Certified AI Red Team Professional (CAIRTP) Certification Program by Tonex

The Certified AI Red Team Professional program equips practitioners to probe, stress, and harden AI systems and LLM-driven workflows. You will learn how offensive testing uncovers hidden failure modes in prompts, data pipelines, and multi-agent orchestration, then translate findings into resilient defenses aligned with OWASP Top 10 for LLMs and MITRE ATLAS.
This program strengthens cybersecurity by exposing real attack paths before adversaries exploit them. It elevates cybersecurity readiness across development and operations by embedding threat-driven validation into AI lifecycles. It advances cybersecurity governance with evidence-based controls, red-team reports, and measurable risk reduction.
Learning Objectives
- Identify, reproduce, and prioritize prompt injection and jailbreak patterns
- Detect data poisoning signals and safeguard training and retrieval pipelines
- Evaluate adversarial example risks against classifiers and generative models
- Map findings to MITRE ATLAS techniques and OWASP LLM categories
- Test RAG, vector stores, and tool-use chains for abuse and leakage
- Communicate risk in clear remediation narratives for executives and engineers
- Strengthen cybersecurity posture with continuous AI threat validation
Audience
- Cybersecurity Professionals
- AI/LLM Engineers and Architects
- Red Team and Blue Team Members
- Risk, Compliance, and Governance Leaders
- Product Managers and Technical Program Managers
- Data Scientists and MLOps Engineers
Course Modules
Module 1: Prompt Threats
- Taxonomy of injections and jailbreaks
- Output steering and role confusion
- Guardrail bypass pattern families
- Safety policy drift detection
- Response containment tactics
- Reporting impact with evidence
Module 2: Data Poisoning
- Threat models for training and RAG
- Trigger design and backdoor cues
- Corpus curation and provenance checks
- Ingest pipeline hardening
- Detection via differential testing
- Incident triage and rollback
Module 3: Adversarial Inputs
- Token-level and semantic attacks
- Perturbation strategies and goals
- Robustness evaluation metrics
- Content filtering failure analysis
- Defense-in-depth layering
- Residual risk articulation
Module 4: RAG and Vectors
- Retrieval leakage paths
- Index pollution and drift
- Embedding abuse and collisions
- Query rewriting pitfalls
- Chunking, access, and scopes
- Red-blue validation loop
Module 5: Multi-Agent Risks
- Tool-use abuse scenarios
- Delegation loops and escalation
- Message routing and context bleed
- Capability scoping and sandboxing
- Safe action policies and stops
- Postmortem patterns and fixes
Module 6: Frameworks and Ops
- OWASP LLMs alignment practices
- MITRE ATLAS technique mapping
- Policy, logging, and traceability
- Continuous evaluation pipelines
- Metrics, SLAs, and reporting
- Executive readouts and roadmaps
Exam Domains
- AI Threat Modeling Fundamentals
- Prompt Injection and Guardrail Evasion
- Data Integrity and Poisoning Defense
- Adversarial Input Robustness
- RAG and Vector Security Controls
- Governance, Monitoring, and Response
Course Delivery
The course is delivered through a combination of lectures, interactive discussions, and project-based learning, facilitated by experts in the field of Certified AI Red Team Professional (CAIRTP). Participants will have access to online resources, including readings, case studies, and tools for practical exercises.
Assessment and Certification
Participants will be assessed through quizzes, assignments, and a capstone project. Upon successful completion of the course, participants will receive a certificate in Certified AI Red Team Professional (CAIRTP).
Question Types
- Multiple Choice Questions (MCQs)
- Scenario-based Questions
Passing Criteria
To pass the Certified AI Red Team Professional (CAIRTP) Certification Training exam, candidates must achieve a score of 70% or higher.
Ready to lead AI security from offense to defense Join the Certified AI Red Team Professional program by Tonex and elevate your organization’s resilience today.