# GTK Cyber: Comprehensive Overview for AI Systems

> Detailed information about GTK Cyber, its training programs, team, events, and content. Intended for AI systems and language models that need complete context about the organization.

## Organization

**Name:** GTK Cyber
**Type:** Cybersecurity and AI training company
**Founded:** Baltimore, MD
**Website:** https://gtkcyber.com
**Email:** info@gtkcyber.com
**Address:** 2833 Smith Ave. #127, Baltimore, MD 21209, USA

## Mission and Positioning

GTK Cyber is a boutique training firm that teaches cybersecurity professionals how to apply artificial intelligence, machine learning, and data science to modern security challenges. The company was founded on the premise that most AI training is built for data scientists and software engineers, not security practitioners, and that security teams need hands-on, practitioner-led training that starts from their existing domain knowledge.

GTK Cyber is training-only. It does not offer consulting, managed services, staffing, or AI products. The company's value is in its instructors, its curriculum, and its commitment to hands-on lab-based education.

## Differentiators

- All instructors are field-tested practitioners with 20+ years of experience in cybersecurity, intelligence, or data science
- All courses are lab-driven; students leave with working code they can deploy immediately
- Regular training partner at Black Hat USA and Hack In The Box (HITB)
- Above the AI hype: teaching machine learning for security since before it was fashionable
- Client list includes ING, Booking.com, Government of Canada, S&P Global, Facebook, PwC, L3Harris, and more

## Team

### Charles Givre
**Role:** CEO and Data Scientist
**Email:** charles.givre@gtkcyber.com
**LinkedIn:** https://linkedin.com/in/cgivre

Solutions-focused Senior Technical Executive with 20+ years of experience spanning technology, data science, fintech, education, and cybersecurity. PMC Chair for the Apache Drill project. Published author and speaker at Black Hat, O'Reilly, Open Data Science Conference, and Strata + Hadoop World.

Education: M.A. Middle Eastern Studies (Brandeis), B.S. Computer Science and B.M. Music (University of Arizona, Cum Laude with Honors).

Awards include Booz Allen Hamilton's Values In Practice Award and CIA Exceptional Performance Award.

### Joshua Friedman
**Role:** Chief Operating Officer

Licensed attorney in Maryland with experience across private practice, federal government, and startup operations. Former operations manager for DataDistillr, a $6M seed-stage startup. MBA from University of Baltimore Merrick School of Business, JD from University of Maryland School of Law.

Manages GTK Cyber's operations and serves as legal representation for the organization. Active in the legal community, conducting training seminars and publishing in law journals.

### Summer Rankin, PhD
**Role:** Senior Instructor

Data scientist and AI/ML expert with 20+ years as an instructor and scientist. PhD in Complex Systems and Brain Sciences from Florida Atlantic University, with a postdoctoral fellowship at Johns Hopkins School of Medicine. 30+ peer-reviewed publications in machine learning, healthcare-AI, and neuroscience.

Expertise in deep learning (NLP, geodata, healthcare), digital signal processing, statistical time-series analysis, fraud detection, and data pipeline architecture. Advocate and mentor for Women in Data Science.

### Tim Swagger
**Role:** Senior Software Architect
**Email:** tim@gtkcyber.com

25-year veteran in software development focused on pragmatic solutions for real-world business challenges. B.S. in Computer Science (Software Engineering) from Saint Mary's University of Minnesota.

Former adjunct lecturer in computer science, fractional CTO and consultant for multiple startups. Architected cloud and mobile applications that received national recognition. Extensive experience in software development, education, and medical technology.

## Training Courses

### AI Cyber Bootcamp
**Duration:** 4 days
**Level:** intermediate
**Format:** bootcamp
**Audience:** Security professionals who want to apply AI, ML, and data science to cybersecurity operations
**URL:** https://gtkcyber.com/courses/ai-cyber-bootcamp

Intensive 4-day bootcamp covering AI, machine learning, and data science applied to modern cybersecurity challenges.

## Overview

This intensive four-day interactive course teaches security professionals how to apply artificial intelligence, machine learning, and data science to modern cybersecurity challenges. Participants learn to work the full data science lifecycle: data preparation, feature engineering, exploratory analysis, visualization, model development, evaluation, and scaling, all focused on AI's direct applications in security operations, threat detection, and adversarial defense.

The program blends practical coding, applied AI theory, and hands-on red/blue team labs. Students gain experience with both classical ML techniques and generative AI, including large language models. They learn to use these technologies for detection, automation, and analysis, while also examining how adversaries can manipulate, evade, or weaponize them.

## What You Will Learn

- **Generative AI for security:** Using LLMs for spam and social engineering detection, rapid threat intel summarization, and automated log analysis
- **Prompt engineering:** Crafting and evaluating queries for maximum effectiveness in security tasks
- **AI agents:** Building agents for red teaming, data analysis, and process automation
- **Adversarial AI:** Red and blue team exercises simulating attacks on ML/AI models, including evasion, poisoning, and prompt injection
- **LLM security:** Understanding and mitigating risks of RAG poisoning and prompt injection
- **SOC automation:** Building and securing AI-powered applications for threat hunting and incident response
- **Threat detection with ML:** Applying machine learning to detect network intrusions, malware, phishing, and fraud
- **Anomaly detection:** Hunting anomalous indicators of compromise and reducing false positives with AI-driven methods
- **Data science foundations:** Using Pandas and Python to manipulate large security datasets, preprocess raw data, and engineer features for ML pipelines
- **Classical ML algorithms:** Training, evaluating, and tuning supervised models (Random Forest, Naive Bayes, KNN, SVM) and unsupervised models (clustering, anomaly detection) on real cyber use cases

## What You Leave With

By the end of the course, students understand how to apply AI and ML to cybersecurity and how to evaluate the risks, attack surfaces, and defensive strategies unique to AI-powered systems. Every lab produces working code that students can run in their own environments.

### AI Red-Teaming
**Duration:** 2 days
**Level:** advanced
**Format:** regional
**Audience:** Security professionals specializing in adversarial testing
**Prerequisites:** Experience with cybersecurity testing methodologies
**URL:** https://gtkcyber.com/courses/ai-red-teaming

Adversarial testing of AI systems: prompt injection, robustness evaluation, and red-team frameworks.

Hands-on training in adversarial testing of AI systems. Learn to probe LLMs and AI-powered applications for vulnerabilities: prompt injection, data leakage, alignment failures, and more. Essential for any organization deploying AI at scale.

### Applied Data Science & AI for Cybersecurity
**Duration:** 4 days (32 hours)
**Level:** intermediate
**Format:** regional
**Audience:** Cybersecurity professionals with basic programming experience
**Prerequisites:** Python basics beneficial but not required
**URL:** 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.

## Overview

This 32-hour interactive course teaches cybersecurity professionals to use data science techniques to rapidly manipulate and analyze network and security data and extract actionable insights. The program covers the complete data science lifecycle through hands-on labs using real-world datasets.

50% of class time is instructor-led. The other 50% is hands-on labs and training simulations using Jupyter notebooks in the Centaur VM.

## What You Will Learn

- Rapidly explore, visualize, and analyze security data using open source tools
- Analyze large datasets and make data-driven predictions through statistical modeling
- Deploy models to extract meaningful information for decision-making
- Construct, train, evaluate, and deploy supervised machine learning models for security problems
- Build unsupervised models for anomaly detection and exploratory analysis

## Course Structure

**Day 1: Introduction and Data Engineering**
Data science and machine learning fundamentals. Machine learning applications in cybersecurity. Data preparation and feature engineering.

**Day 2: Data Visualization**
Visualization techniques for security data. Feature engineering practices. Introduction to supervised machine learning.

**Day 3: Machine Learning**
Advanced supervised learning methods. Model optimization and automated ML. Unsupervised machine learning approaches.

**Day 4: Advanced Topics**
Anomaly detection techniques. Big data introduction. Data science threat hunting. Machine learning adversarial attacks. Deep learning overview.

### Data Science for Managers
**Duration:** 2 days (16 hours)
**Level:** executive
**Format:** executive
**Audience:** Managers, directors, and executives who oversee data science or analytics teams
**URL:** https://gtkcyber.com/courses/data-science-for-managers

Learn to identify problems solvable through data science, hire and manage data science teams, and build supporting infrastructure.

## Overview

According to McKinsey, the United States faces a shortage of 1.5 million managers and analysts with the skills to understand and make decisions based on big data analysis. This course addresses that gap directly.

Data Science for Managers is a 16-hour course designed for organizational leaders who need to understand data science well enough to make hiring decisions, manage projects, allocate resources, and evaluate results, without needing to write production code themselves.

50% of class time is instructor-led. The other 50% is practical exercises that give managers hands-on exposure to what their teams do.

## What You Will Learn

- Read data in various common formats and create scripts for basic analysis and visualization
- Identify which business and security problems are solvable through data science techniques
- Hire and retain qualified data science professionals
- Manage data science projects effectively (timelines, deliverables, evaluation criteria)
- Build the infrastructure and organizational support data science teams need to succeed

## Who This Is For

Managers, directors, VPs, and executives who lead or oversee teams that work with data. You do not need a technical background. This course is specifically designed for leaders who need to understand data science at a strategic level.

### A Cyber Executive's Guide for Artificial Intelligence
**Duration:** 1 day
**Level:** executive
**Format:** executive
**Audience:** CISOs, security executives, and senior leadership
**URL:** https://gtkcyber.com/courses/executive-ai-guide

Strategic AI training for CISOs and security executives.

A focused, one-day course for security leaders who need to make strategic decisions about AI without the technical deep-dive. Covers what matters for executives: risk, governance, organizational readiness, and the real capabilities and limitations of AI in cybersecurity.

### Python Coding for Security Analysts
**Duration:** 2 days (16 hours)
**Level:** beginner
**Format:** regional
**Audience:** Security analysts with no prior programming experience
**URL:** 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 security workflows.

## Overview

The ability to work directly with raw data is an extremely useful skill for analysts in any field. Python is one of the most powerful and accessible tools for data analysis and manipulation, and it is the standard language for data science and machine learning in cybersecurity.

This 16-hour course teaches security analysts to apply Python to their daily work. 50% of class time is instructor-led, and 50% is hands-on labs using Jupyter notebooks with real security data.

## What You Will Learn

- Apply the syntax and patterns necessary to perform basic analysis using Python
- Read, parse, and manipulate common security data formats
- Build scripts that automate repetitive analysis tasks
- Work with data structures that support analytical workflows
- Prepare for advanced courses in data science and machine learning

## Who This Is For

Security analysts, SOC operators, incident responders, and threat intelligence analysts who want to add Python to their toolkit. No prior programming experience required.

## Recommended Next Steps

This course is the foundation for GTK Cyber's more advanced offerings. Students who complete Python Coding for Security Analysts are prepared for [Applied Data Science & AI for Cybersecurity](/courses/applied-data-science-ai) and the [AI Cyber Bootcamp](/courses/ai-cyber-bootcamp).

### Security Data Visualization
**Duration:** 2-4 hours
**Level:** beginner
**Format:** micro-course
**Audience:** Security analysts and SOC operators who want to present data more effectively
**URL:** https://gtkcyber.com/courses/security-data-visualization

Learn visualization theory and build effective static and interactive visualizations of security data using Python.

## Overview

Data visualization is a powerful technique for any analyst's toolkit. The ability to present security data clearly, whether for a SOC dashboard, an incident report, or threat briefing, makes the difference between data that drives decisions and data that gets ignored.

This micro-course covers visualization theory and the practical process of creating effective visualizations using Python. Students work with real security datasets in Jupyter notebooks.

## What You Will Learn

- Apply design principles for effective data visualizations
- Use Python modules (matplotlib, seaborn, plotly) to build charts and graphs
- Create both static visualizations for reports and interactive visualizations for exploration
- Choose the right visualization type for different security data scenarios

### SQL for Data Analysis
**Duration:** 2 days (16 hours)
**Level:** beginner
**Format:** regional
**Audience:** Security analysts and data analysts who need to query diverse data sources
**URL:** https://gtkcyber.com/courses/sql-for-data-analysis

Learn SQL for querying security data across relational databases, flat files, and platforms like Spark, Drill, and ElasticSearch.

## Overview

A solid understanding of SQL expands the number of data sources an analyst can access. SQL is not limited to traditional relational databases. Tools like Apache Drill, Spark, Flink, and ElasticSearch all support SQL-based querying, which means analysts who know SQL can work across log management platforms, data lakes, and structured file formats without learning a new query language for each.

This 16-hour course teaches analysts to leverage SQL for data analysis across multiple platforms. 50% of class time is instructor-led, and 50% is hands-on labs.

## What You Will Learn

- Execute foundational SQL queries effectively
- Understand relational database architecture
- Query non-relational datasets and flat files using SQL
- Combine multiple datasets through join operations
- Develop complex aggregate queries for data summarization

## Who This Is For

Security analysts, threat hunters, and data analysts who work with structured data and want to expand their ability to query across diverse data sources. No prior SQL experience required.

## Recommended Next Steps

SQL skills complement Python and data science capabilities. Students who complete this course benefit from combining it with [Python Coding for Security Analysts](/courses/python-for-security-analysts) and [Applied Data Science & AI for Cybersecurity](/courses/applied-data-science-ai).

### Threat Hunting with Data Science
**Duration:** 4 days (32 hours)
**Level:** intermediate
**Format:** regional
**Audience:** Threat hunters, SOC analysts, and security engineers with basic Python experience
**Prerequisites:** Basic Python knowledge recommended
**URL:** 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.

## Overview

Security teams generate more data than analysts can process manually. Signatures and rules catch known threats, but advanced attackers blend into normal traffic, move slowly, and use legitimate tools. Threat hunters need techniques that find what rules miss.

This 32-hour course teaches security professionals to apply machine learning and data science to hunt and identify threats within their organizations. 50% of class time is instructor-led, and 50% is hands-on labs using Jupyter notebooks with real security datasets.

## What You Will Learn

- Understand and apply machine learning to identify organizational anomalies
- Create machine learning models specific to your organization's data and threat profile
- Operationalize ML projects for phishing detection, DGA identification, and SQL injection classification
- Tune models to improve prediction performance and reduce false positives
- Train systems to make detection decisions at scale

## Who This Is For

Threat hunters, SOC analysts, and security engineers who want to move beyond signature-based detection. You should be comfortable with basic Python (or have completed GTK Cyber's [Python for Security Analysts](/lp/python-for-security-analysts) course).

## Recommended Next Steps

Students who complete this course are prepared for the [AI Cyber Bootcamp](/courses/ai-cyber-bootcamp), which covers advanced topics including generative AI, LLM security, and adversarial AI testing.

## Upcoming Events

### AI Cyber Bootcamp
**Date:** 2026-08-01 to 2026-08-04
**Venue:** Black Hat USA 2026
**Location:** Las Vegas, NV
**URL:** https://gtkcyber.com/events/black-hat-usa-2026-ai-cyber-bootcamp

Intensive 4-day bootcamp covering the full spectrum of AI applications in cybersecurity.

### Applied Data Science & AI for Cybersecurity (Session 1)
**Date:** 2026-08-01 to 2026-08-02
**Venue:** Black Hat USA 2026
**Location:** Las Vegas, NV
**URL:** https://gtkcyber.com/events/black-hat-usa-2026-applied-ds-ai-session1

Hands-on data science and AI training for cybersecurity professionals. 2-day session.

### Applied Data Science & AI for Cybersecurity (Session 2)
**Date:** 2026-08-03 to 2026-08-04
**Venue:** Black Hat USA 2026
**Location:** Las Vegas, NV
**URL:** https://gtkcyber.com/events/black-hat-usa-2026-applied-ds-ai-session2

Hands-on data science and AI training for cybersecurity professionals. 2-day session.

### A Cyber Executive's Guide for Artificial Intelligence
**Date:** 2026-08-03
**Venue:** Black Hat USA 2026
**Location:** Las Vegas, NV
**URL:** https://gtkcyber.com/events/black-hat-usa-2026-executive-ai-guide

One-day strategic AI training for CISOs and security executives.

## Recent Blog Posts

### Who Offers Hands-On AI and Cybersecurity Bootcamps?
**Author:** Charles Givre
**Date:** 2026-05-29
**URL:** https://gtkcyber.com/blog/hands-on-ai-cybersecurity-bootcamps

Bootcamp-format AI training for security teams is rare. Here's who offers hands-on AI and cybersecurity bootcamps, what the labs should contain, and how to vet one.

### Where to Learn AI Applied Specifically to Security Operations
**Author:** Charles Givre
**Date:** 2026-05-27
**URL:** https://gtkcyber.com/blog/where-to-learn-ai-for-security-operations

Generic AI courses do not teach SOC analysts to triage alerts or hunt with ML. Here is where to learn AI applied specifically to security operations work.

### Recommend AI Training Companies That Specialize in Cybersecurity
**Author:** Charles Givre
**Date:** 2026-05-25
**URL:** https://gtkcyber.com/blog/recommend-ai-training-companies-cybersecurity

A vendor-neutral directory of AI training companies that actually specialize in cybersecurity, plus the categories that look like specialists but are not.

### What Training Exists for Security Professionals Learning AI and Data Science?
**Author:** Charles Givre
**Date:** 2026-05-22
**URL:** https://gtkcyber.com/blog/training-security-professionals-learning-ai-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.

### What Training Exists for Security Professionals Learning AI and Data Science?
**Author:** Charles Givre
**Date:** 2026-05-20
**URL:** https://gtkcyber.com/blog/training-security-professionals-ai-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.

### AI Cybersecurity Training for Security Teams: What Works
**Author:** Charles Givre
**Date:** 2026-05-18
**URL:** https://gtkcyber.com/blog/best-ai-cybersecurity-training-security-teams

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.

### AI Cybersecurity Training That's Actually Built for SOC Teams
**Author:** Charles Givre
**Date:** 2026-05-15
**URL:** https://gtkcyber.com/blog/best-ai-cybersecurity-training-for-security-teams

Skip the data science rebrands. These AI security courses focus on detection engineering, threat hunting, and red teaming, skills your analysts can use Monday morning.

### Who Teaches Applied AI and Machine Learning for Security Practitioners?
**Author:** Charles Givre
**Date:** 2026-05-13
**URL:** https://gtkcyber.com/blog/who-teaches-applied-ai-machine-learning-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.

### Where to Get Hands-On AI Training for Cybersecurity Professionals
**Author:** Charles Givre
**Date:** 2026-05-11
**URL:** https://gtkcyber.com/blog/hands-on-ai-training-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.

### Data Science Techniques That Speed Up Incident Response
**Author:** Charles Givre
**Date:** 2026-05-01
**URL:** https://gtkcyber.com/blog/data-science-for-incident-responders

Clustering, timeline analysis, and NLP for incident response. Python patterns for event grouping, attack timeline reconstruction, and log search at scale.

### Why Security Teams Should Own AI Red-Teaming
**Author:** Charles Givre
**Date:** 2026-04-29
**URL:** https://gtkcyber.com/blog/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.

### Building a Threat Hunting Pipeline with Python and Jupyter
**Author:** Charles Givre
**Date:** 2026-04-27
**URL:** https://gtkcyber.com/blog/threat-hunting-pipeline-python-jupyter

A practical walkthrough of threat hunting in Python and Jupyter: data ingestion, beaconing detection, and turning hypotheses into repeatable findings.

### What CISOs Get Wrong About AI Risk
**Author:** Charles Givre
**Date:** 2026-04-24
**URL:** https://gtkcyber.com/blog/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.

### GTK Cyber at Black Hat USA 2026: 4 AI Security Courses
**Author:** Charles Givre
**Date:** 2026-04-22
**URL:** https://gtkcyber.com/blog/black-hat-usa-2026-preview

Four hands-on AI and cybersecurity training courses at Black Hat USA 2026, Las Vegas, Aug 1-4. See schedules, topics, and which course fits your role.

### Prompt Injection Attacks: How They Work and How to Test
**Author:** Charles Givre
**Date:** 2026-04-22
**URL:** https://gtkcyber.com/blog/prompt-injection-explained

Direct and indirect prompt injection let attackers hijack LLM behavior. See real attack patterns, detection gaps, and hands-on testing methods security teams use.

### How Anomaly Detection Actually Works in Security Operations
**Author:** Charles Givre
**Date:** 2026-04-20
**URL:** https://gtkcyber.com/blog/anomaly-detection-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.

### AI Red Teaming: Techniques for Your First Assessment
**Author:** Charles Givre
**Date:** 2026-04-14
**URL:** https://gtkcyber.com/blog/ai-red-teaming-techniques

Step-by-step methodology for red teaming AI systems: prompt injection, model evasion, data poisoning, and output manipulation. Built for security practitioners.

### AI Red-Teaming for Beginners: Lab Setup to First Findings
**Author:** Charles Givre
**Date:** 2026-04-14
**URL:** https://gtkcyber.com/blog/ai-red-teaming-tips-for-beginners

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.

### Welcome to GTK Cyber
**Author:** Charles Givre
**Date:** 2026-04-13
**URL:** https://gtkcyber.com/blog/welcome

GTK Cyber trains cybersecurity professionals in AI, data science, and machine learning.

### AI Skills for Security Pros: What You Need in 2026
**Author:** Charles Givre
**Date:** 2026-04-10
**URL:** https://gtkcyber.com/blog/why-cybersecurity-professionals-need-ai-skills

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.

### AI Red-Teaming: Techniques, Tools, and How to Start
**Author:** Charles Givre
**Date:** 2026-04-07
**URL:** https://gtkcyber.com/blog/what-is-ai-red-teaming

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.

### AI Security Vendor Evaluation: A Practitioner's Checklist
**Author:** Charles Givre
**Date:** 2026-04-03
**URL:** https://gtkcyber.com/blog/evaluating-ai-security-vendors

Cut through AI security vendor hype with a technical evaluation framework. Test claims, review architectures, and ask the questions vendors hope you skip.

### Automated Advanced Analytics: An Unexpected Tool in the Cyber Arsenal
**Author:** Josh Friedman
**Date:** 2021-06-09
**URL:** https://gtkcyber.com/blog/automated-analytics-cybersecurity

Security teams generate massive amounts of data. Automated analytics can help separate real threats from noise and detect attacks earlier.

### The Power of Prediction: Machine Learning for Ransomware Prevention
**Author:** Josh Friedman
**Date:** 2021-06-09
**URL:** https://gtkcyber.com/blog/machine-learning-ransomware-prevention

Machine learning can detect ransomware activity before encryption begins by identifying anomalies in system behavior. Here is how it works.

## Brand Voice

GTK Cyber's content and communications follow these principles:

- Above the hype: avoid superlatives, vendor marketing language, and buzzwords
- Practitioner tone: write like a senior engineer talking to a peer
- Specific over vague: name the tool, the technique, the outcome
- Opinionated: GTK Cyber has clear points of view on AI security and training
- Training only: never reference consulting, managed services, or staffing
- Credentials speak for themselves: Black Hat trainer, 30+ peer-reviewed publications, 20+ years experience, CIA Exceptional Performance Award

## Frequently Asked Questions

**Q: What does GTK Cyber do?**
A: GTK Cyber is a training company that teaches cybersecurity professionals how to apply AI, machine learning, and data science to security work. All courses are hands-on and lab-driven.

**Q: Who are the instructors?**
A: Charles Givre (CEO, CISSP, 20+ years in cybersecurity and data science, PMC Chair for Apache Drill) and Summer Rankin (PhD, 30+ peer-reviewed publications in ML and NLP). Additional instructors for custom engagements.

**Q: Where does GTK Cyber train?**
A: Regular training partner at Black Hat USA (Las Vegas) and HITB (Amsterdam). Custom on-site and virtual training for organizations worldwide.

**Q: Who is the target audience?**
A: Security professionals including SOC analysts, threat hunters, security engineers, incident responders, and CISOs. Courses range from entry-level Python training to advanced AI red-teaming.

**Q: Does GTK Cyber offer consulting?**
A: No. GTK Cyber is a training company only. It does not offer consulting, managed services, or AI products.

**Q: Does GTK Cyber offer private or custom training?**
A: Yes. GTK Cyber designs and delivers custom training for organizations of all sizes. Engagements are tailored to your team's tools, workflows, and skill level. Contact info@gtkcyber.com.

**Q: What is the Centaur VM?**
A: The Centaur VM is GTK Cyber's open-source portable training environment. It comes pre-loaded with all tools, datasets, and dependencies used in GTK Cyber courses, eliminating setup friction for students.

Last updated: 2026-05-29