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.
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.
The Computer Hacking Forensic Investigator (CHFI) course delivers the security discipline of digital forensics from a vendor-neutral perspective. CHFI is a comprehensive course covering major forensic investigation scenarios and enabling students to acquire necessary hands-on experience with various forensic investigation techniques and standard forensic tools necessary to successfully carry out a computer forensic investigation leading to the prosecution of perpetrators.
The CHFI certification gives participants the necessary skills to perform an effective digital forensics investigation. CHRI presents a methodological approach to computer forensics including searching and seizing, chain-of-custody, acquisition, preservation, analysis and reporting of digital evidence
What’s Included:
5 days of instructor-led in classroom training
Detailed Labs for hands-on learning experience; approximately 50% of training is dedicated to labs
Hundreds of investigation tools including EnCase, Access Data FTL, & ProDiscover
Huge cache of evidence files for analysis including RAW, .dd images, video & audio files, MS Office files, systems files, etc.
CHFI Courseware
Exam Voucher
CHFI onsite exam scheduling
Course Objectives:
Establish threat intelligence and key learning points to support pro-active profiling and scenario modeling
Perform anti-forensic methods detection
Perform post-intrusion analysis of electronic and digital media to determine the who, where, what, when, and how the intrusion occurred
Extract and analyze of logs from various devices like proxy, firewall, IPS, IDS, Desktop, laptop, servers, SIM tool, router firewall, switches AD server, DHCP logs, Access Control Logs & conclude as part of investigation process
Identify & check the possible source/ incident origin
Recover deleted files and partitions in Windows, MAC OS X, and Linux
Conduct reverse engineering for known and suspected malware files
Collect data using forensic technology methods in accordance with evidence handling procedures, including collection of hard copy and electronic documents
This course is designed for professionals that are expected to do malware analysis. 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 Reverse Engineering Malware.
Attendees to TN-999: Reverse Engineering Malware will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Duration: 5 days
Course Objectives:
Toolkit and Lab Assembly
Malware Code and Behavioral Analysis Fundamentals
Malicious Static and Dynamic Code Analysis
Collecting/Probing System and Network Activities
Analysis of Malicious Document Files
Analyzing Protected Executables
Analyzing Web-Based Malware
DLL Construction and API Hooking
Common Windows Malware Characteristics in x86 Assembly
Unpacking Protected Malware
In-Depth Analysis of Malicious Browser Scripts, Flash Programs and Office
In-Depth Analysis of Malicious Executables
Windows x86 Assembly Code Concepts for Revers-Engineering Memory Forensics for Rootkit Analysis
Prerequisites:
Strong understanding of core systems and network concepts
Exposure to programming and assembly concepts
Comfortable with command line access
Comments
Latest comments from students
User: marcus.osullivan
Instructor comments: Good stuff. I like the beginning half where there was help from an additional instructor to facilitate fixing computer errors that inevitably popped up.
Facilities comments: The baby deer were neat! I like the resort.
This course provides students with the knowledge and skills they need to develop C# applications for the Microsoft .NET Platform. The course focuses on C# program structure, language syntax & implementation details. C# was created to be the programming language best suited for writing enterprise applications for .NET. C# combines the high productivity of Microsoft Visual Basic with the raw power of C++. It is a simple, object-oriented and type-safe programming language that is based on the C & C++ family of languages.
Attendees to MS-2124: Programming with C# will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
Overview of the Microsoft .NET Platform Overview of C#
Using Value-Type Variables
Statements & Exceptions
Methods & Parameters
Arrays
Essentials of Object-Oriented Programming
Using Reference-Type Variables
Creating & Destroying Objects
Inheritance in C#
Aggregation, Namespaces & Advanced Scope
Operators & Events Properties & Indexes
Attributes
Prerequisites:
Experience with programming in C, C++, Visual Basic, Java or another programming language
Comments
Latest comments from students
User: jdmccol
Instructor comments: Excelent instructor, covered topic in depth and modified course objectives to meet student own needs.
Facilities comments: Was OK, I am sure the Technow facilities when competed will be better.
