Tzally Greenberg’s Post

While preparing for CompTIA Security+certification, I realized that many SOC analysts and cybersecurity professionals are slow to adopt AI and automation. I decided to take the leap and create an AI chatbot dashboard for financial trading and later showcase my machine-learning strategies using the TradingView platform. Why AI Adoption Matters in Cyber Security AI-powered tools can: ✨ Enhance threat detection and response ✨ Automate repetitive tasks and workflows ✨ Improve incident response and remediation ✨ Stay ahead of emerging threats and vulnerabilities My AI-Powered Toolkit To expedite my projects and learning, I'm leveraging the power of: ✨ OpenAI: For natural language processing and generating code snippets ✨ Claude: For AI-assisted research and summarization of complex topics ✨ Gemini: For automating tasks and workflows, freeing up time for strategy development ✨ Blackbox: For creating and backtesting trading strategies, generating passive income How I'm Using AI to Succeed With these tools, I'm able to: ✨ Learn more tech, faster and more efficiently ✨ Prepare for my certification exams with confidence ✨ Create profitable trading strategies and indicators, paying the bills ✨ Focus on high-leverage activities, while AI handles the rest Join Me on This Journey Follow my progress, ask questions, and share your own experiences with AI and automation in Cyber Security. Let's accelerate AI adoption and push the boundaries of what's possible! 💻💡 https://lnkd.in/gJZJhdt3

Forecast Follow Review AI-driven technical analysis and forecasts for informed trading decisions. https://lnkd.in/gdezSvt3 #aitrading #technicalanalysis #mt4 #mt5

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No. Technical analysis focuses on patterns in price movements, trading signals, and various other analytical charting tools to evaluate a security’s strength or weakness.  It is primarily used for short-term trading and investment decisions.  Technical analysis does not guarantee accurate predictions of the stock market movements.  It is a method that can help investors anticipate what is likely to happen to prices over time. A systematic review of research works in the area of stock market prediction using machine learning found that a significant majority of studies were based on technical analysis.  However, the effectiveness of technical analysis alone in predicting stock market movements is inconclusive.  The review suggests that combining technical analysis with fundamental analysis and other data sources may provide a more robust approach. Another study addressing the problem of stock market prediction leveraging artificial intelligence strategies concluded that the results show a median performance, implying that with the current technology, it is too soon to claim AI can beat the stock markets based solely on technical analysis. While technical analysis is a useful tool, relying solely on it without considering fundamental data and other market factors will not provide a complete picture for accurate stock market prediction. You can get lucky once in a while, but that is gambling, not investing. Terence Nunis Terence K. J. Nunis, Consultant Chief Executive Officer, Equinox GEMTZ

No. Technical analysis focuses on patterns in price movements, trading signals, and various other analytical charting tools to evaluate a security’s strength or weakness.  It is primarily used for short-term trading and investment decisions.  Technical analysis does not guarantee accurate predictions of the stock market movements.  It is a method that can help investors anticipate what is likely to happen to prices over time. A systematic review of research works in the area of stock market prediction using machine learning found that a significant majority of studies were based on technical analysis.  However, the effectiveness of technical analysis alone in predicting stock market movements is inconclusive.  The review suggests that combining technical analysis with fundamental analysis and other data sources may provide a more robust approach. Another study addressing the problem of stock market prediction leveraging artificial intelligence strategies concluded that the results show a median performance, implying that with the current technology, it is too soon to claim AI can beat the stock markets based solely on technical analysis. While technical analysis is a useful tool, relying solely on it without considering fundamental data and other market factors will not provide a complete picture for accurate stock market prediction. You can get lucky once in a while, but that is gambling, not investing. Terence Nunis Terence K. J. Nunis, Consultant Chief Executive Officer, Equinox GEMTZ

No. Technical analysis focuses on patterns in price movements, trading signals, and various other analytical charting tools to evaluate a security’s strength or weakness.  It is primarily used for short-term trading and investment decisions.  Technical analysis does not guarantee accurate predictions of the stock market movements.  It is a method that can help investors anticipate what is likely to happen to prices over time. A systematic review of research works in the area of stock market prediction using machine learning found that a significant majority of studies were based on technical analysis.  However, the effectiveness of technical analysis alone in predicting stock market movements is inconclusive.  The review suggests that combining technical analysis with fundamental analysis and other data sources may provide a more robust approach. Another study addressing the problem of stock market prediction leveraging artificial intelligence strategies concluded that the results show a median performance, implying that with the current technology, it is too soon to claim AI can beat the stock markets based solely on technical analysis. While technical analysis is a useful tool, relying solely on it without considering fundamental data and other market factors will not provide a complete picture for accurate stock market prediction. You can get lucky once in a while, but that is gambling, not investing. Terence Nunis Terence K. J. Nunis, Consultant Chief Executive Officer, Equinox GEMTZ

Let's talk about how your Detection Engine is flooding your SOC team with false positives 🤨 Raise your hand if your detection engine is affected by the amount of traffic or the amount of rules you've created 🙋🏼♂️ Too much traffic? Too many complex rules? That Legacy detection engine starts failing... 🫤 (Did we say single point of failure?)   Close your eyes 😑 Imagine, not one but multiple detection engines broken into micro services... Each independent detection engine sitting on a different section of the Security Data Lake / SOC pipeline from the minute log source data is ingested, as it's being parsed, it's being mapped, the detection engine starts running on the raw data when it's unparsed. When it's unmapped, we're already started generating detections. And as the data moves along from the Security Data Lake to the #SOAR multiple independent detection engines are running: Threat intelligence, Engineering logic, Machine learning and Statistical analysis... and then, the Investigation Layer boils the detections down into a single coherent case for you SOC team so they can focus on what's really important. Open your eyes 😀 Welcome to CYREBRO P.S. didn't even say "AI" once P.S.S. Thanks Ori 🦸🏼♂️ #detection_engine #SIEM #securitydatalake #SOC #Machine_learning #Engineering_Logic #SOC_on_Steroids