AI Red Teaming and Agent Security Testing Training in Ontario

AI Red Teaming and Agent Security Testing Training in Ontario, Canada

Learn to systematically attack AI agents and secure them against adversarial threats. This course covers red teaming methodologies for AI systems.

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AI Red Teaming and Agent Security Testing Training is a professional training program delivered by ProgNXT in Ontario, Canada. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this AI Red Teaming and Agent Security Testing Training course with hands-on, instructor-led sessions. This training provides a comprehensive understanding of AI red teaming and agent security testing. Participants will learn to identify...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: AXY15
21Hrs
Last Updated: July 2026

Course Rating5/5

This training provides a comprehensive understanding of AI red teaming and agent security testing. Participants will learn to identify vulnerabilities in AI agents, simulate adversarial attacks, and implement defensive strategies. The course covers prompt injection, model poisoning, data extraction, and agent manipulation techniques, preparing professionals to secure AI systems in production environments.

Welcome to the official AI Red Teaming and Agent Security Testing Training certification program in Ontario, Canada. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic understanding of artificial intelligence and machine learning concepts
Familiarity with Python programming
Knowledge of cybersecurity fundamentals
Experience with command-line interfaces and scripting

Upon completion, participants will be able to systematically attack and defend AI agents using industry-standard red teaming techniques. They will gain practical skills in identifying vulnerabilities, simulating adversarial scenarios, and implementing robust security measures, enabling them to secure AI systems in enterprise environments.

Proficiency in AI red teaming methodologies
Ability to simulate adversarial attacks on AI agents
Skills in securing AI systems against common threats
Competence in using open-source red teaming tools
Knowledge of AI security best practices and frameworks
Capability to conduct comprehensive agent security assessments

Understanding AI agent architectures and attack surfaces
Identifying prompt injection vulnerabilities
Analyzing model poisoning and backdoor attacks
Assessing data extraction and inversion risks
Evaluating agent manipulation and jailbreak techniques
Testing for adversarial robustness
Implementing security controls and mitigation strategies

Participants who successfully complete the training will receive an ProgNXT Certification in AI Red Teaming and Agent Security Testing Training, validating their expertise in AI red teaming methodologies, agent security testing, and defensive strategies.
This certification demonstrates proficiency in identifying and mitigating adversarial threats to AI systems.
Certification is recognized by industry leaders and enhances career opportunities in AI security.

Introduction to AI Red Teaming and Agent Security

Overview of AI red teaming and its importance
Understanding AI agent architectures and attack surfaces
Ethical and legal considerations
Red teaming frameworks and methodologies

Hands-on exercises

Threat Modeling for AI Systems

Identifying assets and threat actors
Mapping attack vectors for AI agents
Risk assessment and prioritization
Creating threat models for agent interactions

Hands-on exercises

Prompt Injection and Jailbreak Techniques

Direct and indirect prompt injection
Jailbreaking large language models
Defensive prompt engineering
Testing for injection resilience

Hands-on exercises

Model Poisoning and Backdoor Attacks

Data poisoning techniques
Backdoor insertion in models
Detection and mitigation strategies
Evaluating model integrity

Hands-on exercises

Data Extraction and Inversion Attacks

Membership inference attacks
Model inversion and extraction
Data leakage prevention
Privacy-preserving techniques

Hands-on exercises

Agent Manipulation and Adversarial Attacks

Manipulating agent behavior
Adversarial examples for AI agents
Evasion and impersonation attacks
Testing agent robustness

Hands-on exercises

Security Controls and Defensive Strategies

Input validation and sanitization
Rate limiting and anomaly detection
Secure agent deployment practices
Incident response for AI systems

Hands-on exercises

Red Teaming Tools and Automation

Overview of open-source red teaming tools
Automating attack simulations
Reporting and documentation
Continuous security testing

Hands-on exercises

Case Studies and Real-World Scenarios

Analyzing real-world AI security incidents
Applying red teaming to industry use cases
Lessons learned and best practices
Developing a security roadmap for AI agents

Hands-on exercises

Final Assessment and Review

Comprehensive review of key concepts
Practical red teaming challenge
Feedback and Q&A
Next steps for continued learning

Hands-on exercises

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Target Audience

Cybersecurity professionals and penetration testers
AI and machine learning engineers
Security architects and consultants
IT managers and system administrators

Evaluation

Continuous assessment through hands-on exercises
Final practical red teaming challenge
Written knowledge check
Instructor feedback and evaluation

AI Red Teaming and Agent Security Testing Training Events in ontario

Online Events

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More Upcoming Session Dates

October 2026

📍 Ontario, Canada

26th Oct 2026→28th Oct 2026

🌐 Online Instructor-Led

28th Oct 2026→30th Oct 2026

November 2026

📍 Ontario, Canada

6th Nov 2026→8th Nov 2026

🌐 Online Instructor-Led

11th Nov 2026→13th Nov 2026

🌐 Online Instructor-Led

18th Nov 2026→20th Nov 2026

📍 Ontario, Canada

27th Nov 2026→29th Nov 2026

December 2026

📍 Ontario, Canada

3rd Dec 2026→5th Dec 2026

🌐 Online Instructor-Led

8th Dec 2026→10th Dec 2026

🌐 Online Instructor-Led

19th Dec 2026→21st Dec 2026

📍 Ontario, Canada

28th Dec 2026→30th Dec 2026

Events for other courses in Ontario, Canada

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AI Red Teaming and Agent Security Testing Training in Ontario