CT-415: CompTIA SecAI+

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.

N-595: VoIP Security Analysis and Design

Course Overview:

As VoIP (Voice-over IP) is integrated into the operations of many missions, it is imperative to understand its security ramifications. In the N-595: VoIP Security Analysis and Design class the objectives are designed for those who are chartered with the responsibility of securing networks and application environments that incorporate VoIP. Topics include how VoIP works, its interactions with the network, its vulnerabilities and mitigations. Focus is on leading open source and proprietary technologies utilizing Asterisk and Cisco and the protocols SIP, H.323, RTP, MGCP, and Skinny. Other protocols such as Nortel's UNIStim will be addressed. As for Cisco, security pieces in the VoIP CallManager servers, Catalyst switches, IOS-based routers, and ASA firewalls, amounts to several different platforms, each with its own management interface and lockdown procedures. Various open source tools including those in BackTrack are used for VoIP attacks. A task list of actions for securing enterprise VoIP is carried out in hands-on labs, performed on Cisco phones, routers, switches, and ASA firewalls.

Attendees to N-595: VoIP Security Analysis and Design will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

VoIP Architecture
VoIP Signaling and media protocols
Common VoIP authentication mechanisms
Common VoIP encryption techniques
VoIP protocol analysis with Wireshark
Maintaining QoS while mitigating DoS
VoXML, XML, and application integration security
Converged network security design and implementation
Impact of NAT and firewalls
SIP, H.323, and MGCP vulnerabilities
VPN, IPsec and SRTP to secure VoIP services
Penetration testing with open source tools
Attacks for Eavesdropping, call redirection, and DoS
Design of hacked firmware virtualization layer
Concise lockdown steps for network hardware and VoIP

Prerequisites:

This is an advanced Information Security Course which requires basic Windows & UNIX competency
Certification or 2 years of experience in these operating systems is highly recommended
As well as an understanding of TCP/IP

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CL-218: Introduction to Cloud Infrastructure and Operations Bootcamp

Course Overview:

This bootcamp is a customized course for Cloud Essentials+ and Cloud+ that leverages 8 days to provide greater value than just the delivery of two separate courses. The 8 days of instruction prepare the student for the CCSP course.

TechNow has Identified overlap and uses time saved to:

Introduce hands-on skills (Open Source and AWS)
Go more in-depth on theory using hands-on to reinforce concepts
Do exam prep with practice questions

This course covers the knowledge and skills required to understand standard Cloud terminologies/methodologies, to implement, maintain, and deliver cloud technologies and infrastructures (e.g. server, network, storage, and virtualization technologies), and to understand aspects of IT security and use of industry best practices related to cloud implementations and the application of virtualization.

This bootcamp helps prepare students for 2 certifications, CompTIA Clouds Essentials+ and CompTIA Cloud+. After this course students will also be prepared to continue their education by taking CL-315: CCSP – Certified Cloud Security Professional Preparation Seminar .

TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.

TechNow is a CompTIA partner and uses official CompTIA Cloud Essentials+ and CompTIA Cloud+ curriculum.

Attendees to CL-218: Introduction to Cloud Infrastructure and Operations Bootcamp will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 8 days

Course Objectives:

Learn the fundamental concepts of cloud computing
Learn the business aspects and impacts of cloud computing
Differentiate the types of cloud solutions and the adoptions measures for each
Identify the technical challenges and the mitigation measures involved in cloud computing
Identify the technical challenges and the mitigation measures involved in cloud computing
Identify the steps to successfully adopt cloud services
Identify the basic concepts of ITIL and describe how the ITIL framework is useful in the implementation of cloud computing in an organization
Identify the possible risks involved in cloud computing and the risk mitigation measures, and you will also identify the potential cost considerations for the implementation of cloud and its strategic benefits
Prepare to deploy cloud solutions
Deploy a pilot project
Test a pilot project deployment
Design a secure network for cloud deployment
Determine CPU and memory sizing for cloud deployments
Plan Identity and Access Management for cloud deployments
Analyze workload characteristics to ensure successful migration to the cloud
Secure systems to meet access requirements
Maintain cloud systems
Implement backup, restore, and business continuity measures
Analyze cloud systems for required performance
Analyze cloud systems for anomalies and growth forecasting
Troubleshoot deployment, capacity, automation, and orchestration issues
Troubleshoot connectivity issues
Troubleshoot security issues

Course Prerequisites:

Security+, Network+ or equivalent experience
Managing or administering at least one of UNIX, Windows, Databases, networking, or security

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TN-413: Certified AI Program Manager (C|AIPM)

Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.

The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.

Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value

By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.

Course Objectives:

•MLOps Principles: Model life cycle management for scalable, production-ready AI
•Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives
•AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization
•AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions
•Change Management: Workforce enablement and stakeholder alignment
•KPI Development: AI metrics, success indicators, and executive dashboards
•AI Governance: Risk, ethics, compliance, and responsible AI principles
•Vendor Evaluation: AI platform and tool selection aligned with enterprise needs

Dates/Locations:

No Events

Prerequisites: Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed.

TN-905: Cyber Threat Intelligence Analysis

Course Overview:

TechNow has worked worldwide enterprise infrastructures for over 30 years and has developed demos and labs to exemplify the techniques required to demonstrate technologies that effectively support CTI. This course integrates well with our courses TN-575: Open Source Network Security Monitoring and TN-865: Wireshark Network Traffic and Security Analysis .

TechNow develops Cyber Ranges and makes them available for conferences in support of annual meetings for Cyber Threat Response Teams. Developing scenarios and reacting to them appropriately is a big part of the value in understanding the contexts required to comprehend valuable CTI. As with many advanced TechNow security courses, there is a large hands-on ratio. This course helps Cyber Protection Teams (CPT), Defensive Cyber Operations (DCO), and Mission Defense Teams (MDT) to collect, analyze and apply targeted cyber intelligence to defensive operations in order to proactively act on and tune response to attacks by cyber adversaries. CPT, DCO, and MDT can take preemptive action by utilizing CTI, understanding CTI tools, techniques and procedures (TTPs) needed to generate and consume timely and relevant intelligence to improve resilience and prevention.

This course focuses on the collection, classification, and exploitation of knowledge about adversaries and their TTPs. . MDT puts us close the mission and helps define the internal context to be analyzed against the CTI. TechNow pushes the student to truly understand how to think about and use CTI to make a difference.

Attendees to TN-905: Cyber Threat Intelligence Analysis will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Objectives:

Learn to comprehend and develop complex scenarios
Identify and create intelligence requirements through practices such as threat modeling
Utilize threat modeling to drive intelligence handling and practices
Breakdown tactical, operational, and strategic-level threat intelligence
Generate threat intelligence to detect, respond to, and defeat focused and targeted threats
How to collect adversary information creating better value CTI
How to filter and qualify external sources, mitigating low integrity intelligence
Create Indicators of Compromise (IOCs) in formats such as YARA, OpenIOC, and STIX
Move security maturity past IOCs into understanding and countering the behavioral tradecraft of threats
Breaking down threats mapped against their tradecraft to tweak IOCs
Establish structured analytical techniques to be successful in any security role
Learn and apply structured principles in support of CTI and how to communicate that to any security role.