Become CompTIA SecAI+ Certified in Just 5 Days
Live instructor-led training, official courseware, hands-on labs, exam vouchers, and a free retake — all in one package.
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CompTIA SecAI+ Certification (CY0-001) Boot Camp
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Course Description
Description
CompTIA SecAI+ helps IT and cybersecurity professionals build the practical knowledge needed to secure artificial intelligence systems and apply AI responsibly in modern security operations. As organizations rapidly adopt generative AI, machine learning, automation, and AI-powered security tools, the demand for professionals who understand both AI security and cybersecurity operations continues to grow.
CompTIA SecAI+ is the IT industry’s first comprehensive expansion certification focused on securing AI technologies, managing AI-related cyber risk, and using artificial intelligence to strengthen threat detection, incident response, security monitoring, and enterprise defense. The certification validates vendor-neutral skills that can be applied across cloud, on-premises, hybrid, and multi-vendor environments.
This CompTIA AI security certification prepares professionals to understand how AI systems work, identify vulnerabilities in AI models and data, protect sensitive information, defend against AI-driven threats, and support the ethical, secure, and compliant use of artificial intelligence across an organization. Learners gain a foundation in AI governance, risk management, adversarial AI, machine learning security, data protection, and AI-enabled cybersecurity tools.
Why CompTIA SecAI+ Matters
AI is changing the cybersecurity landscape. Security teams must now protect not only networks, endpoints, identities, cloud workloads, and applications, but also AI models, training data, prompts, APIs, automated workflows, and AI-enabled business processes.
CompTIA SecAI+ gives cybersecurity professionals the skills to help organizations:
- Secure AI and machine learning systems against cyber threats and misuse.
- Identify AI-specific risks, including data poisoning, prompt injection, model manipulation, and unauthorized data exposure.
- Apply AI tools to improve security analytics, threat intelligence, detection engineering, incident response, and vulnerability management.\
- Support responsible AI adoption through governance, privacy, compliance, security policies, and ethical AI practices.
- Communicate AI security risks and controls to technical teams, leadership, compliance stakeholders, and business decision-makers.
- Build career-ready, vendor-neutral knowledge for emerging roles in AI cybersecurity, security operations, cloud security, governance, risk, and compliance.
CompTIA SecAI+ is designed for IT and cybersecurity professionals who want to stay ahead of the evolving AI security landscape and help their organizations adopt artificial intelligence securely, responsibly, and with confidence.
Prerequisites
This is equivalent to 3–4 years of IT experience with approximately 2 years of hands-on cybersecurity experience.
Why Choose Us
CAREER CAMPS DIFFERENCE
Career Camps provides an in-depth hands on learning environment. Our instructors teach using demonstrations and explain concepts beyond the scope of the courseware. The best instructors are contracted from all across the US. These professionals are real world consultants who actually implement these technologies. Career Camps knows our clients work in the “real world” and it only makes sense to have an instructor with the experience in the real world.
Facilities – Many of our competitors over-crowd classrooms by placing 2 to 3 students per desk and 20+ students per instructor. Often these companies “extend” the life of very old equipment with slow performance on the software used today. Our average class size is 8 students. Our facilities have the best equipment with the most comfortable, focused environment for learning.
Instructors – Our CEO holds one of the rarest Microsoft Certifications – the Microsoft Certified Learning Consultant (MCLC) Certification. This certification reflects a commitment to make sure our instructors are also actively engaged in real world consulting projects. Students expect a professional who can answer questions and demonstrate the technology.
Face to Face Training – We believe the best way to interact and learn is face to face training.  Many of our competitors which offer local training are simply providing students with headphones/mic to attend class with an instructor at a remote location.
Test Pass – We offer a free retake voucher (if needed) for each of the exams required for certification. Any training center offering a “100% pass guarantee” would have to use unethical practices or unlimited test vouchers (which is not likely or practical).
Distractions – Students often look for a “local” training center so they can be close to home and work. Boot camp requires a tremendous time commitment during the program. Long class hours combined with self study each evening. The goal of boot camp is to achieve certification in a fraction of the time. We strongly recommend students attend camp away from home and work in a focused, distraction free environment.
Boot Camp – Boot camp is an accelerated training focused on teaching technology and testing students on the official exams. Most training providers “added” boot camps to the existing standard training classes they offer.  These training centers think a boot camp is just a regular class where you send the student home with a voucher on the last day.  Career Camps  administers exams throughout the camp. Equally important – not every trainer can teach a boot camp and not all courseware is designed for boot camp format.  Our trainers know the boot camp format and our courseware is designed for accelerated learning.
Florida – Career Camps has one of the most scenic locations boasting some of the best weather in US. We believe students should have a comfortable and inviting atmosphere while attending these otherwise intense programs. We place our location, facilities and amenities up against that any competitor.
What You'll Learn
- Apply foundational and advanced AI concepts to strengthen organizational cybersecurity.
- Implement robust security controls and best practices for protecting AI systems and data.
- Leverage AI-driven tools to enhance threat detection, response, and automation of security operations.
- Navigate global governance, risk, and compliance frameworks to ensure responsible AI adoption.
Course Outline
Module 1 — AI and Data Concepts for Cybersecurity
- AI concepts and core AI types
- Generative AI and transformers
- Machine learning and deep learning
- Natural language processing
- AI model training approaches
- Prompt engineering fundamentals
- Model security considerations
- AI data types and data security techniques
- RAG (Retrieval Augmented Generation) concepts
- Data integrity and processing controls
Module 2 — Threat Modeling and Securing AI Systems
- AI threat modeling fundamentals
- Threat modeling processes and prerequisites
- AI threat modeling frameworks
- AI security control types
- Model guardrails and prompt templates
- Gateway and interface controls
- Usage quotas and limitation controls
- Security control testing
Module 3 — Access Controls for AI
- AI access control principles and models
- Model and agent access controls
- API and network access security
- AI data security controls
- Encryption and data safety measures
- Monitoring and logging AI systems
- Performance and cost monitoring
- AI auditing and compliance monitoring
Module 4 — AI Threats and Compensating Controls
- AI lifecycle security
- Ethical AI design considerations
- AI attack types and techniques
- Backdoor and trojan model attacks
- Model poisoning and inversion
- Model theft risks
- Compensating control strategies
- Post-incident AI analysis
Module 5 — Leveraging AI in Security Operations
- AI-enabled security tools
- AI use cases in detection and analysis
- AI for vulnerability assessment
- AI-enhanced attack vectors
- AI for social engineering and deception
- AI reconnaissance techniques
- AI-driven automation
- AI in DevSecOps workflows
- AI scripting and summarization
Module 6 — AI Governance, Risk, and Compliance
- AI governance structures
- AI organizational roles
- Responsible AI principles
- AI risk identification and assessment
- AI regulatory themes
- Compliance frameworks for AI
- Organizational AI policy design
- Compliance reporting
Frequently Asked Questions
What is CompTIA SecAI+ and what does it cover?
CompTIA SecAI+ is designed to help cybersecurity professionals understand how artificial intelligence is developed, secured, governed, and used within security operations. The training covers AI and machine learning concepts, generative AI and transformers, prompt engineering, RAG, AI threat modeling, access controls, AI-specific attacks, security operations, automation, AI governance, risk, and compliance.
What will I learn in a CompTIA SecAI+ training course?
You will learn how to identify and secure AI systems throughout their lifecycle. Topics include AI models and data security, generative AI, prompt engineering, RAG architectures, AI threat modeling, model and agent access controls, encryption, monitoring and logging, model poisoning, backdoor attacks, model theft, AI-enabled security operations, DevSecOps, AI governance, and compliance.
What are the most common AI security threats cybersecurity professionals need to understand?
AI security threats can include model poisoning, backdoor and Trojan model attacks, model inversion, model theft, malicious inputs, data exposure, and attacks against AI-enabled applications and agents. Security professionals also need to understand compensating controls and how to analyze AI systems after a security incident.
Who should take CompTIA SecAI+ training?
SecAI+ training is well suited for cybersecurity professionals, security analysts, engineers, administrators, IT professionals, security managers, developers working with AI-enabled applications, and professionals responsible for AI security, risk, governance, or compliance. It can also benefit organizations integrating generative AI, machine learning, AI agents, or AI-enabled security tools into their environments.
How does SecAI+ help cybersecurity professionals secure AI throughout its lifecycle?
The course approaches AI security as a lifecycle rather than a single security control. Students examine security considerations involving AI data, model development and training, deployment, access controls, monitoring, threat detection, incident analysis, governance, and compliance.
What is prompt engineering and why is it relevant to cybersecurity?
Prompt engineering involves designing and structuring instructions that guide an AI model toward useful and controlled outputs. In cybersecurity, prompt engineering can support security analysis and automation, while secure prompt design, templates, guardrails, and input controls can help reduce risks associated with malicious or unintended model behavior.
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