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.
Learn to protect yourself and your company against hackers, by learning their tools and techniques, and then testing your network. This course is heavily based on Kali and primarily on Metasploit. In TN-515: Implementing Cybersecurity and Information Assurance Methodologies class you will learn the step by step process that hackers use to assess your enterprise network, probe it & hack into it, utilizing a mixed-platform target environment including Windows, Linux, Solaris, and Cisco. This course is 90% hacking, but defenses for demonstrated hacks will be discussed. If you want to know the ins and outs of the hacks presented in this course, then this is the course for you.
Attendees to TN-515: Implementing Cybersecurity and Information Assurance Methodologies Class Attendees will receive TechNow approved course materials and expert instruction.
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.
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.
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
