CompTIA SecAI+ Bootcamp
For security professionals who now have to protect AI systems and use AI responsibly: AI fundamentals, adversarial threats to models and data, securing LLM applications, AI-assisted SOC work and AI governance and compliance.
- Duration
- 5 weeks
- Format
- Live online + self-study
- First class
- Free, no obligation
- Level
- Security+ level recommended
- Schedule
- Evenings, US time zones
- Lectures
- 10 (notes · lab · quiz)
- Exam
- CompTIA CY0-001
- Exam details
- 60 min · max 60 questions
- Tuition
- $400 per student, batch of 3 to 5 · payment plans
What you'll master.
Basic AI Concepts Related to Cybersecurity
- AI, ML and LLM fundamentals
- The AI lifecycle
- AI terminology for security teams
Securing AI Systems
- Adversarial attacks on models and data
- Securing LLM applications
- Securing AI deployments and supply chains
AI-assisted Security
- AI in detection and triage
- AI for threat intelligence and automation
- Limits and risks of AI in the SOC
AI Governance, Risk, and Compliance
- AI risk management frameworks
- Regulation and compliance
- AI policy and auditing
The complete 10-lecture path.
Every lecture includes a live class, self-study notes, an exam-style CLI lab and a 10-question Cisco-style quiz.
01AI Concepts for Security Professionals
- AI, machine learning and deep learning (Domain 1)
- LLMs and generative AI (Domain 1)
- Training, inference and model types
- Key AI terminology
LAB Map AI components in a sample application
02The AI Lifecycle & Attack Surface
- Data collection, training and deployment (Domain 1)
- Where AI systems are exposed
- Shared responsibility for AI services
- Threat modeling AI systems
LAB Threat-model an AI chatbot
03Adversarial Threats to AI
- Evasion and adversarial examples (Domain 2)
- Data poisoning (Domain 2)
- Model inversion and extraction (Domain 2)
- Real-world AI incidents
LAB Classify attacks on AI systems
04Securing Data & Models
- Protecting training data (Domain 2)
- Model access control and integrity (Domain 2)
- Preventing data leakage
- Model and dataset provenance
LAB Lock down a model and its training data
05Securing LLM Applications
- Prompt injection and jailbreaks (Domain 2)
- Guardrails and output filtering (Domain 2)
- Least privilege for AI tools and agents
- Logging and monitoring LLM apps
LAB Harden an LLM application
06Securing AI Deployments & Supply Chain
- Securing AI infrastructure and APIs (Domain 2)
- Third-party models and libraries (Domain 2)
- Monitoring AI systems in production
- Incident response for AI systems
LAB Assess an AI vendor and deployment
07AI-assisted Detection & Triage
- AI in SIEM and alert triage (Domain 3)
- Anomaly detection (Domain 3)
- Reducing false positives
- Validating AI findings
LAB Triage alerts with AI assistance
08AI for Threat Intelligence & Automation
- AI-assisted threat intelligence (Domain 3)
- Automating response with AI (Domain 3)
- AI in offensive security testing
- Risks of over-reliance on AI
LAB Automate a phishing-analysis workflow
09AI Risk Management & Compliance
- AI risk management frameworks (Domain 4)
- Regulations affecting AI (Domain 4)
- Privacy and data protection
- Documenting AI risk
LAB Build an AI risk register
10AI Governance, Policy & Final Review
- AI governance structures (Domain 4)
- Acceptable-use policies and audits (Domain 4)
- Full-domain review
- Practice exam
LAB Capstone: AI security program plan
By the end you will
- Explain how AI systems work and where they are vulnerable
- Apply controls against prompt injection, data poisoning and model theft
- Use AI tools to speed up detection and response
- Build AI governance aligned to recognized frameworks
Roles this prepares you for
Includes resume review, LinkedIn optimization and mock interviews focused on the US job market.
Ready to start CompTIA SecAI+?
Book a free consultation. We will confirm the next start date in your time zone and walk you through tuition and payment plans.