CompTIA SecAI+
Exam Code : CY0-001 v1
CompTIA SecAI+ is a foundational, vendor-neutral certification designed to validate knowledge of artificial intelligence security and the secure use of AI systems. The course covers core concepts such as AI and machine learning fundamentals, data integrity, model security, adversarial AI threats, risk management, governance, and ethical considerations. It focuses on how AI can both strengthen cybersecurity operations and introduce new risks, preparing learners to assess, deploy, and protect AI-enabled systems responsibly. SecAI+ is ideal for cybersecurity professionals, IT practitioners, and AI-adjacent roles who want to understand how to secure AI technologies and align them with organizational security and compliance requirements.
Program Overview
The CompTIA SecAI+ program provides a comprehensive introduction to securing artificial intelligence systems in modern IT and cybersecurity environments. It covers essential AI and machine learning concepts, data security, model protection, and common AI-specific threats such as data poisoning and adversarial attacks. The program also emphasizes risk management, governance, compliance, and ethical use of AI, ensuring learners understand both the technical and policy aspects of AI security.
Designed for cybersecurity professionals, IT practitioners, and technology leaders, the program bridges the gap between AI innovation and security best practices. Through real-world scenarios and practical insights, SecAI+ prepares learners to assess, deploy, and manage AI-enabled systems securely, helping organizations adopt AI technologies with confidence and responsibility.
Why Join this Program
High-Demand Skills – Learn how to secure AI systems and manage emerging AI-driven cyber threats.
Career Advancement – Earn a globally recognized, vendor-neutral certification that boosts your professional credibility.
Practical Knowledge – Gain hands-on understanding of AI risks, governance, ethics, and secure deployment practices.
Future-Ready Advantage – Stay ahead in cybersecurity by mastering skills essential for AI-enabled organizations.
Corporate Training
CertCop offers tailored group training programs designed for organizations, teams, and institutions aiming to build strong cybersecurity capabilities at scale. Our corporate training solutions focus on real-world skills, hands-on learning, and certification readiness, helping teams stay ahead of evolving threats and technologies. With flexible delivery options—including virtual, on-site, and customized programs—we ensure training aligns with your business goals, technical requirements, and workforce development needs.
What Skills Will You Learn?
1. AI Fundamentals for Cybersecurity
Understand how AI, machine learning, and generative AI are used in security environments
Interpret AI models, prompts, and outputs from a security perspective
2. Securing AI Systems
Apply security controls to protect AI models, data, agents, and APIs
Design and enforce AI guardrails, prompt firewalls, and access controls
3. AI Threat Modeling & Attack Analysis
Identify and analyze AI-specific attacks such as prompt injection, poisoning, jailbreaking, and model theft
Use industry frameworks like OWASP, MITRE ATLAS, and MIT AI Risk resources
4. Data Security for AI
Protect sensitive data used in AI systems
Implement encryption, anonymization, masking, minimization, and classification strategies
5. Monitoring, Auditing, and Incident Detection
Monitor AI prompts, responses, logs, usage, and costs
Detect hallucinations, bias, accuracy issues, and misuse in AI systems
6. AI-Assisted Security Operations
Use AI tools to enhance threat detection, vulnerability analysis, incident response, and fraud detection
Improve SOC efficiency using AI-driven insights
7. Security Automation Using AI
Automate security tasks with AI agents, scripting tools, and low-code/no-code platforms
Integrate AI into CI/CD pipelines for testing, scanning, and deployment security
8. Understanding AI-Enabled Attacks
Recognize how attackers use AI for deepfakes, social engineering, reconnaissance, malware, and DDoS
Assess emerging AI-driven threat landscapes
9. AI Governance, Risk, and Compliance (GRC)
Apply Responsible AI principles (fairness, transparency, privacy, accountability)
Understand global AI regulations and standards such as EU AI Act, NIST AI RMF, ISO, and OECD
10. Enterprise & Role-Based AI Security Skills
Support roles like AI Security Architect, SOC Analyst, MLOps Engineer, GRC Analyst, and AI Risk Analyst
Align AI security practices with business objectives and compliance requirements
Jobs You Can Land with the CompTIA SecAI+ Certification:
- AI Security Analyst – Monitor, analyze, and secure AI systems by detecting threats such as prompt injection, model poisoning, and data leakage while ensuring safe AI operations.
- AI Security Engineer – Implement and manage security controls for AI models, data pipelines, APIs, and AI agents, including guardrails, encryption, and access controls.
- SOC Analyst (AI-Enabled) – Use AI-driven tools to enhance security monitoring, threat detection, incident analysis, and response across enterprise environments.
- Machine Learning Security Engineer – Secure machine learning pipelines, training data, and models by preventing adversarial attacks and ensuring model integrity throughout the lifecycle.
- MLOps Engineer (Security-Focused) – Manage secure deployment, monitoring, and maintenance of AI models, integrating security controls into MLOps and CI/CD workflows.
- DevSecOps Engineer (AI Systems) – Automate security testing, scanning, and deployment for AI applications within CI/CD pipelines while enforcing secure development practices.
- AI Risk Analyst – Identify, assess, and mitigate risks related to AI usage, including bias, data privacy, IP exposure, and model reliability.
- AI Governance Engineer – Develop and enforce AI policies, standards, and oversight mechanisms to ensure responsible, ethical, and compliant AI use within organizations.
- AI Compliance Analyst / Auditor – Evaluate AI systems and processes to ensure compliance with regulations such as the EU AI Act, NIST AI RMF, ISO standards, and corporate policies.
- Cybersecurity Consultant (AI & Emerging Technologies) – Advise organizations on securely adopting AI technologies, improving AI security posture, and aligning AI initiatives with business and regulatory requirements.
Training Options
Whether you’re looking for in-classroom or live online training, CertCop offers best-in-class instructor-led training for both individuals and teams. You can also find training among CertCop’s vast network of Authorized Training Partners.