CompTIA SecAI+ is the first certification in CompTIA’s expansion series, designed to help you secure, govern and responsibly integrate artificial intelligence into your cybersecurity operations. You’ll build the skills to defend AI systems, meet global compliance expectations and use AI to enhance threat detection, automation and innovation—so you can strengthen your expertise and help keep your organization’s systems and data secure.
SecAI+ helps you build practical AI security and automation skills on top of your existing expertise, so you can secure AI deployments, use AI‑assisted security tools with confidence, and stay ready for the next step in your cybersecurity career.
Course Objectives:
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.
Dates/Locations:
No Events
Prerequisites: Recommended experience: 3–4 years in IT and 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended
SecAI+ (V1) exam objectives summary
Basic AI concepts related to cybersecurity (17%)
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.
Securing AI systems (40%)
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.
AI-assisted security (24%)
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.
AI governance, risk, and compliance (19%)
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.
This course provides security professionals with the skills and knowledge to perform vulnerability and compliance scanning of supported operating systems, devices, and applications. Students will construct custom scan policies for topology discovery, network vulnerability detection, credentialed patch audits, and compliance benchmarks, and discuss the underlying technologies utilized by the Nessus scanner.
This course provides students with the necessary information to prepare for the Tenable Certified Nessus Auditor (TCNA) exam.
Date/Locations:
No Events
Duration: 5 days
Course Objectives:
Introduction to Nessus and Vulnerability Scanning
Nessus Installation and Administration
Basic Nessus Scan Operation
Nessus Scan Configuration and Policy Creation
Vulnerability Analysis and Reporting with Nessus
Advanced Scan Configuration and Policy Creation
Introduction to Compliance and Auditing
Nessus Auditing Features
Windows System Auditing
Unix System Auditing
Cisco IOS Auditing
Nessus Database Auditing
Nessus Content Auditing
Auditing to Industry Guidelines
Auditing to Federal Guidelines
Prerequisites:
Students should possess a basic understanding of TCP/IP networking, operating systems security, and common client/server applications.
CT-395: CompTIA CySA+ Cybersecurity Analyst is for IT professionals looking to gain IT security analyst skills, and for those following the recommended skills pathway to achieve cybersecurity mastery. It provides a bridge between CompTIA Security+ (CT-325) and CompTIA SecurityX (CT-425), thus completing a certification path within the CompTIA family of certifications. As attackers have learned to evade traditional signature-based solutions, an analytics-based approach has become extremely important. CySA+ applies behavioral analytics to the IT security market to improve the overall state of security. The CompTIA Cybersecurity Analyst (CySA+) certification verifies that successful candidates have the knowledge and skills required to configure and use threat detection tools, perform data analysis and interpret the results to identify vulnerabilities, threats and risks to an organization, with the end goal of securing and protecting applications and systems within an organization. Let us help you bridge this gap, and leave you prepared for the certification exam (CS0-003).
TechNow is a CompTIA partner uses official CompTIA CySA+ curriculum.
While there is no required prerequisite, the CompTIA CySA+ certification is intended to follow CT-325: Security+ or equivalent experience. It is recommended for CompTIA CySA+ candidates to have the following:
3-4 years of hands-on information security or related experience
Learn how a Modern Desktop Administrators deploys, configures, secures, manage, and monitors devices and client applications in an enterprise environment. This is a hands-on, instructor led Bootcamp focusing on the real world responsibilities of a Modern Desktop Administrator and covering the information needed for the certification exams, which are administered while attending.
If you’ve passed Exam 70-698: Configuring Windows 10 (retired March 31, 2019) you only need to take MD-101 to earn this new certification.
This certification is one of the workload administrator certification required for the Microsoft 365 Certified: Enterprise Administrator Expert certification.
Dates/Locations:
No Events
Duration: 10 Days
Course Content:
Module 01. Installing Windows
Module 02. Updating Windows
Module 03. Post-Installation Configuration and Personalization
Module 15. Planning an Operating System Deployment Strategy
Module 16. Implementing Windows 10
Module 17. Managing Updates for Windows 10
Module 18. Device Enrollment
Module 19. Configuring Profiles
Module 20. Application Management
Module 21. Managing Authentication in Azure AD
Module 22. Managing Devices and Device Policies
Module 23. Managing Security
Prerequisites:
Microsoft 365 Certified Fundamentals (M-MS900)
Target Audience:
IT professionals who perform installation, configuration, general local management and maintenance of Windows 10 core services. Candidates may also be familiar with enterprise scenarios and cloud-integrated services.
