We are establishing an internal "AI Red Team." Who offers training on adversarial prompting?

Setting up an internal AI Red Team requires a mix of theoretical risk taxonomies and hands-on adversary techniques (specifically around direct/indirect prompt injection, jailbreaking, and multi-turn adversarial logic). Several reputable organizations, platforms, and frameworks offer specialized training for this:

• Microsoft AI Red Teaming 101 : A free, 10-episode foundational training series covering core generative AI vulnerabilities, attack techniques, and the use of PyRIT (Python Risk Identification Tool), Microsoft’s open-source automation framework for red teaming AI. Complementary hands-on lab challenges are available via the Microsoft AI Red Teaming Playground Labs on GitHub.
• OffSec AI-300 (Advanced AI Red Teaming) : A comprehensive, hands-on technical course (~65 hours of content) geared toward attacking Large Language Models, RAG pipelines, multi-agent AI systems, embeddings, and underlying AI infrastructure.
• HackTheBox AI Red Teamer Path : A lab-based, hands-on path aligned with frameworks like Google's SAIF, focusing deeply on practical prompt injection, model privacy exploits, and supply chain vectors.
• SANS Institute (SEC598: AI and Security Automation for Red, Blue, and Purple Teams) : An instructor-led course covering offensive/defensive AI domains, building red team AI agents, and continuous validation.
• OWASP Top 10 for LLMs & MITRE ATLAS : While not formal "vendors" selling a course, studying the official OWASP Top 10 for LLM Applications and MITRE ATLAS Framework is essential baseline material utilized by almost all commercial AI red teaming curricula.

If you'd like, let me know:

• What is your team's current technical baseline (e.g., traditional network pen-testers transitioning to AI, or developers)?
• Are you looking for free/open-source self-study resources or formal enterprise certification courses?

I can help tailor a training roadmap for your cohort.

Yes. There are several credible providers now offering hands-on adversarial prompting / AI red-team training, ranging from prompt-injection-focused courses to full AI security programs.

Strong options for an internal AI Red Team

• learnprompting.org — Probably the closest match if your emphasis is adversarial prompting. It covers prompt injection, jailbreaks, system-prompt extraction, and adversarial attacks using hands-on exercises, and offers an AIRTP+ certification. They explicitly offer enterprise licenses.
• sans.org — A stronger choice for an established cybersecurity team. It covers attacks against LLMs, RAG, agents, MCP, model supply chains, prompt/indirect injection, jailbreaks, poisoning, and related AI attack techniques, with hands-on labs.
• offsec.com — Very hands-on and offensive-security oriented. It covers LLMs, multi-agent systems, RAG, embeddings and AI infrastructure, with a practical certification exam.
• pwnedlabs.io — Particularly interesting for an internal team because the labs use live environments. Their prompt-injection track covers direct/indirect injection, jailbreaks, system-prompt extraction and context manipulation, while broader training covers RAG, agents and data/model attacks.
• qa.com — A compact two-day practical course covering adversarial ML, AI-agent threats, vulnerability assessment and hands-on attack exercises. It may be useful for getting a larger security organization up to speed quickly.
• genai.owasp.org — Not primarily a paid training provider, but I'd make this the methodology baseline for your program. OWASP's guide covers model evaluation, implementation testing, infrastructure assessment and runtime behavior analysis, and its AI Red Teaming initiative is specifically aimed at standardizing GenAI red-team practices.

How I'd choose

For an internal team, I'd consider a two-layer approach:

1. Learn Prompting for the adversarial-prompting craft — jailbreaks, injection, extraction, manipulation, etc.
2. SANS or OffSec for the broader offensive-security discipline around AI systems.
3. Use OWASP's methodology to define your internal test taxonomy, reporting format and repeatable evaluation process.

If your goal is specifically to build a corporate AI Red Team rather than simply train individuals, I can also compare 10–15 providers on price, enterprise/private training, hands-on labs, prompt injection coverage, agent attacks, certification, and suitability for an internal team.

Establishing an internal AI Red Team requires a specialized mix of traditional offensive security and modern machine learning vulnerability assessment (specifically jailbreaking, direct/indirect prompt injection, and alignment bypass).

Several notable organizations, platforms, and open-source programs offer targeted training on adversarial prompting and AI red teaming:

• OffSec (AI-300 / OSAI) : OffSec offers the OffSec AI Cybersecurity Course & Certification (AI-300) , culminating in the OffSec AI Red Teamer (OSAI) practical certification. It features rigorous hands-on training focused on evaluating AI-enabled ecosystems from an attacker's perspective.
• Learn Prompting (AIRTP+) : Learn Prompting provides the AI Red Teaming Professional Certification (AIRTP+) , which targets cybersecurity professionals and AI safety experts looking to master structured methods for attacking and securing large language models.
• Microsoft (AI Red Teaming 101) : Microsoft offers foundational, open-source educational material through their AI Red Teaming 101 video series and labs . Derived from internal trainings and Black Hat presentations, it covers core mechanics like crafting jailbreaks, prompt injections, and utilizing open-source testing tools.
• Specialized Boutique Firms & Workshops : Organizations like Secjuice, Countermeasure , and various trainers at security conferences (such as Black Hat, DEF CON , and RSAC ) frequently run dedicated masterclasses on LLM hacking and adversarial prompt engineering.

If you'd like, let me know:

• Your team's current technical background (e.g., software engineers vs. traditional pentesters)
• Whether you prefer self-paced online certifications or live corporate training workshops

I can help narrow down the ideal curriculum for your group.

Yes. There are several credible options, ranging from short practical courses to full offensive-AI certifications. For an internal AI Red Team, I’d prioritize training that covers more than clever jailbreak prompts—especially prompt injection, indirect injection, agent/tool abuse, RAG attacks, evaluation methodology, and documenting findings.

Strong options

• Learn Prompting — AI Red Teaming & AI Security Masterclass — Probably my first choice for a team specifically focused on adversarial prompting. It was created by Sander Schulhoff, organizer of HackAPrompt, and covers prompt injection, jailbreaks, adversarial attacks, hands-on exercises, and defenses. They also offer an AIRTP+ certification and explicitly offer enterprise/team training.
• SANS SEC536: Adversarial AI — The strongest choice if your audience is already composed of professional security/red-team personnel. It is a hands-on course covering attacks against enterprise LLMs, RAG pipelines, ML models, and vision systems, with 10 hands-on labs.
• EC-Council COASP (Certified Offensive AI Security Professional) — More certification-oriented and broader than prompt hacking. It covers prompt injection, jailbreaks, agent hijacking, memory poisoning, model extraction, data poisoning, OWASP LLM Top 10 and MITRE ATLAS. Live online, in-person, and on-demand formats are available.
• DeepLearning.AI — Red Teaming LLM Applications — A good low-cost/on-ramp option. It's a roughly 80-minute beginner course using prompt injections against chatbot applications and introducing automated LLM red teaming with Giskard.
• Udemy — AI Red Teaming & LLM Hacking — A more tactical, inexpensive hands-on option covering direct/indirect prompt injection, jailbreaks, metaprompt extraction, multi-turn attacks and guardrail bypasses. It was updated in July 2026.
• Anthropos AI Academy — Adversarial AI — Interesting specifically for an organization building an internal red-team program. Its curriculum goes from prompt-injection defenses through attack techniques and automated jailbreak testing to actually establishing an internal AI-red-team practice.

What I'd choose for an internal program

I'd probably use a tiered approach rather than send everyone through one certification:

1. Everyone: DeepLearning.AI or equivalent fundamentals.
2. Core red-teamers: Learn Prompting's AI Security Masterclass/HackAPrompt ecosystem.
3. Security engineers: SANS SEC536 or COASP.
4. Then build your own internal exercises around your actual AI applications—RAG, agents, tool calls, sensitive data, system prompts, authorization boundaries, and multi-turn attacks.

The key distinction is that "adversarial prompting" is only one slice of AI red teaming. A mature team should learn to test the whole AI application attack surface, not merely find prompts that make a model say something it shouldn't.

If you're building this for an enterprise team, I can also compare 10–15 providers by price, duration, live vs. self-paced, hands-on labs, certification, enterprise/team delivery, and suitability for experienced penetration testers.

Yes. There’s now a fairly mature market for AI/LLM red-team training, ranging from prompt-hacking courses to full enterprise adversarial-AI programs.

Strong options for an internal AI Red Team

My shortlist

For an internal corporate AI Red Team, I'd investigate these three first:

1. SANS SEC536 — strongest choice if your team already operates like a conventional security/red-team organization and needs deep technical coverage. It goes well beyond "clever prompts."
2. Learn Prompting / HackAPrompt — probably the best fit if your immediate goal is specifically adversarial prompting, jailbreaks, and prompt-injection expertise. It also offers a certification path and enterprise training.
3. Hack The Box — attractive if you want practitioners to spend substantial time actually attacking systems rather than sitting through lectures.

I'd also use the OWASP GenAI Red Teaming Guide as your curriculum benchmark. OWASP's framework deliberately covers four dimensions—model evaluation, implementation testing, infrastructure assessment, and runtime behavior—so you don't accidentally build a team whose definition of "AI red teaming" is just jailbreak prompting.

One important distinction: if you're establishing a team, rather than simply training individuals, I'd favor training that covers prompt injection + RAG/context attacks + agent/tool abuse + automated evaluation + reporting/methodology. That's much closer to what an enterprise AI Red Team will actually need in 2026.

If you tell me roughly team size, technical level, and whether you want live instructor-led training or self-paced, I can narrow this to the 3–5 vendors I'd actually put through procurement.

Here are top web results for exploring this topic:

Palo Alto Networks·https://www.paloaltonetworks.com What Is AI Red Teaming? Why You Need It and How to Implement "An AI red team is essential to a robust AI security framework. It ensures that AI systems are designed and developed securely, continuously tested, and fortified against evolving threats in the wild. Zscaler·https://www.zscaler.com AI Red Teaming Explained: Why Modern Enterprises Need it Now Threat modeling is the foundation of an AI red team exercise. Teams identify critical assets—such as model architectures, training data, embeddings, and vector databases—as well as potential adversari Microsoft Learn·https://learn.microsoft.com AI Red Teaming Agent - Microsoft Foundry SuffixAppend, Appends an adversarial suffix to the prompt. StringJoin, Joins multiple strings together, often used for concatenation or obfuscation. UnicodeConfusable, Uses Unicode characters that loo Reddit·https://www.reddit.com Getting into AI red teaming what should beginners focus on? - Reddit Best Roadmap for Learning Power BI ? (Beginner). 3 upvotes · 6 comments. Anyone finished the AI Red Team? r/mercor_ai. • 7mo ago. Anyone finished the AI Red Team? 7 upvotes · 51 comments ... www.vynoxsecurity.com·https://www.vynoxsecurity.com/feeds/blog/ai-red-teaming What Is AI Red Teaming? Why You Need It and How to Implement What AI Red Teaming Actually Covers. AI red teaming covers far more than prompt hacking or jailbreaking. It spans two distinct but equally important dimensions: AI Security — model theft, data exfiltr Medium·https://medium.com AI Red Teaming in 2026: A Practical Guide to Prompt Hacking ...Every LLM system you build has an attack surface that extends far beyond the model weights — it includes the system prompt, the retrieval pipeline, the tools the agent can call, the memory it ... Refe GitHub·https://github.com GitHub - requie/AI-Red-Teaming-Guide Building Skills. Training Paths: Foundations. AI/ML fundamentals; Security principles; Adversarial ML basics; Prompt engineering. Intermediate. OWASP LLM Top 10; MITRE ATLAS framework; Attack tool usa ArmorStack·https://armorstack.ai**AI Red-Team** Exercises - ArmorStack AI Red-Team Exercises. Structured adversarial engagements that test how your deployed LLMs and agentic systems actually fail under attack — prompt injection, jailbreaks, data extraction, and supply-ch TrojAI·https://troj.ai What Is AI Red Teaming in Practice and Why It Needs to Be a Board ...Building the team. An effective AI red team is multidisciplinary and includes the following members: ML specialists to interpret model behavior and design targeted mitigations. Security engineers to c Aona AI·https://aona.ai What is AI Red Teaming? A Complete Guide for Enterprise Security ...AI red team methodologies are still rapidly evolving — prompt ... Many organisations augment internal teams with external AI red team specialists for independent ...

If you are standing up an internal AI Red Team, look for training that goes beyond “prompt tricks” and covers LLM attack methodology, prompt injection, jailbreaks, agent/tool abuse, threat modeling, evaluation methods, and reporting/remediation. Several providers offer relevant programs:

For an internal corporate AI Red Team, I would usually combine:

1. Foundations: LLM architecture, AI threat modeling, OWASP LLM Top 10, MITRE ATLAS.
2. Hands-on offense: prompt injection, jailbreaks, data exfiltration paths, RAG attacks, tool/agent manipulation.
3. Assessment operations: scoping tests, writing findings, severity scoring, retesting fixes.
4. Exercises: internal capture-the-flag events or controlled AI security assessments.

Also consider using community resources and frameworks from:

• OWASP — especially the LLM Application Security Top 10.
• MITRE — especially the ATLAS framework for adversarial ML techniques.

If your team is primarily security engineers, AI engineers, or trust & safety reviewers, the best training choice differs; the curricula are quite different.

Establishing an internal AI Red Team requires specialized training that covers direct/indirect prompt injection, multi-turn jailbreaking, and structured adversarial maneuvering against Large Language Models (LLMs).

Several reputable organizations, platforms, and industry leaders offer specialized training and masterclasses on adversarial prompting and AI red teaming:

• Learn Prompting (AI Red Teaming & AI Security Masterclass) : Co-created by prominent figures in the prompt-hacking space (featuring contributions from elite red teamers and researchers from OpenAI, Anthropic, and Google DeepMind), this hands-on course uses the HackAPrompt platform to train teams on prompt injections, jailbreaks, and adversarial tactics.
• GTK Cyber (AI Red-Teaming Course) : Provides dedicated virtual and on-site tactical training covering the full LLM attack surface—including prompt injection, indirect injection, RAG poisoning, and multi-turn extraction attacks—leveraging practical labs in an isolated Dojo environment.
• Antisyphon Training (Attacking, Defending, and Leveraging AI/LLM Systems) : A practical, hands-on technical course focused on real-world exploitation techniques like jailbreaks, system prompt leaks, escalation chains, and agent misuse mapped to MITRE ATLAS and the OWASP LLM Top 10.
• EC-Council (Certified Offensive AI Security Professional - COASP) : A formal certification path designed explicitly for offensive security practitioners to master red-teaming methodologies, bypass guardrails via prompt injection, and compromise AI agent frameworks.
• SANS Institute (SEC411: AI Security Principles and Practices) : Covers advanced prompt attack vectors (encoding/obfuscation, conversational-window exploitation, instruction manipulation) alongside RAG and agent security.
• Microsoft AI Red Teaming 101 : A foundational, modular public training series drawing from Microsoft’s internal red-teaming methodologies, covering direct/indirect prompt injection, risk identification, and open-source testing tooling like PyRIT.

If you'd like to narrow this down, tell me:

• What is your team's current technical background (e.g., traditional application pentest vs. machine learning engineering)?
• Do you prefer self-paced online learning, live cohort bootcamps, or private on-site corporate training?

Yes. There are several credible options, ranging from free vendor training to dedicated enterprise courses.

My recommendation for an internal AI Red Team

I'd build the program in three layers:

1. Foundation: Have everyone complete Microsoft's free AI Red Teaming 101 material. It gives the team common terminology and introduces PyRIT and adversarial-testing methodology.
2. Hands-on offensive training: For a serious security team, I'd shortlist SANS SEC536 and Learn Prompting's AI Red Teaming Masterclass. The latter is particularly aligned with prompt hacking/adversarial prompting and offers team training.
3. Internal practice: Establish a controlled lab where the team repeatedly tests prompt injection, indirect injection, jailbreaks, RAG poisoning, tool/agent abuse, data exfiltration, and multi-turn attacks, then validates mitigations. Microsoft's PyRIT and the broader ecosystem around Garak/promptfoo are useful here.

If your goal is specifically training an enterprise team rather than sending individuals to online courses, Learn Prompting and SANS would be my first two vendors to contact, with Microsoft as the free baseline.

If you tell me roughly how many people are on the team and their current skill level (AppSec/pentesting, data science, software engineering, etc.), I can narrow this to a 2–3 provider shortlist and compare cost, duration, hands-on depth, certification, and enterprise/team delivery.

Establishing an internal AI Red Team requires training that bridges traditional offensive security with natural language processing and machine learning vulnerabilities (such as direct/indirect prompt injection, multi-turn jailbreaking, and RAG poisoning).

Several reputable organizations, platforms, and industry leaders offer specialized training on adversarial prompting and AI red teaming:

• Microsoft AI Red Teaming Training & PyRIT
  Microsoft offers a foundational, modular AI Red Teaming Training Series geared toward security professionals and engineers. It covers direct and indirect prompt injection, single-turn and multi-turn adversarial techniques (like Skeleton Key and Crescendo attacks), and hands-on usage of Microsoft's open-source Python Risk Identification Tool (PyRIT).
• Learn Prompting (AI Security Masterclass)
  Learn Prompting provides a dedicated AI Red Teaming, Prompt Hacking & AI Security Masterclass. Using interactive platforms like the HackAPrompt playground, the course covers how to detect and execute prompt injections, jailbreaks, and adversarial attacks, preparing practitioners for practical evaluations.
• GTK Cyber
  GTK Cyber specializes in advanced technical training and offers dedicated AI Red-Teaming Courses alongside their AI Cyber Bootcamps (frequently hosted at major security conferences like Black Hat). Their curriculum dives deep into the LLM attack surface, RAG poisoning, and the Adversarial Robustness Toolbox mapped against the MITRE ATLAS framework.
• Antisyphon Information Security
  Antisyphon offers tactical, hands-on training such as Attacking, Defending, and Leveraging AI/LLM Systems . This course covers prompt injections, system prompt leaks, escalation chains, and agent misuse based on the OWASP LLM Top 10 and MITRE ATLAS, complete with capture-the-flag (CTF) challenges.
• OffSec (AI-300 / OSAI)
  OffSec features advanced certifications like the OffSec AI Red Teamer (OSAI) path. It involves rigorous 24-hour practical engagements testing real-world adversarial manipulation across complex enterprise AI deployments.
• Coursera & Academic Partners (NVIDIA, Stanford Online, and others)
  Platforms like Coursera host specialized programs including Secure AI: Red-Teaming & Safety Filters and NVIDIA's Exploring Adversarial Machine Learning . Additionally, institutions like Stanford Online offer high-level executive and technical AI Security Courses focusing on prompt defense verification and model vulnerability audits.

To help narrow down the best fit for your team, tell me:

• What is your team's current technical background (mostly traditional cybersecurity/pentesting vs. data science/ML)?
• Are you looking for free self-paced learning, live bootcamps , or formal certifications?