Certified AI Incident Response Analyst (CAIIRA) Certification Program by Tonex
The CAIIRA Certification Program by Tonex is designed to equip cybersecurity professionals with specialized skills to respond to AI-specific incidents. As AI systems are increasingly deployed in critical infrastructure and enterprise environments, they present new types of vulnerabilities—ranging from model exploitation to self-replicating logic loops and hallucination-based misinformation threats.
This course prepares learners to recognize, analyze, and mitigate such threats using structured response planning and forensic analysis tailored to AI behavior. It also covers legal obligations across U.S. and EU jurisdictions for AI incident disclosures. By completing this course, participants will become capable of handling complex AI incidents that can otherwise escalate into large-scale cybersecurity failures, data leaks, or reputational harm.
Audience:
- Cybersecurity Professionals
- AI Security Analysts
- Security Operations Center (SOC) Teams
- Incident Response Engineers
- Risk & Compliance Managers
- AI Product Security Leads
Learning Objectives:
- Understand AI-specific incident types and impact
- Learn to apply LLM forensic tools and methods
- Develop containment strategies for rogue AI behaviors
- Interpret legal requirements for AI incident reporting
- Design a proactive AI incident response plan
- Coordinate multi-team investigations for AI threats
Program Modules:
Module 1: AI Incident Taxonomy
- Classification of AI-specific incidents
- Taxonomy of hallucinations vs. manipulations
- Attack vectors unique to machine learning
- Human-in-the-loop vs. fully autonomous breach cases
- Indicators of compromise for AI systems
- Mapping AI incidents to standard IR frameworks
Module 2: LLM Forensics
- Capturing and analyzing model prompts and outputs
- Token-level anomaly detection
- Forensic analysis of vector embeddings
- Prompt injection detection and tracing
- Chain-of-thought leakage and tracing
- Logging best practices for LLM auditing
Module 3: Self-Replicating Model Loop Containment
- Understanding recursive model activation scenarios
- Isolation and shutdown procedures
- Preventing autonomous replication chains
- Cognitive architecture risk modeling
- Memory token overflow containment
- Case study: Loop escape in fine-tuned models
Module 4: Legal and Regulatory Response Protocols
- AI incident reporting laws (EU AI Act, GDPR)
- S. legal landscape and FTC expectations
- International data transfer considerations
- Liability frameworks for AI system failures
- Response coordination with legal teams
- Notification timelines and communication templates
Module 5: Incident Response Design for AI Systems
- Building AI-aware response teams
- Playbook creation for AI model exploits
- Integration with SOC and SIEM tools
- Alerting mechanisms for model behavior shifts
- Recovery and retraining post-incident
- Red-teaming feedback into IR cycles
Module 6: Post-Incident Remediation and Ethics
- Responsible disclosure strategies
- Ethics of rollback and data suppression
- Psychological risk of AI error recurrence
- Long-term containment and monitoring
- Incident documentation and learnings
- Stakeholder trust rebuilding after AI failures
Exam Domains:
- Foundations of AI Incident Response
- Threat Landscape of AI-Driven Systems
- AI Model Behavioral Forensics
- Legal, Compliance, and Ethical Considerations
- Strategic Response Planning and Coordination
- Recovery, Learning, and Future Readiness
Course Delivery:
The course is delivered through a combination of lectures, interactive discussions, and project-based learning, facilitated by experts in the field of AI and cybersecurity. Participants will have access to online resources, including readings, case studies, and strategic planning tools.
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 Incident Response Analyst (CAIIRA).
Question Types:
- Multiple Choice Questions (MCQs)
- Scenario-based Questions
Passing Criteria:
To pass the Certified AI Incident Response Analyst (CAIIRA) Certification Training exam, candidates must achieve a score of 70% or higher.
Stay ahead of evolving AI threats. Join the CAIIRA program and become a certified expert in responding to the most complex AI-specific cybersecurity incidents. Enroll now to lead the future of secure AI deployment.