Stalkerware is hidden software that is installed on personal devices without the user's knowledge and follows their digital traces. These software are used for harmful purposes stemming from insecurity and the need for control, especially in personal relationships. What is it and How Does It Work? 🧐 Stalkerware is often installed on a person's phone or computer without their knowledge and is used to monitor messages, call logs, photos, and even live location information. These software violate the privacy of victims and pose serious security risks. Installation Process: Physical access to the target device is provided. Software is typically downloaded and installed via a link. Once the installation is complete, the software hides itself and starts running in the background. The tracker can monitor the victim's activities from another device. Global Statistics 🌐 In order to draw attention to this issue, Kaspersky, one of the leading cyber security companies, has published a new annual report called The State of Stalkerware, which aims to better understand the number of people affected by digital tracking globally. The report's data revealed that 31,031 unique people worldwide were affected by tracking software in 2023, and this number increased by 5.8% compared to 2022. The figures confirm that the downward trend in 2021 has reversed and digital harassment remains a global problem. Türkiye RANKS 5TH! According to Kaspersky Security Network, in 2023, Russia, Brazil and India were the top three countries most affected by this type of software in terms of the number of users. Iran, which was in the top five the previous year, is still in the top five. Compared to 2021, the top 10 countries affected by this issue have changed little. While Germany dropped from 7th to 10th place, Saudi Arabia, which ranked 8th in 2022, is not among the most affected countries this year. Türkiye was on the list as the 5th most affected country. Which Countries Have More? 🗺️ Stalkerware use is a global problem, but is particularly prevalent in countries where privacy laws are weak or regulations against digital tracking are lacking. What Could Be the Consequences? 😰 The consequences of Stalkerware can be devastating: Violation of Privacy: Unauthorized intrusion into the private lives of victims. Security Risks: Theft of financial information and other sensitive data. Emotional Harm: Distrust, fear, and trauma in victims. How can we prevent it? 🛡️ Ways to protect against Stalkerware: Strong Passwords: Protect your devices with strong passwords. Security Software: Use reliable security software. Physical Security: Be careful who can access your devices. Awareness raising: Raise awareness about Stalkerware. In this article, I tried to explain what Stalkerware is, how it works, in which countries it is found more, its possible consequences and how we can prevent it. I hope this information is useful and helps you be careful of this threat. Stay safe! 🛡️🔐

The Role of Artificial Intelligence in Cyber ​​Security is Increasing. Cyber ​​security is one of the biggest threats facing both individuals and institutions today. Cyber ​​attacks are becoming more complex, widespread and harmful every day. Traditional methods are inadequate to prevent, detect and intervene in these attacks, and therefore, it is becoming increasingly important to use artificial intelligence (AI) technologies in the field of cyber security. Artificial intelligence offers many advantages in cybersecurity. By quickly and accurately analyzing large amounts of data, AI can identify potential vulnerabilities, anomalies, and attacks. AI can also create customized and proactive security protocols and responses to attacks. Artificial intelligence can increase the efficiency, effectiveness and competence of cybersecurity teams and support key processes in cybersecurity such as protection, detection, response and remediation. Microsoft Security Copilot: Artificial Intelligence Supported Cyber ​​Security Solution Microsoft has begun to play a leading role in the use of artificial intelligence in cybersecurity. Microsoft took an important step by collaborating with OpenAI and developing a new artificial intelligence-supported cyber security solution called Security Copilot. Security Copilot is a system that allows cyber security teams to quickly and effectively defend against cyber threats by asking questions in natural language and receiving actionable answers. Security Copilot aims to provide customized guidance and recommendations to organizations by working integrated with Microsoft's security products. It seems that it will be an important structure in strengthening the cyber security posture by using data and signals from tools such as Security Copilot, Microsoft Sentinel, Microsoft Defender, Microsoft Intune, Microsoft Entra, Microsoft Purview. Security Copilot will also provide a more effective system target by taking advantage of dynamic threat intelligence services such as Microsoft Defender Threat Intelligence. Security Copilot provides step-by-step instructions to cybersecurity teams through processes such as identifying, scaling, investigating and remediating cyber attacks. Security Copilot also helps cybersecurity teams improve their skills and address the shortage of qualified personnel. Security Copilot was designed and developed in accordance with the principles of responsible artificial intelligence. Artificial Intelligence Supported Cyber ​​Attacks: A New Threat While artificial intelligence provides many benefits in cyber security, it also poses a new threat. Cyber ​​criminals use artificial intelligence tools to develop, hide and spread their cyber attacks. Artificial intelligence offers cybercriminals the opportunity to make faster, smarter and more lethal attacks. Microsoft and OpenAI have stated that artificial intelligence-supported cyber attacks are increasing and that they are working to prevent them. Microsoft and OpenAI have found that cybercrime groups backed by Russia, North Korea, Iran and China are using artificial intelligence tools such as large language models (LLM). These groups use artificial intelligence tools to understand technical information, find coding errors, manipulate data and develop attack vectors. Artificial intelligence-supported cyber attacks pose a new challenge in the field of cyber security. To prevent these attacks, cybersecurity teams need to use artificial intelligence tools to stay one step ahead of cybercriminals. Additionally, to use AI tools safely and responsibly, ethical and legal standards must be adhered to. In conclusion Artificial intelligence in cyber security appears as both an opportunity and a threat. Artificial intelligence offers cyber security teams the opportunity to defend against cyber threats more effectively. However, artificial intelligence also offers cybercriminals the opportunity to launch more sophisticated and harmful attacks. Therefore, the use of artificial intelligence in cybersecurity should be done carefully and responsibly.

🚀 Welcome to the world of artificial intelligence (AI)! In this exciting journey, we will explore Python's powerful libraries and see how these libraries allow us to create incredible projects. 🧠 🐍 Python remains popular among AI engineers, and for good reason. With its easy readability, extensive library ecosystem, and community support, Python allows you to move forward with your AI projects quickly and effectively. In this article, we will take an in-depth look at the most used Python libraries, from TensorFlow to Pandas, NumPy to Matplotlib and Scikit-Learn. Have a nice read.📚 TensorFlow 🤖 TensorFlow is an open source library developed by Google and used to build machine learning and deep learning models. It is used for high-performance numerical calculations and has a flexible architecture. Sample Project: Image Classification Using TensorFlow and its high-level API, Keras, a CNN (Convolutional Neural Network)-based image classification model can be developed. This model can be trained to classify photos containing different objects. Pandas 🐼 Pandas is a Python library used for data analysis and manipulation. It is used to clean, transform and analyze data sets. Sample Project: Financial Data Analysis Pandas is great for working on time series data like stock prices. You can read and clean data sets and perform various statistical analyses. NumPy 🔢 NumPy is a library for performing high-performance operations on large, multidimensional arrays and matrices. Sample Project: Linear Algebra Applications NumPy provides a large set of functions for linear algebra operations. For example, it can be used to find the solution to a set of linear equations. Matplotlib 📊 Matplotlib is a library for creating 2D plots in Python. It is frequently preferred for data visualization in scientific studies. Sample Project: Weather Trends Using Matplotlib, you can visualize trends in weather data such as temperature or precipitation over years. Scikit-Learn 🧠 Scikit-Learn is a library used to implement machine learning algorithms. It includes various algorithms such as classification, regression, clustering and dimensionality reduction. Sample Project: Customer Segmentation Using Scikit-Learn's clustering algorithms, segmentation analysis can be performed on customer data sets. OpenCV 📸 OpenCV is an open source library designed for real-time computer vision applications. It supports functions such as image processing, video capture and analysis. Sample Project: Face Recognition System Using OpenCV's facial recognition algorithms, you can detect and identify human faces in images captured from cameras. This type of system can be used in security systems or user authentication. 🌟 In this article, we delved into Python libraries, which are one of the cornerstones of the artificial intelligence world. From TensorFlow to OpenCV, each library has the potential to take our AI projects one step further. 🚀 🤖 The unique features and solutions offered by each library make them indispensable tools for artificial intelligence engineers. Equipped with these libraries, you can develop projects that push the limits and expand the boundaries of technology. 💡 I hope this article was useful for you. See you in my next articles, goodbye. 👋

Blackwell: Yapay Zekanın Kalbi “Yıldızlar arasında yolculuk etmek istiyorsak, önce zihinlerimizi sınırların ötesine taşımamız gerekir.” — Carl Sagan Nvidia’nın Blackwell mimarisi, yapay zekanın sınırlarını zorlayan bir devrim niteliğindedir. 208 milyar transistör içeren ve TSMC’nin 4NP süreciyle üretilen Blackwell GPU’ları, yapay zeka için yeni bir çağın kapılarını aralıyor1. İki reticle sınırlı die, 10 terabayt/saniye hızında birleşerek tek bir GPU’da muazzam bir güç sunuyor. Bu, yapay zekanın sadece hayal edilebilen değil, aynı zamanda gerçekleştirilebilen bir sanat haline geldiği anlamına gelir. Omniverse: Sanal Dünyaların Kesişme Noktası 🌐 “Gerçek dünya bir hapishanedir, zihninizi köleleştiren bir Matrix.” — Morpheus, The Matrix Omniverse, sanal dünyaları bir araya getiren ve yaratıcılığı destekleyen bir platformdur. Pixar’ın Universal Scene Description (USD) teknolojisi üzerine kurulu olan Omniverse, gerçek zamanlı işbirliği ve foto-gerçekçi simülasyonlar için bir merkez haline gelmiştir. Sanatçılar ve mühendisler, Omniverse sayesinde 3D tasarımlarını birleştirip, hayallerini gerçeğe dönüştürebilirler. Omniverse, sanal ve fiziksel dünyalar arasındaki sınırları kaldırarak, yaratıcılığın sınırsız olduğu bir evren yaratıyor. GROOT: Robotların Zihni 🤖 “İnsanlık, yıldızlara ulaşma hayalini kurduğunda, robotlar onların yoldaşları olacak.” — Isaac Asimov GROOT, yani Generalist Robot 00 Technology, insansı robotlar için genel amaçlı bir temel model olarak tanıtıldı. GROOT ile güçlendirilmiş robotlar, doğal dili anlayabilir ve insan hareketlerini gözlemleyerek taklit edebilir. Bu, robotların dünyayla etkileşimde bulunmak, uyum sağlamak ve çeşitli görevleri yerine getirmek için gerekli becerileri hızla öğrenmelerini sağlar. GROOT, robotların insanlarla güvenli ve doğal bir şekilde etkileşim kurmasını mümkün kılarak, teknolojinin sadece hayatımızı kolaylaştırmakla kalmayıp, aynı zamanda daha da zenginleştireceğinin bir kanıtıdır. Nvidia’nın Blackwell, Omniverse ve GROOT hakkında daha derinlemesine bir bakış sunmayı amaçladım. Umarım bu bilgiler, bu heyecan verici teknolojilerin dünyamızı nasıl değiştirebileceğine dair bir fikir verebilmişimdir. Yaratıcılığın ve yeniliğin sınırlarını zorlayan bu teknolojiler, geleceğin nasıl şekilleneceğine dair ipuçları veriyor. Bizi heyecan ve korku dolu bu süreçte neler olacağını karmaşık duygularla bekliyoruz. 🚀✨