpectedly. It's to understand the security risks, validate vulnerabilities responsibly, and help developers build safer AI applications. As AI adoption continues to grow, understanding AI security is becoming an increasingly valuable cybersecurity skill. The next generation of cybersecurity isn't just about securing networks and servers. It's also about securing the intelligence connected to them. Watch, learn, and explore the future of ethical hacking. Always conduct security testing on systems you own or have explicit permission to assess. Full video in YouTube channel: https://youtu.be/_yfiUQSbdPY?si=qZe4NhuVirdE0gSi #AISecurity #EthicalHacking #CyberSecurity #AIPenetrationTesting

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