What Is CompTIA SecAI+?

Overview

CompTIA SecAI+ is a CompTIA credential. Build specialized skills in securing AI systems, detecting AI-related threats, and responsible AI security practices. This PathKey™ guide summarizes the domains, format, cost signals, eligibility, and renewal pattern so you can decide before you book. Accumentum is a CompTIA Authorized Training Partner and an Army CA and Air Force COOL Approved Vendor. CompTIA sets exam content, fees, and policies.

Accumentum is a CompTIA Authorized Training Partner and an Army CA and Air Force COOL Approved Vendor. CompTIA sets exam content, fees, and policies.

Who it is for

• Cybersecurity professionals seeking to expand into AI security through expert-led CompTIA SecAI+ Certification.
• SOC analysts, security engineers, cloud security specialists, security architects, and incident response professionals who want to secure AI-enabled systems and leverage AI responsibly in security operations.
• Governance, risk, compliance, audit, and privacy professionals supporting secure AI adoption, AI oversight, and responsible enterprise AI use.

Exam domains

Weights follow the official outline.

1. 01

   AI Concepts for Cybersecurity

   Build a strong foundation in CompTIA SecAI+ by mastering core artificial intelligence, machine learning, deep learning, natural language processing, automation, and model lifecycle concepts aligned with CY0-001 objectives, Learn how AI is applied in cybersecurity operations, threat detection, incident response, security analytics, and enterprise risk management, and Understand the terminology, limitations, and operational considerations security professionals must know when working with AI-enabled systems.

2. 02

   AI Security Threat Landscape

   Identify AI-driven threats, adversarial techniques, automated phishing, model abuse, data poisoning, prompt injection, malicious generative AI use, and emerging attack patterns covered in the SecAI+ certification exam, Learn how attackers use AI to accelerate reconnaissance, social engineering, malware development, evasion, and large-scale exploitation, and Analyze AI system attack surfaces across applications, models, data pipelines, APIs, users, and cloud infrastructure.

3. 03

   Securing AI Systems and Models

   Master the controls required to protect AI systems, models, training environments, inference services, and supporting infrastructure in CompTIA SecAI+, Learn to implement authentication, authorization, encryption, secure configuration, segmentation, monitoring, and access controls for AI workloads, and Understand how to secure on-premises, cloud, and hybrid AI deployment environments using defense-in-depth practices.

4. 04

   Data, Model, and Pipeline Protection

   Protect sensitive data, model artifacts, datasets, pipelines, repositories, prompts, outputs, and telemetry used in AI-enabled cybersecurity operations, Learn techniques for data classification, data loss prevention, privacy protection, secure storage, secure transfer, and lifecycle management, and Understand risks related to model leakage, training-data exposure, inference attacks, data contamination, and unauthorized model access.

5. 05

   Adversarial AI Risk Mitigation

   Learn to recognize, assess, and mitigate adversarial machine learning risks, including poisoning, evasion, model inversion, model extraction, and prompt-based attacks, Apply defensive controls such as validation, guardrails, monitoring, red teaming, testing, access restrictions, and secure model governance, and Understand how AI-specific threats differ from traditional cybersecurity risks and how SecAI+ candidates should approach mitigation planning.

6. 06

   AI-Assisted Detection and Response

   Leverage AI technologies to enhance threat detection, anomaly identification, alert prioritization, event correlation, malware analysis, and incident response workflows, Learn how AI can support SOC operations, endpoint detection, SIEM enrichment, vulnerability management, behavior analytics, and continuous monitoring, and Understand the strengths and limitations of AI-assisted security tools, including false positives, model drift, data quality, and human oversight requirements.

7. 07

   Security Automation and Orchestration

   Master the use of AI-driven automation to streamline triage, enrichment, workflow routing, response playbooks, reporting, and remediation activities, Learn how to integrate AI-enabled capabilities with SOAR, SIEM, ticketing, vulnerability management, and incident response platforms, and Understand automation risks, approval workflows, rollback planning, documentation, and control points needed for responsible AI-enabled operations.

8. 08

   AI Governance and Responsible Use

   Navigate governance, risk, compliance, privacy, ethics, and responsible AI requirements in SecAI+, Learn how policies, standards, acceptable use rules, data governance, oversight boards, and AI inventories support secure enterprise adoption, and Understand ethical AI principles, transparency, accountability, explainability, bias, and human-in-the-loop considerations for cybersecurity teams.

9. 09

   Risk, Compliance, and Audit Readiness

   Assess AI-related risks and map controls to governance, risk, and compliance expectations across regulated and enterprise environments, Learn to support audits, evidence collection, control validation, vendor risk reviews, policy enforcement, and continuous risk monitoring for AI systems, and Understand global compliance considerations that affect AI adoption, including privacy, security, data protection, and operational resilience requirements.

10. 10

    Secure AI Integration and DevSecOps

    Integrate AI securely into software delivery, DevSecOps pipelines, enterprise architectures, and cybersecurity operating models, Learn secure design, testing, monitoring, change management, third-party review, and deployment practices for AI-enabled applications and services, and Understand how to evaluate AI tools, APIs, plugins, copilots, and platforms before they are introduced into production environments.

Exam format and cost

Questions

Confirm on the vendor site

Duration

Confirm on the vendor site

Format

Multiple choice and related item types (confirm on the vendor outline)

Passing score

600

Cost

Confirm the current U.S. voucher price on CompTIA's store before you buy (often listed in the mid-$300s to low-$400s USD in 2026)

Delivery

Confirm delivery options on the vendor site

Languages

Confirm available languages on the vendor site

Experience and eligibility

No strict prerequisites are required to enroll in CompTIA SecAI+, but the program is best suited for professionals with cybersecurity, networking, cloud, security operations, or risk management experience. CompTIA recommends 3 to 4 years of IT experience and 2+ years of hands-on cybersecurity experience before attempting the CompTIA SecAI+ certification exam.

Renewal

Renewal rules for CompTIA SecAI+ are set by CompTIA. Many credentials use a multi-year cycle with continuing education, a renewal fee, or a newer exam. Confirm the current cycle on the vendor site.

Roles this credential fits

• AI concepts for cybersecurity, securing AI systems, AI-assisted security operations, automation, governance, risk, compliance, and preparation for the CompTIA SecAI+ CY0-001 certification exam.
• AI Security
• Teams standardizing on this credential for hiring or compliance

Official sources

• CompTIA certifications

Always confirm fees, dates, and eligibility on the vendor site before you register. Vendors change outlines and prices without notice.