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.
TechNow provides an array of courses to meet our customer's requirements. Courses that do not fit into our major course categories and custom or specialized courses appear here.
Here are courses about specilaized Software or Hardware:
Intrusion Analyst is a hands-on course that covers intrusion detection in-depth. This includes concepts such as the use of Snort, network traffic analysis, and IDS signatures.
A skills focus enables the student to better absorb the subject matter and perform successfully on the job. This is not death by power point. The course is aligned with information assurance operators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics of packet and intrusion analysis.
Attendees to TN-979: Intrusion Analyst will receive TechNow approved course materials and expert instruction.
UNIX, Windows, Networking, and Security Experience
This is a hands-on skill course requiring comfort with command line interaction and network communications
Comments
Latest comments from students
User: Tosha
Instructor comments: Dave was an excellent instructor. He is very informative and knowledgeable in the course and the material. I have enjoyed the class and I would take another course with him as the instructor.
Facilities comments: Very nice and clean hotel.
User: buckey26
Instructor comments: Dave was one of the best instructors I have ever had for a tech course. He broke down everything to the point where you can understand it internally.
A skills focus enables the student to better absorb the subject matter and perform successfully on the exam. This is not death by power point. The course is aligned with information assurance operators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics of the attacks and the effectiveness. Students then gain network experience and use sniffing to help exemplify the benefit of learning wired and wireless security configurations. The course concludes with exercising real attack strategies to demonstrate the techniques acquired throughout the course.
Attendees to TN-939: Hacker Techniques, Exploits, and Incident Handling will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Duration: 9 days
Course Objectives:
Backdoors & Trojan Horses
Buffer Overflows
Covering Tracks: Networks
Covering Tracks: Systems
Denial of Service Attacks
Exploiting Systems Using Netcat
Format String Attacks
Incident Handling Overview and Preparation
Incident Handling Phase 2: Identification
Incident Handling Phase 3: Containment
Incident Handling: Recovering and Improving Capabilities
IP Address Spoofing
Network Sniffing
Password Attacks
Reconnaissance
Rootkits
Scanning: Host Discovery
Scanning: Network and Application Vulnerability scanning and tools
Scanning: Network Devices (Firewall rules determination, fragmentation, and IDS/IPS evasion)
UNIX, Windows, Networking, and Security Experience
This is a hands-on skill course requiring comfort with command line interaction and network communications
Comments
Latest comments from students
User: m_jurrens
Instructor comments: Both instructors Mr. Askey and Mr. Hackney, were very good. the open learning environment was extremely productive and I felt we all learned far more that we ever would out of a structured rote memorization course.
User: natebonds
Instructor comments: Both Mr. Askey and Hackney were extremely knowledgeable. They were also extremely interested in helping each student learn. I was particularly impressed with the way they tailored the course to optimize our time since we weren't testing. I feel like I know much much more than I did when the class started.
Facilities comments: The facilities were fine. I would have preferred it be closer to Lackland.
