Tech Guru Hub

Introduction: The swift advancement of artificial intelligence (AI) has brought a revolution to the world of cybersecurity. As AI allows organizations to discover and nullify threats at breakneck speed, it also endows cyberattackers with cutting-edge technology to evade defenses. This dichotomy makes AI a shield as well as a sword in the online arena. By 2030, the worldwide AI cybersecurity market will be expected to jump to $135 billion, which indicates its significance as a tool to protect data and infrastructure. This article discusses how AI reshapes cybersecurity, its advantages, disadvantages, and the ethical tightrope it requires.   AI as a Cybersecurity Defender  1. Enhanced Threat Detection and Response AI is superior in analyzing big datasets to pinpoint abnormalities that might elude human analysts. Machine learning (ML) algorithms, which are taught from past attack patterns, are able to identify zero-day exploits, phishing, and malware variants in real time. F...

  Introduction Today Cryptocurrency the part of global financial system, revolutionizing the way we understand and handle money. It is a digital currency that is decentralized and utilizes blockchain technology to facilitate secure, transparent, intermediary-free transactions. What is Cryptocurrency? Cryptocurrency is a virtual or electronic currency that utilizes cryptography for security. Unlike government-backed currencies (fiat currencies), cryptocurrencies are not stored on any central authority and, most notably, rely on decentralized blockchain networks. The first, Bitcoin, started in 2009 by some anonymous individual, Satoshi Nakamoto, is currently the most utilized. How Does Cryptocurrency Work? Cryptocurrencies work on a system called blockchain—a distributed ledger containing a record of all the transactions on a group of computers. Transactions are verified by a network of members (nodes) in a process referred to as mining or validation, depending on the cryptocurrency....

  Artificial intelligence (AI) is transforming industries, from healthcare to finance, AI skillful experts are high demand. Whether you're a new player or a veteran, acquiring elementary AI skills has the capability to set you apart in the job market. The top 10 AI skills to focus on in 2025 are given below:  ---  1. Machine Learning (ML)  Machine Learning is the base of AI, where systems learn from data and predict. Supervised learning, unsupervised learning, reinforcement learning skills, and TensorFlow, PyTorch, Scikit - Learn tools are the backbone for AI professionals. Why it matters? ML comes into play with everything ranging from recommendation systems to fraud detection and medical diagnoses.  ---  2. Deep Learning : Deep learning is a form of ML with more than one neural network layer. It powers image recognition, NLP, and speech recognition.  Key skills are: Understanding of Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNN...