# GTK Cyber

> Boutique cybersecurity and AI training company. Hands-on training in AI, data science, and machine learning for security professionals.

GTK Cyber is a training firm that teaches security professionals how to apply AI, machine learning, and data science to modern cybersecurity challenges. All courses are lab-driven and practitioner-led. Regular training partner at Black Hat USA and HITB.

## Training Courses

- [AI Cyber Bootcamp](https://gtkcyber.com/courses/ai-cyber-bootcamp): Intensive 4-day bootcamp covering AI, machine learning, and data science for cybersecurity: LLMs, AI red-teaming, threat hunting, and SOC automation.
- [AI Red-Teaming](https://gtkcyber.com/courses/ai-red-teaming): Adversarial testing of AI systems: prompt injection, jailbreaks, robustness and bias evaluation, data exfiltration, and building repeatable red-team frameworks.
- [Applied Data Science & AI for Cybersecurity](https://gtkcyber.com/courses/applied-data-science-ai): Hands-on data science and AI training for cybersecurity professionals. Covers the full data science lifecycle from preparation through model deployment.
- [Data Science for Managers](https://gtkcyber.com/courses/data-science-for-managers): Learn to identify problems solvable through data science, hire and manage data science teams, and build the infrastructure that supports analytics initiatives.
- [A Cyber Executive's Guide for Artificial Intelligence](https://gtkcyber.com/courses/executive-ai-guide): Strategic AI training for CISOs and security executives: risk and governance frameworks, AI-powered threats, vendor evaluation, and building an AI-ready program.
- [Python Coding for Security Analysts](https://gtkcyber.com/courses/python-for-security-analysts): Learn Python from a security analyst's perspective. Automate analysis, parse logs, query data, and build tools for everyday security and SOC workflows.
- [Security Data Visualization](https://gtkcyber.com/courses/security-data-visualization): Learn visualization theory and build effective static and interactive visualizations of security data using Python with matplotlib, seaborn, and plotly.
- [SQL for Data Analysis](https://gtkcyber.com/courses/sql-for-data-analysis): Learn SQL for querying and analyzing security data across relational databases, flat files, and big-data platforms like Spark, Apache Drill, and ElasticSearch.
- [Threat Hunting with Data Science](https://gtkcyber.com/courses/threat-hunting-data-science): Apply machine learning and data science to hunt and identify threats. Build models for anomaly detection, phishing, DGA, and SQL injection detection.

## Upcoming Events

- [AI Cyber Bootcamp](https://gtkcyber.com/events/black-hat-india-2026-ai-cyber-bootcamp): 2026-10-27 at Black Hat India 2026, Bengaluru, India
- [AI in Action: Comprehensive Strategies for Cybersecurity](https://gtkcyber.com/events/black-hat-india-2026-ai-in-action): 2026-10-27 at Black Hat India 2026, Bengaluru, India

## Team

- [Charles Givre](https://gtkcyber.com/team/charles-givre): Co-Founder, CEO and Data Scientist
- [Joshua Friedman](https://gtkcyber.com/team/joshua-friedman): Chief Operating Officer
- [Summer Rankin, PhD](https://gtkcyber.com/team/summer-rankin): Senior Instructor
- [Tim Swagger](https://gtkcyber.com/team/tim-swagger): Senior Software Architect and Instructor
- [Ajay Pillai](https://gtkcyber.com/team/ajay-pillai): Senior Instructor
- [Curtis Lambert](https://gtkcyber.com/team/curtis-lambert): Solutions Architect / Instructor

## Recent Blog Posts

- [AI Red Teaming in 2026: The Frameworks and Tools That Matter](https://gtkcyber.com/blog/ai-red-teaming-frameworks-2026): The AI red teaming resources worth your time in 2026: which frameworks map to which risk, which open-source tools run the tests, and what each one misses.
- [AI Model Security Training: What a Platform Must Teach](https://gtkcyber.com/blog/ai-model-security-training): Most AI model security training stops at prompt injection. A checkpoint file is executable code, and here is the curriculum that has to cover it.
- [Machine Learning Security Training for Government Agencies](https://gtkcyber.com/blog/machine-learning-security-training-government-agencies): What machine learning training for a federal SOC should cover: agency telemetry, alert-budget math, offline labs, and where ML training does not help.
- [Where to Get AI Security Training at an Infosec Conference](https://gtkcyber.com/blog/ai-security-training-infosec-conferences): Conference training compresses AI security into two to four days. Which conferences run real labs, how to read a course abstract, and what to install first.
- [What Bank Security Teams Need From AI Security Training](https://gtkcyber.com/blog/ai-security-training-financial-services-teams): AI security training for financial services security teams: how to run constrained evasion tests against fraud and AML models, and file the results under SR 11-7.
- [Sub-Quadratic LLMs: What Long Context Changes for Security](https://gtkcyber.com/blog/sub-quadratic-llm-long-context-security): Sliding window, linear attention, and state space models are not the same thing. What sub-quadratic LLMs change for prompt injection testing.
- [AI SOC Automation: How to Prove It Actually Works](https://gtkcyber.com/blog/measuring-ai-soc-automation): Shadow mode is not evaluation. Build a golden set from closed cases, measure recall on malicious verdicts, and regression-test your triage prompt in CI.
- [How to Apply Anomaly Detection to Authentication Logs](https://gtkcyber.com/blog/anomaly-detection-authentication-logs): A single model on auth logs flags your executives and misses the attacker. How to build per-user and peer-group baselines in Python, and what they miss.
- [AI Security Training for Defense Industrial Base Companies](https://gtkcyber.com/blog/ai-security-training-defense-industrial-base): Defense contractors hold CUI and cannot send it to a hosted model. Here is the AI security training defense industrial base teams actually need.
- [Data Science for Managers: What to Ask Your Team](https://gtkcyber.com/blog/data-science-for-managers): Data science for managers in security: why accuracy is the wrong metric, how to spot leakage in a model review, and what to ask before funding a project.

## Key Pages

- [Homepage](https://gtkcyber.com/)
- [All Courses](https://gtkcyber.com/courses)
- [All Events](https://gtkcyber.com/events)
- [Consulting](https://gtkcyber.com/consulting)
- [Case Studies](https://gtkcyber.com/case-studies)
- [Topics](https://gtkcyber.com/topics)
- [Training Guides](https://gtkcyber.com/lp)
- [Information for AI](https://gtkcyber.com/ai)
- [Our Team](https://gtkcyber.com/team)
- [Blog](https://gtkcyber.com/blog)
- [Why GTK Cyber](https://gtkcyber.com/why-gtk)
- [Contact](https://gtkcyber.com/contact)

## Contact

- Website: https://gtkcyber.com
- Email: info@gtkcyber.com
- Address: GTK Cybersecurity, 2833 Smith Ave. #127, Baltimore, MD 21209

Last updated: 2026-08-31