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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CompTIA

Increase your credibility, job security, and career opportunities by reaching your goal and getting certified!  TechNow offers many CompTIA bootcamp style courses in which we administer an exam on the last day of class.  We have a proven testing program that will get you the results you want!

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AZ-500: Microsoft Azure Security Technologies

 

Course Overview:

Gain the knowledge and skills needed to implement security controls, maintain the security posture, and identify and remediate vulnerabilities by using a variety of security tools. The course covers scripting and automation, virtualization, and cloud N-tier architecture.

After completing this course, students will be able to describe specialized data classifications on Azure, Identify Azure data protection mechanisms, Implement Azure data encryption methods, Secure internet protocols and how to implement them on Azure, Describe Azure security services and features.

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

Attendees to AZ-500: Microsoft Azure Security Technologies will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Outline:

  • Identity and access
    • Configure Azure Active Directory for Azure workloads and subscriptions
    • Configure Azure AD Privileged Identity Management
    • Configure security for an Azure subscription
  • Platform Protection
    • Understand cloud security
    • Build a network
    • Secure network
    • Implement host security
    • Implement platform security
    • Implement subscription security
  • Security Operations
    • Configure security services
    • Configure security policies by using Azure Security Center
    • Manage security alerts
    • Respond to and remediate security issues
    • Create security baselines
  • Data and Applications
    • Configure security policies to manage data
    • Configure security for data infrastructure
    • Configure encryption for data at rest
    • Understand application security
    • Implement security for application lifecycle
    • Secure applications
    • Configure and manage Azure Key Vault

Prerequisites :

      • AZ-900: Microsoft Azure Fundamentals
      • Students should have 1-2 years professional development experience and experience with Microsoft Azure.
      • Student must be able to program in an Azure Supported Language.

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AZ-900: Microsoft Azure Fundamentals

 

Course Overview:

This two-day course will provide foundational level knowledge on cloud concepts; core Azure services; security, privacy, compliance, and trust; and Azure pricing and support.

NOTE: This course provides an Azure pass and time for you to participate in hands-on labs. The content for this course aligns to AZ-900 exam objective domain

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

Attendees to AZ-900: Microsoft Azure Fundamentals will receive TechNow approved course materials and expert instruction.

Date/Locations:

Date/Time Event
08/03/2026 - 08/04/2026
08:00 -16:00 		AZ-900: Microsoft Azure Fundamentals
TechNow, Inc, San Antonio TX
11/09/2026 - 11/10/2026
08:00 -16:00 		AZ-900: Microsoft Azure Fundamentals
TechNow, Inc, San Antonio TX

Course Duration: 3 days

Course Outline:

  • Cloud Concepts
  • Core Azure Services
  • Security, Privacy, Compliance, And Trust
  • Azure Pricing and Support

Lab Objectives:

    • Create a virtual machine
    • Deploy Azure container instances
    • Create a virtual network
    • Create blob storage
    • Create a SQL database
    • Implement an Azure IoT Hub
    • Implement Azure Functions
    • Create a web app
    • Create a VM with a Template
    • Create a VM with PowerShell
    • Create a VM with CLI
    • Secure network traffic
    • Implement Azure key vault
    • Create an Azure Policy
    • Manage access with RBAC
    • Manage resource locks
    • Implement resource tagging
    • Exploring the Trust Center
    • Use the Azure Pricing Calculator
    • Use the Azure TCO Calculator
    • Open a Support request
    • Calculate composite SLAs
    • Access Azure Preview features

Prerequisites :

      • There are no prerequisites for taking this course. Technical IT experience is not required however some general IT knowledge or experience would be beneficial.
      • This course is suitable for IT personnel who are just beginning to work with Azure.
      • This course primarily uses the Azure portal to create services and does not require scripting skills.
      • Students in this course will gain confidence to take other role-based courses and certifications, such as Azure Administrator.
      • This course provides an Azure pass and optional lab environment.

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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.