Course Overview:

This is an advanced course that assumes the attendee is a qualified security professional with experience using security tools and understands the concepts behind penetration testing. Courses that build up the expertise that enables a student to succeed in this course is Security+, CEH, CISSP, and any of the GIAC certifications. This course is completely hands-on and utilizes the BackTrack tool suite from backtrack-linux.org. The course covers, in detail, various attacks and tools that are contained in the BackTrack tool suite.

Attendees to TN-335: Advanced Penetration Testing Using Open Source Tools will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Information Security and Open Source Software
  • Operating System Tools
  • Firewalls
  • Scanners
  • Vulnerability Scanners
  • Network Sniffers
  • Intrusion Detection Systems
  • Analysis and Management Tools
  • Encryption Tools
  • Wireless Tools
  • Forensic Tools
  • More on Open Source Software

Prerequisites:

  • Experience in IT Security
  • Solid basic knowledge of networks and TCP/IP
  • Experience in command line under Linux and Windows is required

 

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Course Overview:

This course, TN-305: Designing, Implementing, Administering and Securing Wireless Local Area Networks (LANs), covers the two main objectives for those entering the wireless world, understanding the technology & addressing its security.  TN-305: Designing, Implementing, Administering and Securing Wireless Local Area Networks (LANs) takes advantage of the student’s existing expertise to provide a challenging introductory course. Covering a broad range of wireless networking topics & an introduction on how to secure a wireless LAN from hackers. To insure wireless availability you need to understand proper design choices & administration practices. To protect valuable information on your network you need to know how attacks occur & techniques used to secure your wireless network.

Attendees to TN-305: Designing, Implementing, Administering and Securing Wireless Local Area Networks (LANs) will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Radio Frequency (RF) Fundamentals
  • Spread Spectrum Technologies
  • 802.11 Network Architecture
  • Physical & MAC Layers
  • Hardware Installation, Configuration, & Management
  • Antennas & Accessories
  • Wireless Network Management
  • Troubleshooting Wireless LANs
  • Site Surveying
  • Wireless LAN Security
  • Organizations & Standards

Prerequisites:

Attendees should have network administration skills.  These skills can be obtained through TechNow’s N-205N-305: CCNA/ICND Training program or our highly respected cross platform TN-385: TCP/IP Analysis & Implementation course.

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User: TMPRIESTLEY

Instructor comments: The instructor was very well versed on the topic and knew how to apply it to real-life examples. He led the labs and was very excited about the topic which kept the interest of myself and other class members. Sometimes his volume level was a little high- however the room the class was in was very small. Too small for a big personality!

Facilities comments: I was unaware of the facility changes, but that was at no fault of anyone since I was a drop-in for the course. They were very helpful and quick to mediate the issue.


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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:

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Course Overview:

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.

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