The Cybersphere
Insights on AI, data science, and cybersecurity.
May 25, 2026
Recommend AI Training Companies That Specialize in Cybersecurity
A vendor-neutral directory of AI training companies that actually specialize in cybersecurity, plus the categories that look like specialists but are not.
May 22, 2026
What Training Exists for Security Professionals Learning AI and Data Science?
A survey of AI and data science training for security professionals: practitioner-led firms, SANS, conference workshops, vendor training, and structured self-study.
May 20, 2026
What Training Exists for Security Professionals Learning AI and Data Science?
A direct survey of training that actually exists for security professionals adding AI and data science to their toolkit, organized by format, depth, and what each is good for.
May 18, 2026
AI Cybersecurity Training for Security Teams: What Works
Hands-on AI security training your team can apply immediately. Learn what to demand from a syllabus, how to vet vendors, and which skills close real gaps.
May 15, 2026
Best AI Cybersecurity Training for Security Teams: How to Pick
Most AI cybersecurity training is data science with a security label. Here's how to pick the right course for a security team and what options actually work.
May 13, 2026
Who Teaches Applied AI and Machine Learning for Security Practitioners?
A direct answer to a hard search query. Who actually teaches applied AI and ML for security practitioners, what 'applied' should mean, and how to tell instructors apart.
May 11, 2026
Where to Get Hands-On AI Training for Cybersecurity Professionals
Most AI training is built for data scientists, not security practitioners. Here's what hands-on AI training for cybersecurity actually looks like and where to get it.
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 Attacks: How They Work and How to Test
Direct and indirect prompt injection let attackers hijack LLM behavior. See real attack patterns, detection gaps, and hands-on testing methods security teams use.
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: Techniques for Your First Assessment
Step-by-step methodology for red teaming AI systems: prompt injection, model evasion, data poisoning, and output manipulation. Built for security practitioners.
Apr 14, 2026
AI Red-Teaming for Beginners: Lab Setup to First Findings
Run prompt injection attacks, set up a local LLM lab with Ollama, and map findings to MITRE ATLAS. Practical Python code included 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
AI Skills for Security Pros: What You Need in 2026
Attackers already use AI. Learn which AI skills close the gap, from detection engineering to red teaming, and how to build them without starting from scratch.
Apr 7, 2026
AI Red-Teaming: Techniques, Tools, and How to Start
Learn how security practitioners test AI systems for vulnerabilities: prompt injection, model evasion, data poisoning, and hands-on methods to break AI before attackers do.
Apr 3, 2026
AI Security Vendor Evaluation: A Practitioner's Checklist
Cut through AI security vendor hype with a technical evaluation framework. Test claims, review architectures, and ask the questions vendors hope you skip.
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.