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.

TN-8155: HCISPP Preparation Seminar

Course Overview:

The HCISPP is the only certification that combines cybersecurity skills with privacy best practices and techniques. It demonstrates you have the knowledge and ability to implement, manage, and assess security and privacy controls to protect healthcare organizations using policies and procedures established by the cybersecurity experts at (ISC)2. TechNows HCISPP Certification Boot Camp is a comprehensive review of Healthcare cybersecurity with privacy best practices & industry best practices.

Attendees to TN-8155: HCISPP Certification Preparation Seminar will receive TechNow approved course materials and expert instruction..

Date/Locations:

No Events

Course Duration: 5 days

Course Objectives:

Strategically focus your preparation for HCISPP Certification
Cover a broad spectrum of topics in the 7 domains of the HCISPP Common Body of Knowledge (CBK)
Gain knowledge on the Healthcare industry including third party relationships and health data management concepts
Identify applicable regulations, compliance frameworks, privacy principles and policies to protect information security
Develop risk management methodology and identify control assessment procedures

Audience:

The HCISPP certification is ideal for security professionals responsible for safeguarding protected health information (PHI). Take this HCISPP training course to prepare to manage and implement security controls for healthcare information. HCISPPs are instrumental to a variety of job functions: Compliance Officer, Information Security Manager, Privacy Officer, Compliance Auditor, Risk Analyst, Medical Records Supervisor, IT Manager, Privacy & Security Consultants, and Health Information Manager.

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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

TN-913: Cloud Security Fundamentals

Course Overview:

TechNow Cloud Security Fundamentals addresses the loss of hands-on control of system, application, and data security in the Cloud computing environment. Security teams wrestle with the impact and liability of Cloud computing on an organization. This course enables the security team to assist in contract language and Service Level Agreements (SLAs) when utilizing Cloud Service Providers (CSPs).

Compliance and auditing are introduced with strategies for control verification and audit analysis in the CSP environment. Software as a Service (SaaS) to Infrastructure as a Service (IaaS) and everything in between require a compliance strategy. Students will go in-depth into the architecture and infrastructure fundamentals for private, public, and hybrid clouds. Topics covered include: patch and configuration management, virtualization security, application security, and change management. Policy, risk assessment, and governance within cloud environments will be covered with recommendations for both internal policies and contract provisions to consider.

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

Attendees to TN-913: Cloud Security Fundamentals will receive TechNow approved course materials and expert instruction.

Date/Locations:

Date/Time	Event
09/09/2026 - 09/11/2026 08:00 -16:00	TN-913: Cloud Security Fundamentals TechNow, Inc, San Antonio TX
12/07/2026 - 12/09/2026 08:00 -16:00	TN-913: Cloud Security Fundamentals TechNow, Inc, San Antonio TX

Course Duration: 3 days

Course Objectives:

Cloud computing introduction
Security challenges in the cloud
Infrastructure security in the cloud
Policy, risk, and governance for cloud computing
Compliance and legal considerations
Audit and assessment for the cloud
Data security in the cloud
Identity and Access Management (IAM)
Disaster Recovery and Business Continuity Planning (DR/BCP) in the cloud
Intrusion detection and incident response

Course Prerequisites:

GSEC, CISSP, CASP or equivalent experience in managing enterprise infrastructures
Managing or administering at least one of UNIX, Windows, Databases, networking, or security

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User: reedrobt

Instructor comments: Dave is like an encyclopedia of technical topics...what "doesn't" he have expertise in?

Facilities comments: Home2 location was well-kept and convenient to other services.