The Cybersphere
Insights on AI, data science, and cybersecurity.
May 1, 2026
Data Science Techniques That Speed Up Incident Response
Clustering, timeline analysis, and NLP for incident response. Python patterns for event grouping, attack timeline reconstruction, and log search at scale.
Apr 29, 2026
Why Security Teams Should Own AI Red-Teaming
AI red-teaming belongs to the security team, not the AI team. The adversarial mindset is already there. The AI knowledge gap is real but bounded.
Apr 27, 2026
Building a Threat Hunting Pipeline with Python and Jupyter
A practical walkthrough of threat hunting in Python and Jupyter: data ingestion, beaconing detection, and turning hypotheses into repeatable findings.
Apr 24, 2026
What CISOs Get Wrong About AI Risk
Most security executives overhype or underhype AI risk. Neither posture protects the organization. Here is what actually matters right now.
Apr 22, 2026
What to Expect from GTK Cyber at Black Hat USA 2026
GTK Cyber is offering four AI and cybersecurity training courses at Black Hat USA 2026 in Las Vegas, August 1-4. Here is what each course covers and who it is for.
Apr 22, 2026
Prompt Injection Explained for Security Professionals
Prompt injection is the LLM vulnerability security teams need to understand now. How direct and indirect injection work, real examples, and testing tools.
Apr 20, 2026
How Anomaly Detection Actually Works in Security Operations
Anomaly detection in security operations isn't magic. Here's what the math actually does, where it works on auth and network data, and where it falls short.
Apr 14, 2026
AI Red-Teaming: Tools, Techniques, and How to Get Started
Set up a local LLM lab with Ollama, run prompt injection tests with working Python code, and document findings using MITRE ATLAS. A hands-on guide for security practitioners.
Apr 13, 2026
Welcome to GTK Cyber
GTK Cyber trains cybersecurity professionals in AI, data science, and machine learning.
Apr 10, 2026
Why Cybersecurity Professionals Need AI Skills in 2026
AI is reshaping every part of the security landscape, offense and defense alike. Here's why building AI skills is no longer optional for security practitioners.
Apr 7, 2026
What Is AI Red-Teaming? A Practical Introduction for Security Professionals
AI red-teaming is the adversarial testing of AI systems, finding how they break before attackers do. Here's what it involves and why security professionals need to understand it.
Apr 3, 2026
How to Evaluate AI Security Vendors Without Getting Fooled
Every security vendor has an AI story now. Here's a practical framework for cutting through the marketing and evaluating what AI security tools actually do.
Jun 9, 2021
Automated Advanced Analytics: An Unexpected Tool in the Cyber Arsenal
Security teams generate massive amounts of data. Automated analytics can help separate real threats from noise and detect attacks earlier.
Jun 9, 2021
The Power of Prediction: Machine Learning for Ransomware Prevention
Machine learning can detect ransomware activity before encryption begins by identifying anomalies in system behavior. Here is how it works.