TN-812: Information Systems Security Engineering Professional (ISSEP)

Course Overview:

This concentration was developed in conjunction with the U.S. National Security Agency (NSA) providing an invaluable tool for any systems security engineering professional. CISSP®-ISSEP is the guide for incorporating security into projects, applications, business processes, and all information systems. Security professionals are hungry for workable methodologies and best practices that can be used to integrate security into all facets of business operations. The SSE model taught in the IATF portion of the course is a guiding light in the field of information security and the incorporation of security into all information systems.

Attendees to TN-812: Information Systems Secuirty Engineering Professional (ISSEP) will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Systems Security Engineering
  • Certification and Accreditation
  • Technical Management
  • U.S. Government Information Assurance Governance

Prerequisites:

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User: fsarisen

Instructor comments: Thank you Tim for all the great information! I am confident that I'll do well on the ICND exam.

User: storoy30

Instructor comments: The instructor, Tim Burkard, was very knowledgeable on the course material and skilled at explain more complex ideas.

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TN-425: Certified Offensive AI Security Professional (C|OASP)

Certified Offensive AI Security Professional (COASP) validates the competencies required for practitioners who need to demonstrate offensive AI security skills, emulating adversaries, validating defenses, and leading red-team/blue-team exercises to keep AI resilient, reliable, and auditable

The Certified Offensive AI Security Professional (COASP) equips you to identify and neutralize AI-specific threats before attackers do. And Bridges security, engineering, and data science so controls exist across the full AI life cycle.

Participants will gain hands-on experience to perform end-to-end adversarial testing and deliver defensive validation evidence including the ability to simulate adversarial AI kill chains, Harden AI architectures by secure system prompts, context windows, tool integrations, RAG pipelines, and agent memory, Conducting AI security assessments aligned to MITRE ATLAS, OWASP LLM/ML Top 10, NIST AI RMF, and DoD Test & Evaluation practices , This course covers how to build SOC-ready capabilities for AI-focused detection logic, incident playbooks, and forensic procedures , & how to execute prompt injection, adversarial prompting , Assess AI supply-chain risk , Implement defensive engineering controls and Produce assurance and compliance artifacts.

By the end of the course, learners will be well-prepared to take the Certified Offensive AI Security Professional (COASP) exam and demonstrate the ability to exploit vulnerabilities in LLMs and agents, and build defense that survive real world attacks, learners will master offensive techniques that break AI before the attackers do.

 

Course Outline: 

01. Offensive AI and AI System Hacking Methodology

02. AI Reconnaissance and Attack Surface Mapping

03. AI Vulnerability Scanning and Fuzzing

04. Prompt Injection and LLM Application Attacks

05. Adversarial Machine Learning and Model Privacy Attacks

06. Data and Training Pipeline Attacks

07. Agentic AI and Model-to-Model Attacks

08. AI Infrastructure and Supply Chain Attacks

09. AI Security Testing, Evaluation, and Hardening

10. AI Incident Response and Forensics 

 

Prerequisites: 

TN-412: Artificial Intelligence Essentials (AI|E) 

 

Dates/Locations:

No Events

PA-243: Palo Alto Networks Firewall Debug and Troubleshoot (EDU-311)

  

 

Course Overview: PA-243: Palo Alto Networks Firewall Debug and Troubleshoot is a three-day course on how to troubleshoot the full line of Palo Alto Networks next-generation firewalls. Students will receive hands-on experience troubleshooting the security, networking, threat prevention, logging, and reporting features of the Palo Alto Networks PAN-OS® operating system. Upon completion of this class, students will have an in-depth knowledge of how to troubleshoot visibility and control over applications, users, and content. This is not a virtualized theoretical course.  This is hands-on, real world instruction, directly relevant to the DoD and Commercial implementations of Palo Alto Networks next-generation firewalls.

Each student is issued a physical Palo Alto firewall and a Cisco layer 3 switch at their desk.  Real hardware per student for real experience and real skill development.  TechNow provides a very comprehensive client infrastructure that includes Windows, Linux, and multiple packet sniffer agents.

The instructor for this course has been a lead in Unix kernel development to implement firewall and intrusion detection technologies. Additionally, the instructor has taught several security appliance products and carries several SANS, ISC2, ISACA, Cisco, Unix, and Windows certifications.

Attendees to the PA-243: Palo Alto Networks Firewall Debug and Troubleshoot (EDU-311) Training Course will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 3 days

Course Objectives:   Students attending this foundational-level training course will gain an in-depth knowledge of how to configure and manage their Palo Alto Networks firewall, including hands-on experience in configuring the security, networking, threat prevention, logging, and reporting features of the Palo Alto Networks Operating System (PAN-OS).

Day 1

  • Module 0 – Introduction & Overview
  • Module 1: Troubleshooting
    • Methodology
  • Module 2: Platform
    • Comparisons When
    • Troubleshooting
  • Module 3: Flow Logic
  • Module 4: Administration
    • Troubleshooting

 

 

Day 2

  • Mod 5: Layer 3
    • Troubleshooting
  • Mod 6: Policy
    • Troubleshooting
  • Mod 7: User-ID™
    • Troubleshooting

Day 3

  • Mod 8: VPN
    • Troubleshooting
  • Mod 9: GlobalProtect™
    • Troubleshooting
  • Mod 10: Performance
    • Troubleshooting

 

Prerequisites:

This course is in no way associated with Palo Alto Networks, Inc.

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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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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.