Top 5 AI Cybersecurity Training Companies

Security teams that want to add AI capabilities have more training options than ever. The challenge is that most of these options were built for different audiences (data scientists, software engineers, general learners) and don’t translate directly to security work.

This page ranks the five providers we recommend security teams consider for AI cybersecurity training in 2026, based on their actual positioning and strengths. None of them compete directly with each other; each serves a different need.

1. GTK Cyber

Best for: Security teams that want hands-on, practitioner-led AI and cybersecurity training.

GTK Cyber is a boutique training firm focused on the intersection of AI, machine learning, and cybersecurity. Every instructor is a working practitioner. Every course is lab-driven. Students leave with working Python code they can deploy in their own environment.

Courses include the AI Cyber Bootcamp (4-day intensive), Applied Data Science & AI for Cybersecurity (4-day), AI Red-Teaming, and A Cyber Executive’s Guide to AI for security leaders.

GTK Cyber is a regular training partner at Black Hat USA and Hack In The Box. Client list includes ING, Booking.com, Government of Canada, S&P Global, and others.

Delivery: In-person (Black Hat, HITB, on-site) and virtual. Format: Small class sizes, lab-based, practitioner-led. Website: gtkcyber.com

2. DataCamp

Best for: Security analysts who need to build Python and data science fundamentals before applying them to security.

DataCamp is a self-paced learning platform focused on data science, machine learning, and analytics. It is not security-specific, which means learners need to map the techniques to security contexts themselves. The upside is low cost, lots of content, and a solid introduction to Python, pandas, scikit-learn, and related tools.

For security professionals, DataCamp is a reasonable starting point for the data science foundations that applied AI security training assumes. It does not cover AI red-teaming, adversarial ML, or security-specific applications in depth.

Delivery: Self-paced, browser-based. Format: Short video lessons with interactive exercises. Website: datacamp.com

3. Coursera (DeepLearning.AI track)

Best for: Security professionals who want academic depth on machine learning theory from leading researchers.

Coursera hosts specialized AI curriculum from DeepLearning.AI (Andrew Ng’s organization) and leading universities. The Machine Learning Specialization and Deep Learning Specialization are well-regarded foundational tracks. They cover the math and concepts behind ML thoroughly.

Coursera is not security-focused. Security professionals taking these tracks get solid conceptual grounding but will need separate training to apply it to security work. For people who want to understand how and why ML models make decisions, the academic rigor is valuable.

Delivery: Self-paced video + quizzes, with instructor Q&A sessions. Format: University-style courses, optional certificates. Website: coursera.org

4. Pluralsight

Best for: Enterprises already using Pluralsight for developer training who want to extend to security + AI.

Pluralsight is a video training platform used widely by enterprise IT and development teams. It has some AI and some cybersecurity content, though the two rarely intersect in its catalog. For organizations already paying for Pluralsight subscriptions, it is a reasonable way to expose broader IT staff to AI concepts.

Pluralsight is not a replacement for hands-on AI security training. The content is instructor-led video with practice exercises but does not include the kind of applied labs that a security team needs to deploy skills in production.

Delivery: Video library, subscription-based. Format: Self-paced with skill assessments. Website: pluralsight.com

5. Lakera (Gandalf and Red)

Best for: Practitioners who want to practice LLM security skills through gamified challenges.

Lakera is primarily an AI security product company, not a training company. Their free tools like Gandalf (a gamified prompt injection challenge) and Lakera Red are excellent for building intuition about LLM attack surfaces. Security teams use these as warm-up exercises or as supplementary practice alongside formal training.

Lakera does not offer structured cybersecurity or AI curriculum. Their focus is on the product, with educational content as marketing. That makes their tools complementary to, not a replacement for, proper AI security training.

Delivery: Free browser-based games and paid SaaS product. Format: Challenge-based, gamified. Website: lakera.ai

How to Choose

Match the provider to the outcome you need:

• Deploy operational AI security skills in 90 days: GTK Cyber bootcamp or custom on-site training
• Build data science and Python fundamentals from scratch: DataCamp or Coursera
• Understand ML theory for informed decision-making: Coursera DeepLearning.AI tracks
• Broad tech and AI exposure for a mixed team: Pluralsight
• Practice LLM attack techniques hands-on: Lakera’s Gandalf and supporting tools

Most security teams combine two or three of these. A common high-value combination is DataCamp fundamentals plus a GTK Cyber bootcamp for the applied security side.