AI Red Teaming and Adversarial Testing Corporate Training
Turn adversarial testing skill into your team's AI security advantage with hands-on, instructor-led labs.
Give your enterprise teams the red teaming capability that keeps AI systems safe. Edstellar's AI Red Teaming & Adversarial Testing corporate training helps your security, AppSec, and AI engineering teams probe models with prompt attacks, adversarial techniques, and structured test plans in hands-on labs. Delivered as hybrid training with instructor coaching, each session is customized to your threat landscape, with assessments that track capability.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a red-team-ready AI team
THE EDSTELLAR AI SECURITY CAPABILITY MODEL
Baseline red team skills
Skill checks and a skill matrix show where your team stands before module one.
Set one attack standard
Align everyone on one method: threat modeling, test plans, and scoring rules.
Practice adversarial labs
Run prompt attacks and adversarial tests in guided labs with instructor coaching.
Measure security lift
Re-run assessments and capstone reviews so leadership sees capability rise.
Scale the practice
Roll out one red teaming standard across security, AppSec, and AI teams.
Need more than one program?Get a group quote
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Program Overview: What is AI Red Teaming and Adversarial Testing Corporate Training?
AI Red Teaming & Adversarial Testing is Edstellar's instructor-led technical program for security engineers, AI practitioners, and red teamers who need to attack AI systems before attackers do. Participants learn AI threat models, prompt injection and jailbreak techniques, adversarial testing methods, red team methodology, and guardrail design. The program covers the full attack-and-defense cycle across six hands-on modules.
Training is hands-on from the first module. Participants execute prompt attacks, build adversarial test suites, and score findings by severity in guided labs built around realistic AI attack scenarios. Instructors coach them through threat modeling, test-plan writing, and remediation guidance, reviewing every exercise with direct feedback. The program closes with a capstone where each team runs a full AI red team exercise and presents a remediation plan.
AI systems ship with vulnerabilities nobody probed: prompt injections that bypass guardrails, models that leak through extraction attacks, outputs no one stress-tested. This program teaches security teams to think like adversaries, testing AI systems with repeatable methods before deployment. Every technique is practiced in labs, so the skills transfer to real engagements.
They run a full red team exercise against a target AI workflow and present severity-scored findings with a remediation plan. Your AI systems get attacked by your own team first, which beats meeting the attacker in production.
Teams deploying AI face prompt injection, data extraction, and misuse of model outputs, while ad hoc testing misses the gaps attackers find. This program teaches structured red teaming: threat modeling for AI, adversarial test plans, and repeatable scoring that makes scattered probing reliable security coverage.
The result: teams that test AI systems rigorously, report findings clearly, and harden models before release, reducing risk across every AI deployment you run.
What's Included in this Workshop for Your Enterprise Teams
- 1
Red team foundations for AI systems
Core attack concepts and AI threat models.
- 2
Hands-on adversarial testing labs
Guided labs on prompt attacks and adversarial tests.
- 3
Red team playbooks and checklists
Reusable test plans and scoring templates.
- 4
Expert security trainers
Learn from practitioners in AI security and red teaming.
- 5
Capstone red team exercise
Leave with a tested plan for your AI systems.
- Training delivered at any of your offices globally
- 10+ languages
- Schedule around your calendar
- Group size set along with you
- Run as one cohort or split into batches
- Instructor-led (virtual/onsite/hybrid)
- Recurring and annual options
- Trainer sourcing, matching and logistics
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Hands-On Labs on Live Infrastructure, Led by Industry Experts
AI Red Teaming and Adversarial Testing Course Topics and Program Outline
A 20-hour technical program across six modules: instructor-led sessions with five hands-on labs on AI attack techniques, adversarial testing, and red team methodology, closing with a capstone where your team runs a full red team exercise on an AI workflow.
Built by Edstellar with AI security trainers
Built by practitioners in AI security and red teaming, with coaching on every hands-on lab your teams complete.
Baseline each participant's AI security readiness before module 01 begins
Build strong adversarial testing foundations in instructor-led sessions for your team
Reinforce skills through guided hands-on labs on live red teaming exercises
Apply AI red teaming skills to real-world scenarios and a capstone attack-simulation project
A short pre-training assessment sets each participant's entry level, so the program starts where your team actually is. The rest is weighted toward hands-on practice: live attack simulations and red teaming exercises, and realistic scenarios drawn from your team's work, not slides.
Delivered as
Entry level set by the assessment. Depth and schedule customized to your team.
Map how AI fits your stack today and complete the baseline skills check.
learna)How AI systems can be attacked
b)AI threat models
c)Safe rules for red team labs
d)Baseline skills check
Run prompt injection and jailbreak attempts against a target model in a guided lab.
practicea)Anatomy of a prompt attack
b)Injection and jailbreak patterns
c)Testing model boundaries
d)Documenting findings
Probe a model with adversarial inputs and score each finding by severity.
practicea)Adversarial input techniques
b)Model extraction and misuse tests
c)Scoring findings by severity
d)Building repeatable test suites
Write a scoped adversarial test plan for a real AI use case from your roadmap.
practicea)AI threat modeling basics
b)Scoping a red team engagement
c)Writing adversarial test plans
d)Planning a real use case
Build a guardrail for a practiced attack, then retest to prove it holds.
practicea)Guardrails and input filters
b)Output checks and monitoring
c)Writing remediation guidance
d)Retesting and residual risk
Present your scoped red team exercise, findings, and remediation plan for review.
applya)Scoping the target workflow
b)Executing adversarial tests
c)Scoring and reporting findings
d)Presenting the remediation plan
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Skills your team will gain
Your team leaves with practical red teaming abilities they use on every AI deployment, from probing models with hostile prompts to reporting risk leaders can act on.
Probe AI with hostile prompts
Craft prompt attacks that reveal how models behave under pressure, and document exactly which inputs break their guardrails.
Run adversarial tests
Apply adversarial input techniques, extraction probes, and misuse scenarios to find weaknesses before attackers exploit them in production.
Score findings by severity
Rate vulnerabilities with repeatable scoring so security and engineering teams agree on what to fix first and what risk remains.
Write AI red team test plans
Scope engagements, choose attack techniques, and build test plans your whole security team can run against any AI system you ship.
Design guardrails that hold
Build input filters, output checks, and monitoring that blunt real attacks, then retest fixes to prove they work.
Report risk to stakeholders
Turn technical findings into clear remediation guidance and residual-risk reports that leaders can read and approve.
Scale the red team habit
Embed adversarial testing into release cycles so every AI deployment gets tested before it reaches your users.
Teams that Benefit from this AI Red Teaming and Adversarial Testing Group Training
This program is built for security, AppSec, AI engineering, and risk teams who ship AI systems and need them tested like attackers test them. Content adapts to role and experience, so each cohort practices red teaming on the AI workflows they actually own.
Find AI weaknesses before attackers do.
Security engineers and red teamers learn structured adversarial testing: prompt attacks, extraction probes, and severity scoring. They leave with plans that turn ad hoc probing into reliable coverage.
Workflow friction
- Ad hoc probing misses model gaps
- No shared scoring for AI findings
- Attack techniques evolve too fast
How the program helps
- Run structured adversarial test plans
- Score findings with one shared scale
- Keep playbooks current with new attacks
Practice use cases
- Prompt attack labs
- Extraction probes
- Severity scoring
- Test plan drills
Ship AI features with tested defenses.
Application security teams learn to threat-model AI features, test integrations for injection and misuse, and write remediation guidance developers can act on before release.
Workflow friction
- AI features ship without testing
- Injection risks in AI integrations
- Developers unsure how to fix findings
How the program helps
- Threat-model AI features early
- Test integrations for injection
- Write fixes developers can apply
Practice use cases
- Threat modeling labs
- Injection testing
- Remediation writing
Build models that survive red teams.
AI engineers and ML practitioners learn how attackers break models so they can design guardrails, harden prompts, and retest fixes. They practice the defense side of every attack technique.
Workflow friction
- Models break under hostile prompts
- Guardrails added as an afterthought
- Retesting fixes takes too long
How the program helps
- Design guardrails that hold up
- Harden prompts against attacks
- Retest fixes quickly in labs
Practice use cases
- Guardrail design labs
- Prompt hardening
- Fix retesting
Govern AI risk with real evidence.
Governance, risk, and compliance teams learn what adversarial testing proves about AI risk, how to read red team reports, and how to set testing expectations across AI programs.
Workflow friction
- AI risk claims lack evidence
- Red team reports hard to read
- No testing standard across programs
How the program helps
- Demand evidence-backed AI risk
- Read red team reports clearly
- Set one testing standard
Practice use cases
- Report reading labs
- Risk scoring
- Standard setting
Each cohort works through role-relevant scenarios, then leaves with reusable patterns for day-to-day work.
Prerequisites: This program benefits security engineers, penetration testers, and AI practitioners responsible for model safety. Familiarity with basic AI concepts and security testing helps but is not required. Content adapts to each cohort's experience, from first red team exercises to mature adversarial programs.
From manual security checks to structured AI red teaming
AI Foundations for Red Teams frames the threat landscape for AI specifically. Practice modules build attacker craft step by step: prompt attacks and injection techniques, adversarial testing of models, red team methodology and test plans, and defenses, guardrails, and remediation. The capstone runs a full AI red team exercise end to end.
Security teams grow from ad-hoc probing into running disciplined red team campaigns against AI systems.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Every mode is instructor-led and tailored to your threat landscape and AI stack before delivery. The curriculum, hands-on labs, assessments, and capstone stay the same across hybrid, onsite, and live virtual formats, so capability is consistent however you run it.
Hybrid Training
Live instruction plus supervised hands-on labs, across onsite and virtual sessions. Your team runs prompt attacks and adversarial tests with instructor coaching. Best for technical practice with scheduling flexibility.
- Live instruction across onsite and virtual sessions
- Guided labs with instructor coaching on your roles
- Practice red team tasks in real time
- Best for flexible schedules with real hands-on practice
Onsite Training
Your instructor delivers at your facility with labs set up for your team. Every participant practices red team techniques with coaching. Best for co-located teams wanting maximum interaction.
- Instructor delivers at your facility
- Labs built around your AI stack and threat model
- Practice red team workflows together
- Best for co-located teams wanting maximum interaction
Live Virtual Training
Live virtual sessions run instructor-led on your preferred platform. Your team joins guided red team labs, breakout exercises, and real-time reviews with the instructor. Ideal for distributed teams needing hands-on practice without travel.
- Live instructor-led sessions on your platform
- Guided labs with breakout troubleshooting
- Screen-shared work reviews in real time
- Ideal for distributed teams across locations
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share team size, preferred dates, and delivery mode in the lead form. We reply with a tailored proposal covering scope, schedule, and pricing.
Yes. Book a short discovery call and we will map your training needs, audience, and timelines before sharing a plan.
Yes. Live virtual sessions run instructor-led on your preferred platform, with breakout labs, exercises, and real-time feedback.
Yes. We deliver onsite at your offices, with the labs and exercises adapted to your AI stack and security workflows.
The standard program runs 20 hours across six modules. Duration can be adjusted to fit your schedule, from focused sessions to multi-day formats.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
Red teaming AI is the third step because your team first needs to know AI risks and how LLM applications are protected. Attacking your own models then shows where defences fail, and those findings shape the guardrails and evaluation work that come next.
Why Choose Edstellar as Your Corporate Training Provider for AI Red Teaming and Adversarial Testing Course
As your training partner, we make comparing providers simple: share your training needs and we shape this red teaming program around your AI systems, timelines and delivery mode. You get a matched trainer profile, deep AI security expertise, and a plan your leaders can approve with confidence.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Content shaped around your adversarial testing and attack use cases, so every session maps to your real red team needs.
Proven Methodology
5+ years delivering corporate training to red team and product security teams across industries and regions.
Practice-Based Learning
5 hands-on labs across 6 modules. Your team builds attack scenarios and remediation test plans with instructor guidance.
Expert Trainers
5,000+ certified trainers matched to your AI red teaming stack, with a full trainer profile shared before your program is booked.
Global Scale
One AI red teaming program across your offices worldwide, in hybrid, onsite, or live virtual.
Measurable Outcomes
Baseline-to-capstone measurement and Skills Matrix reporting keep your AI red teaming capability lift visible.
Test AI Adversarial Resilience Through Scoped Exercises and Verified Remediation
Edstellar helps security teams connect adversarial testing with clear scope, severity judgments, and actionable remediation. Participants probe lab models, document weaknesses, and test guardrails against previously observed failures. A complete red-team exercise brings findings and responses together, with review of reproducibility, risk communication, and the evidence behind mitigation claims.
- Step 01
Consult
We review AI exposure and testing experience to identify needs in adversarial scope, prompt-injection testing, severity assessment, guardrail validation, and reporting.
- Step 02
Plan
We connect AI red-team foundations with prompt-based and model testing, then develop scoped plans and retest defenses before presenting a complete exercise.
- Step 03
Align
We align instruction with security and AI practitioners’ experience, restricting testing to authorized lab targets and making boundaries and evidence requirements clear.
- Step 04
Customize
We tailor target-model scenarios, test objectives, and reporting cases to familiar AI uses while preserving reproducible observations, severity criteria, and controlled remediation checks.
- Step 05
Execute
Participants run bounded adversarial tests, score findings, and retest guardrails, receiving feedback on reproducibility, risk reasoning, and whether the defense addresses the observed weakness.
- Step 06
Evaluate
We assess the exercise for clear scope, supported findings, defensible severity ratings, and remediation evidence that distinguishes fixed issues from remaining vulnerabilities.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
AI Red Teaming & Adversarial Testing Training Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request AI Red Teaming and Adversarial Testing Training for Your Team
Tell us your team size, AI systems in scope, and preferred delivery mode. We will confirm availability and respond with a tailored training plan covering scope, schedule, and pricing.