GTK Cyber is back at Black Hat USA 2026 with four AI and cybersecurity training courses. August 1-4, Las Vegas. Here is what we are teaching and who each course is for.
The Lineup
AI Cyber Bootcamp (4 days, August 1-4)
The full progression. Four days covering generative AI, classical machine learning, adversarial AI, and building AI agents for security operations.
Day 1 covers AI theory and foundations: how transformers work, prompt engineering for security tasks, and retrieval-augmented generation. Day 2 shifts to AI red-teaming: prompt injection, jailbreaking, RAG poisoning, and adversarial ML. Day 3 covers AI system architecture and defensive applications. Day 4 is entirely hands-on: students build working AI agents for log analysis, threat intelligence, and reconnaissance.
Every lab uses Python, scikit-learn, Ollama for local model testing, and the GTK Cyber lab environment with all tools pre-loaded.
For: Security professionals who want the complete AI + cybersecurity skill set in one intensive week.
Applied Data Science & AI for Cybersecurity (2 days, two sessions)
Session 1 runs August 1-2. Session 2 runs August 3-4. Same curriculum, two chances to attend.
This is GTK Cyber’s flagship course. 32 hours covering the full data science lifecycle applied to security: data preparation, feature engineering, supervised ML (Random Forest, KNN, SVM for malware/phishing/URL classification), unsupervised ML (anomaly detection with IsolationForest, clustering), and LLM applications for security operations.
50% instruction, 50% hands-on labs. You leave with working Jupyter notebooks you can run against your own data.
For: SOC analysts, threat hunters, security engineers who want to apply ML to their existing workflows.
A Cyber Executive’s Guide to AI (1 day, August 3)
One day for CISOs and security leaders who need to understand AI well enough to make decisions about it.
Covers: what AI can and cannot do in a security context, how to evaluate AI vendor claims, the regulatory environment (EU AI Act, SEC cyber disclosure, state-level AI legislation), building AI-ready security teams, and frameworks for AI risk governance.
No coding. No math. Taught by practitioners who work with both the technology and the organizations that deploy it.
For: CISOs, deputy CISOs, VPs of security, and anyone presenting AI risk to a board.
Why Black Hat Training
Black Hat training days are the only time most security professionals get a dedicated block for skill development. The rest of the year is operations, fires, and vendor meetings.
What makes GTK Cyber’s Black Hat training different from a webinar or self-paced course:
- Lab-driven. More than half of class time is students writing code, building models, and running attacks. Not watching slides.
- Practitioner-taught. Every instructor has field experience in cybersecurity, data science, and intelligence. Content is grounded in operational reality.
- Portable skills. You leave with working Python notebooks, detection models, and agent code. Not a certificate and a set of slides.
- Context. You take the training, then walk onto the conference floor, into the briefings, and through the Arsenal demos. Everything you learned applies to what you see that week.
Registration
GTK Cyber courses at Black Hat are registered through the Black Hat training portal. Group rates are available for teams of three or more. Contact info@gtkcyber.com for group pricing.
Seats are limited. The AI Cyber Bootcamp and Applied Data Science courses typically sell out 4-6 weeks before the event.