ISMS LA Batch 23rd, 24th, 29th, 30th, 31st May 2026.
Apply AI concepts to strengthen your organization’s cybersecurity posture.
Secure AI systems using advanced controls and protections to safeguard data, models, and infrastructure.
Leverage AI technologies to automate workflows, accelerate incident response, and scale security operations.
Navigate global GRC frameworks to ensure ethical and compliant AI adoption across industries.
Defend against AI-driven threats like adversarial attacks, automated malware, and malicious use of generative AI.
Integrate AI securely into DevSecOps pipelines and enterprise security strategies.
This foundational section introduces core AI technologies and how they apply to security:
✔ AI types & techniques — generative AI, machine learning (ML), statistical learning, deep learning, NLP, LLMs/SLMs, transformers, GANs.
✔ AI model training concepts — supervised, unsupervised, reinforcement learning, model validation, fine-tuning, pruning, quantization.
✔ Data security for AI — data cleansing, verification, lineage, integrity, provenance, augmentation, watermarking, retrieval-augmented generation (RAG).
✔ Prompt engineering basics and prompt techniques.
The largest domain focuses on protecting AI systems, data, models, and infrastructure:
✔ Implementing security controls to safeguard models, pipelines, and assets.
✔ Securing AI deployment environments — cloud, hybrid, and on-premises.
✔ Mitigating adversarial risks and attacks — prompt injections, data/model poisoning, inference attacks, model theft, supply chain issues.
✔ Access controls, monitoring, auditing, and secure architecture design.
This domain covers leveraging AI tools to improve cybersecurity operations:
✔ Using AI-driven tools for threat detection and behavioral analysis.
✔ Automating security workflows like alert correlation, event triage, and incident response.
✔ Enhancing SOC operations with AI insight and analytics.
✔ Understanding benefits and limitations of AI in daily security tasks.
This section focuses on responsible, ethical, and compliant use of AI in organizations:
✔ Understanding global governance and regulatory frameworks related to AI (e.g., GDPR, NIST AI RMF, EU AI Act).
✔ Integrating governance, risk management, and compliance principles into AI programs.
✔ Ensuring ethical AI use — fairness, privacy, transparency, accountability.
✔ Risk assessment strategies and corporate AI policy considerations.
CompTIA recommends this certification for professionals with:
🔹 About 3–4 years of IT experience, including at least 2 years of hands-on cybersecurity experience.
🔹 Prior certifications like Security+, CySA+, PenTest+, or equivalent knowledge are helpful.
Exam version: V1
Exam series code: CY0-001
Launch date: February 17, 2026
Languages: English
Recommended experience: 3–4 years in IT, inclusive of 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended.
Retirement: Estimated 3 years after launch