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!
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
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.
Looking to move up in the information security field? If you have at least one year of security experience, you qualify for the Systems Security Certified Practitioner (SSCP) certification, which offers junior security professionals a way to validate their experience and demonstrate competence with (ISC²)®’s seven domains.
Attendees to TN-715: Systems Security Certified Practitioner (SSCP) will receive TechNow approved course materials and expert instruction.
Instructor comments: Instructor was very knowledgeable on most items covered during this course. There were some topics he did lack the answer to. Instructor would also get sidetracked easily
User: keginth
Instructor comments: he was phenomenal with test prep and knew the book well
Red Hat System Administration: Linux Automation with Ansible is designed for Linux administrators and developers who need to automate repeatable and error-prone steps for system provisioning, configuration, application deployment, and orchestration. TechNow’s Ansible course facilitates the dynamic IT infrastructure through automation.
This course also supports DevOps practices through Ansible playbooks automating workflows. TechNow has operated Automated Unix and Linux environment for over 35 years and brings this field experience to the classroom utilizing ansible and discussing its impact on: Infrastructure (Linux, Windows, network devices), Cloud automation (AWS and Azure), Application deployment, Security & compliance, and CI/CD pipelines.
This course also ties in nicely with the TechNow course CL-355: Containers, Kubernetes, and Red Hat OpenShift Administration which provides an overview of the DoD Enterprise DevSecOps Platform (DSOP) Reference Design, its current state, and ties to DoD Cloud Platform One (P1).
Dates/Locations:
No Events
Duration: 5 days
Course Objectives:
An introduction to Ansible
Install and configure Ansible development tools in VS Code and configure Ansible setting
Create and update inventories of managed hosts and manage connections to them
Automate administration tasks with Ansible Playbooks
Write effective playbooks at scale
Protect sensitive data used by Ansible Automation Platform with Ansible Vault
Reuse code and simplify playbook development with Ansible Roles and Ansible Content Collections
