Prepare your security teams for the intersection of AI and cyber security

Corporate CompTIA SecAI+ Training Course

Trustpilot

What's Included

CompTIA Security+ AI CertMaster Course Content
CompTIA Security+ AI CertMaster Live Labs
CompTIA Security+ AI CertMaster Practice
CompTIA Security+ AI Exam Voucher
Corporate CompTIA SecAI+ Training Course Content
This foundational area involves explaining core AI principles and terminology, such as machine learning, deep learning, natural language processing, and automation. It requires the ability to identify practical AI applications in security, specifically focusing on use cases for threat detection, defence, and general security operations. Furthermore, one must recognise the evolving landscape of AI-driven threats, including automated phishing, polymorphic malware, adversarial machine learning, and the malicious exploitation of generative AI.
Securing the infrastructure itself necessitates the implementation of robust technical safeguards to protect AI systems, their underlying data, and the models themselves. This involves securing AI deployment environments by applying industry best practices across on-premises, cloud, and hybrid infrastructures. Additionally, practitioners must focus on mitigating adversarial risks by defending against sophisticated attacks that specifically target AI models, data pipelines, and inference layers.
AI serves as a powerful tool to enhance detection and response capabilities, allowing organisations to identify anomalies, detect complex threats, and accelerate the remediation of security incidents. By integrating AI-driven tools, security teams can automate workflows, including event triage, alert correlation, and response orchestration. These techniques are further applied to day-to-day operations, incorporating AI into threat modelling, behaviour analysis, and continuous monitoring to maintain a proactive security posture.
The final pillar focuses on understanding global regulatory frameworks and the specific governance requirements that influence AI adoption. It is essential to integrate GRC (Governance, Risk, and Compliance) practices throughout the entire AI lifecycle, ensuring that projects remain aligned with organisational risk appetites. Finally, ensuring responsible AI use involves strictly applying ethical guidelines, legal standards, and established industry frameworks, such as the GDPR and the NIST AI RMF.

Basic AI Concepts Related to Cybersecurity

This foundational area involves explaining core AI principles and terminology, such as machine learning, deep learning, natural language processing, and automation. It requires the ability to identify practical AI applications in security, specifically focusing on use cases for threat detection, defence, and general security operations. Furthermore, one must recognise the evolving landscape of AI-driven threats, including automated phishing, polymorphic malware, adversarial machine learning, and the malicious exploitation of generative AI.

Securing AI Systems

Securing the infrastructure itself necessitates the implementation of robust technical safeguards to protect AI systems, their underlying data, and the models themselves. This involves securing AI deployment environments by applying industry best practices across on-premises, cloud, and hybrid infrastructures. Additionally, practitioners must focus on mitigating adversarial risks by defending against sophisticated attacks that specifically target AI models, data pipelines, and inference layers.

AI-Assisted Security

AI serves as a powerful tool to enhance detection and response capabilities, allowing organisations to identify anomalies, detect complex threats, and accelerate the remediation of security incidents. By integrating AI-driven tools, security teams can automate workflows, including event triage, alert correlation, and response orchestration. These techniques are further applied to day-to-day operations, incorporating AI into threat modelling, behaviour analysis, and continuous monitoring to maintain a proactive security posture.

AI Governance, Risk, and Compliance

The final pillar focuses on understanding global regulatory frameworks and the specific governance requirements that influence AI adoption. It is essential to integrate GRC (Governance, Risk, and Compliance) practices throughout the entire AI lifecycle, ensuring that projects remain aligned with organisational risk appetites. Finally, ensuring responsible AI use involves strictly applying ethical guidelines, legal standards, and established industry frameworks, such as the GDPR and the NIST AI RMF.
£849
Excludes VAT
All exam fees included

Course Formats & Delivery

Newto Training offers flexible delivery modes to suit your learning style:

Flexible Online CompTIA SecAI+ Classroom Training

12
Months Access
40
Training Hours
2 Months
Average Completion

What's Included

Mentorship
Exam Preparation
Comptia SecAI+ Live Labs
Comptia SecAI+ Exam

Course Description

Develop your team’s expertise in the rapidly evolving space of artificial intelligence and cybersecurity with our fully online CompTIA SecAI+ CertMaster programme. This comprehensive training pathway builds practical skills in securing AI systems through engaging course content, hands-on labs, and focused exam preparation. The all-inclusive package provides access to an expert mentor for tailored support and includes the official certification exam, offering a complete, scalable solution to validate and strengthen your organisation’s AI security capabilities.

£849
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5-Day Live Instructor-Led CompTIA SecAI+ Online Bootcamp

5
Days
40
Training Hours
8 Hours
Per Day

What's Included

Live Taught Classroom
Exam Preparation
Comptia SecAI+ Live Labs
Comptia SecAI+ Exam

Course Description

Accelerate your team’s AI security certification with our intensive 5-Day Live Instructor-Led Online Bootcamp. This structured virtual training programme combines expert, real-time delivery with hands-on Live Labs that replicate real-world AI and cybersecurity scenarios. Participants gain focused exam preparation, including guided practice question reviews and proven test-taking strategies, with the official CompTIA SecAI+ exam included, enabling a streamlined, high-impact route to certification within just one week.

£1,795
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