تعزيز الأمن السيبراني باستخدام الذكاء الاصطناعي

[Virtual Presenter] AI has become a crucial component in bolstering cyber security, particularly for government entities. This comprehensive training program aims to provide an overview of the top 15 AI tools and apps designed specifically for government entities, highlighting their functionality, benefits, and applications. By exploring these innovative solutions, we can gain valuable insights into how they can effectively safeguard our digital assets..

[Audio] The increasing reliance on digital technologies has created new challenges for government entities to ensure the security of their information and data. The use of artificial intelligence can significantly bolster cyber security by identifying potential threats and vulnerabilities. With the right tools and apps, government entities can stay ahead of cyber-attacks and protect sensitive information..

[Audio] As a professor of media and artificial intelligence, I have dedicated my career to understanding the intersection of technology and humanity. My work has focused on the development of artificial intelligence journalism, a field that combines traditional journalistic practices with cutting-edge AI technologies. This fusion enables us to create more efficient, accurate, and engaging content, ultimately transforming the way we consume and interact with information..

[Audio] As a pioneer in the field of Artificial Intelligence Journalism, I have developed the first AI Journalism Communication Model, exploring the role of AI technologies in media communication. This model has shaped my understanding of the impact of AI on journalism and its potential applications. With over 90 research papers and 15 books published, I have coined new concepts in media and AI, such as Artificial Intelligence Journalism, 7G Journalism, and others. I design and implement AI-powered solutions for media content creation, including robotic marketing, newsrooms, video production, and podcasting. As a journalist and former editor-in-chief, I understand the importance of AI in enhancing cyber security and mitigating risks in the media industry..

[Audio] أنا محمد عبدالظاهر، استاذ الإعلام والذكاء الاصطناعي والرئيس التنفيذي لـAIJRF. أنا رائد ومبتكر في مجال صحافة الذكاء الاصطناعي وإعلام الميتافيرس ودراسات الإعلام في ظل الثورة الصناعية الرابعة والخامسة، وأقوم بذلك من خلال الأبحاث العلمية والمبادرات العملية. أنا أيضا الرئيس التنفيذي لـAIJRF في الإمارات، وهي المؤسسة الرائدة في دراسات الإعلام والذكاء الاصطناعي وإعلام الميتافيرس. كما أنا رئيس المنتدى العالمي لصحافة الذكاء الاصطناعي (AIJWF)، المنتدى الذي يشكل أول مؤتمر عالمي في دراسة واستشراف مستقبل الإعلام والتكنولوجيا في عام 2050. ويضم المنتدى العديد من العلماء والباحثين من 20 دولة حول العالم لمناقشة وتبادل الأفكار والابتكارات في هذا المجال المهم. كما أنني كبير مستشارين "إعلامي" لمجموعة بورصة لندن العالمية ومستشار إعلامي سابق في الأمم المتحدة، ولدي خبرة واسعة في تدريب وتصميم تقنيات الذكاء الاصطناعي في صناعة المحتوى الإعلامي، وتطبيقات أخرى مهمة مثل كشف المحتوى الزائف وإعلام الميتافيرس. شكراً لاهتمامكم..

[Audio] أهلا بكم في هذه الدورة التدريبية حول تعزيز الأمن السيبراني باستخدام التقنيات الذكية. أنا الدكتور محمد عبدالزهر، الرئيس التنفيذي للمؤشر العالمي لصحافة الذكاء الاصطناعي GAIJI. أنا مؤسس والمشرف العام على المؤشر العربي للذكاء الاصطناعي في الجامعات AIU ورئيس تحرير المجلة العلمية الأولى حول صحافة الذكاء الاصطناعي AIJJ. كما أنني عضو في المجلس الاستشاري لعدد من كليات وأقسام الإعلام في دولة الإمارات العربية المتحدة. لدي أكثر من 90 بحثًا ودراسة، و18 كتابا في مجال الإعلام والذكاء الاصطناعي وإعلام الميتافيرس. أتمنى لكم دورة تدريبية ناجحة..

[Audio] The main topics of our training program include threat detection, incident response, security orchestration, vulnerability assessment, penetration testing, and cybersecurity awareness. These topics are crucial in bolstering cyber security with AI, especially for government entities. We will explore the latest AI tools and apps available to enhance their cyber security posture..

[Audio] نحن الآن في الشريحة رقم 8 من اجمالي 25 شريحة في هذا العرض التدريبي لتعزيز الأمن السيبراني باستخدام الذكاء الاصطناعي. هذه الشريحة ستتحدث عن أساسيات وقواعد الأمن السيبراني الفعال للمؤسسات والقيادات الحكومية وأهمية استخدام أدوات وحلول الذكاء الاصطناعي في ضمان أمن المعلومات والبيانات الحكومية. ثم سنتعرف على ثلاثة تطبيقات عملية للذكاء الاصطناعي في كشف المحتوى الزائف والحفاظ على أمن المعلومات والبيانات. دعونا ننتقل إلى الشريحة التالية..

[Audio] Effective cybersecurity necessitates a solid foundation and set of rules. This encompasses implementing robust security protocols, conducting regular risk assessments, and remaining current with the latest threats and vulnerabilities. Government leaders and entities must prioritize cybersecurity to safeguard sensitive information and data from unauthorized access, use, disclosure, modification, or destruction..

[Audio] Effective cybersecurity requires a solid foundation and set of rules that govern its implementation. Clear policies and procedures must be established, regular risk assessments conducted, and robust security measures implemented. As government entities, prioritizing cybersecurity is crucial to protect sensitive information and maintain public trust. By adhering to these foundations and rules, the integrity and confidentiality of our data can be ensured, and potential breaches and attacks prevented..

[Audio] The foundations and rules of effective cybersecurity for government institutions and leadership require a comprehensive approach that integrates cutting-edge technology with robust governance. This includes leveraging AI tools and apps to detect and prevent cyber threats, while also ensuring the confidentiality, integrity, and availability of sensitive information and data..

[Audio] AI benefits cybersecurity by providing real-time threat detection, improving incident response times, and enhancing overall security posture. With its ability to analyze vast amounts of data quickly and accurately, AI can identify patterns and anomalies that may indicate potential threats. This enables governments to take proactive measures to prevent cyber-attacks and protect sensitive information. Furthermore, AI-powered systems can automate routine tasks, freeing up human analysts to focus on more complex and high-priority tasks. Additionally, AI-driven insights can help governments develop targeted strategies to mitigate risks and improve their overall cybersecurity posture. By leveraging AI, governments can stay ahead of emerging threats and maintain the trust of citizens in their digital infrastructure..

[Audio] Artificial intelligence can significantly enhance cyber security by combating malicious bots. These advanced algorithms can identify and block suspicious activity, preventing hackers from gaining unauthorized access to sensitive information. Additionally, AI-powered systems can accelerate detection and response times, allowing organizations to quickly contain and mitigate threats. Furthermore, AI can help deal with the Big Data challenge by analyzing vast amounts of data in real-time, identifying patterns and anomalies that may indicate potential security breaches. By leveraging these capabilities, government entities can strengthen their defenses and protect against ever-evolving cyber threats..

[Audio] Handling large datasets enables us to analyze and process massive amounts of information efficiently. Combating malicious robots prevents unauthorized access and ensures the integrity of our systems. Speeding up detection and response times allows us to react promptly to emerging threats and minimize damage..

[Audio] Artificial intelligence can significantly enhance cybersecurity measures, particularly in government entities where sensitive information is often stored. High-quality training data is necessary, but AI decision-making may be biased. Malicious actors could compromise AI systems. Despite these challenges, AI can help detect and respond to cyber threats, protect networks and systems, and ensure data confidentiality, integrity, and availability..

[Audio] في هذا الشريحة، سنتناول موضوع "تعزيز أمن الإنترنت مع الذكاء الاصطناعي: ١٥ أداة وتطبيق على أعلى مستوى للكيانات الحكومية" للدكتور محمد عبد الزهر الرئيس التنفيذي لمعهد الذكاء الاصطناعي للأبحاث والتدريب. الشريحة ١٦ من ٢٥. سنتناول الآن بعض القضايا المتعلقة باستخدام الذكاء الاصطناعي في أمن الإنترنت. أولاً، يواجه الذكاء الاصطناعي صعوبات في التعامل مع تهديدات الأمن دون وجود حكم بشري. فعلى الرغم من قدرة الذكاء الاصطناعي على تحليل البيانات واكتشاف التهديدات، إلا أنه لا يستطيع استبدال الحكم البشري في اتخاذ الإجراءات اللازمة لمواجهة هذه التهديدات. ثانياً، تواجه التقنية الأخلاقية تحديات كثيرة في مجال أمن الإنترنت. فقد يثير استخدام الذكاء الاصطناعي في أنظمة مراقبة الشبكات تساؤلات حول الخصوصية والتمييز العنصري وغيرها. ثالثاً، يجد الذكاء الاصطناعي صعوبة في مواكبة جميع التهديدات بشكل فعال. فبالرغم من سرعته في الاستجابة، قد يتأخر في اكتشاف بعض التهديدات الجديدة أو الغير متوقعة. رابعاً، قد تتعرض الأنظمة القائمة على الذكاء الاصطناعي للإيجابيات الكاذبة، مما يتسبب في عجزها عن التعامل بشكل صحيح مع التهديدات الحقيقية. أخيراً، تتطلب تقنية الذكاء الاصطناعي تكلفة عالية، من خلال الحاجة إلى أجهزة خاصة وبرامج وخبراء محترفين وتدريبات. وقد يكون ذلك عائقاً أمام تبني هذه التقنية في بعض البيئات المالية. نلتقي في الشريحة التالية..

[Audio] Hackers have been exploiting AI technology to further their malicious goals. They use AI-powered tools to launch sophisticated attacks, steal sensitive information, and disrupt critical infrastructure. AI's ability to analyze vast amounts of data quickly and accurately makes it an attractive tool for hackers. They can use AI to identify vulnerabilities, predict potential targets, and even create convincing fake content. This has led to a rise in AI-powered phishing scams, where attackers use AI-generated emails and messages to trick victims into revealing sensitive information. Furthermore, AI-powered bots can be used to launch DDoS attacks, overwhelming websites and networks with traffic. The misuse of AI by hackers highlights the importance of implementing robust cybersecurity measures to protect against these threats..

[Audio] Social engineering schemes involve manipulating individuals into divulging sensitive information or performing certain actions. These tactics include phishing, pretexting, and baiting, which hackers may use to gain access to systems, steal data, or disrupt operations. Password hacking refers to the unauthorized attempt to obtain or guess passwords, which can be done through various methods, including brute-force attacks, dictionary attacks, and social engineering. Deepfakes are a type of artificial intelligence-generated media that can be used to create realistic but fake videos or audio recordings, potentially spreading disinformation, manipulating public opinion, or impersonating individuals. Data poisoning involves intentionally corrupting or tampering with data to compromise its integrity, often achieved by injecting malicious data into a system or altering existing data to make it unusable. Data collection refers to the gathering of personal or sensitive information about individuals or organizations, accomplished through online tracking, surveillance, or data breaches. It is crucial for government entities to recognize these threats and employ AI-powered tools to detect and prevent them, thereby strengthening their cybersecurity and maintaining citizen trust..

[Audio] AI in threat detection involves understanding fundamental principles of artificial intelligence and its application in identifying potential cyber threats. This includes developing a comprehensive understanding of machine learning algorithms, natural language processing, and deep learning techniques. Recognizing the importance of data quality, feature selection, and model evaluation ensures the accuracy and reliability of AI-based threat detection systems. Professionals can effectively leverage AI tools and apps by grasping these core concepts, thereby bolstering their organization's cybersecurity posture..

[Audio] تستطيع خوارزميات التعلم الآلي أن تساعد بكشف التهديدات الجديدة والمعقدة بسرعة، حيث تحلل البيانات من الحوادث السابقة وتكشف عن الأنماط والتنبؤ بالتهديدات المحتملة، مما يساعد في تحسين دقة وسرعة الكشف. لاستخدام خوارزميات التعلم الآلي في معالجة البيانات والكشف عن التهديدات، يجب جمع كميات كبيرة من البيانات وتنظيفها وتحليلها، وذلك لتحديد التهديدات المحتملة ومعالجة البيانات بشكل فعال..

[Audio] Developing a threat detection AI model is a complex, iterative process that requires expertise in threats and machine learning. The model's effectiveness heavily depends on the quality of the data and the continuous adaptation to new and evolving threats. To develop such a model, we first define the problem by deciding what kind of threats the AI should detect. Then, we collect and prepare data related to these threats, cleaning it for use. Next, we select features, choosing essential parts of the data the AI will focus on. We choose an AI model, selecting the right algorithm for our problem. After that, we train the model using our data to teach the AI to detect threats. Once trained, we test and improve the model, evaluating its performance and adjusting it to improve it. Finally, we implement and update the model, putting it into use and keeping it updated with new data to stay effective..

[Audio] Developing a threat detection AI model is a complex, iterative process that requires expertise in threats and machine learning. The model's effectiveness heavily depends on the quality of the data and the continuous adaptation to new and evolving threats. We define the problem by deciding what kind of threats the AI should detect. Then, we collect and prepare relevant data, selecting the most important features that the AI will focus on. Next, we choose the appropriate AI algorithm based on our specific problem. We train the model using our prepared data, testing its performance and adjusting it to improve its accuracy. Finally, we implement the model and continuously update it with new data to ensure its effectiveness..

[Audio] Developing a threat detection AI model is a complex, iterative process that requires expertise in threats and machine learning. The model's effectiveness heavily depends on the quality of the data and the continuous adaptation to new and evolving threats. We define the problem by deciding what kind of threats the AI should detect. Then we collect and prepare data related to these threats, selecting features that are essential for the AI to focus on. Next, we choose an AI model that suits our problem, train it using our data, test its performance, and continuously improve it. Finally, we implement and update the AI model to ensure its effectiveness in detecting threats. This process is crucial in bolstering cyber security with AI, especially for government entities..

[Audio] AI-powered tools can help detect and prevent potential threats, reducing the risk of data breaches and system compromise. Integrating AI-driven solutions into existing security protocols can enhance the ability to identify and respond to emerging threats. AI-driven solutions include network traffic analysis, endpoint protection, and threat hunting. Embracing AI-powered cybersecurity ensures the integrity and confidentiality of sensitive information, protects critical infrastructure, and maintains public trust..

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