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CompTIA SecAI+

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Course Overview

CompTIA SecAI+ is the first certification in our new expansion series, designed to help you secure, govern, and responsibly integrate artificial intelligence into cybersecurity operations. Gain the skills to defend AI systems, meet global compliance standards, and use AI to enhance threat detection, automation, and innovation while strengthening organizational resilience.

Skills you’ll learn:

  • 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.

Exam Details:

  • Exam version: V1

  • Exam series code: CY0-001

  • Launch date: February 17, 2026

  • Languages: English

  • Recommended experience: 3–4 years in IT, including 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended.

  • Retirement: Estimated 3 years after launch

Why SecAI+ Matters for Your Career:

  • Addresses real-world AI security challenges, including adversarial attacks, prompt manipulation, and data poisoning.

  • Teaches integration of AI into security operations centers (SOCs) and incident response workflows safely and effectively.

  • Provides essential knowledge on emerging AI governance, risk, compliance, and ethical standards.

  • Positions professionals to lead AI-ready cybersecurity teams in hybrid, cloud, and enterprise environments.

Audience & Experience Level:

SecAI+ is intended for experienced IT and cybersecurity professionals — such as security analysts, engineers, architects, SOC specialists, and governance officers — seeking to specialise in AI security or expand their strategic impact. Recommended experience is typically 3–4 years in IT, including at least 2 years in cybersecurity, bolstered by foundational certifications like Security+ or CySA+.

Schedule Dates

02 February 2026 - 06 February 2026
SecAI+
04 May 2026 - 08 May 2026
SecAI+
10 August 2026 - 14 August 2026
SecAI+
16 November 2026 - 20 November 2026
SecAI+

Course Content

  • Explain core AI principles and terminology: Machine learning, deep learning, natural language processing, and automation.
  • Identify AI applications in security: Use cases for AI in threat detection, defense, and security operations.
  • Recognize AI-driven threats: Automated phishing, polymorphic malware, adversarial machine learning, and malicious use of generative AI.

  • Implement security controls: Protect AI systems, data, and models using robust technical safeguards.
  • Secure AI deployment environments: Apply best practices across on-premises, cloud, and hybrid infrastructures.
  • Mitigate adversarial risks: Defend against attacks targeting AI models, data pipelines, and inference layers.

  • Enhance detection and response: Use AI-driven tools to identify anomalies, detect threats, and accelerate incident remediation.
  • Automate security workflows: Integrate AI for event triage, alert correlation, and response orchestration.
  • Apply AI techniques in operations: Incorporate AI into threat modeling, behavior analysis, and continuous monitoring.

  • Understand regulatory frameworks: Identify global governance requirements and their implications for AI adoption.
  • Integrate GRC into AI projects: Incorporate governance, risk management, and compliance practices throughout the AI lifecycle.
  • Ensure responsible AI use: Apply ethical guidelines, legal standards, and industry frameworks such as GDPR and NIST AI RMF.

FAQs

SecAI+ covers security controls and governance strategies for generative AI technologies, including managing risks related to data leakage, prompt misuse, hallucinations, and unauthorized model access within enterprise environments.

Yes. The certification emphasizes protecting AI workloads deployed across cloud, hybrid, and on-premises environments, including identity management, secure APIs, data pipelines, and cloud-native AI security controls.

Candidates are expected to understand cybersecurity fundamentals (threat monitoring, access control, incident response) and have a working familiarity with AI/ML concepts, cloud environments, and security operations workflows.

Yes — SecAI+ teaches how to integrate AI tools into security operations, enabling automated threat triage, enhanced anomaly detection, and faster incident response while mitigating risks associated with overreliance on AI.

While Security+ and similar certs touch on AI at a high level, SecAI+ is dedicated entirely to AI security — offering deeper technical breadth and practical governance skills specifically for AI pipelines, models, and automated defenses.

Yes. SecAI+ is particularly valuable for regulated sectors where AI adoption must comply with strict security, privacy, and governance requirements, including data protection laws and sector-specific regulatory frameworks.