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Course Overview:
Implementing Cisco IOS Network Security (IINS) is an instructor-led course. This five-day course focuses on the necessity of a comprehensive security policy and how it affects the posture of the network. TechNow students each get a Cisco Switch, Router, and an ASA. The in the classrom hardware hands-on component of this course is a priority. Using instructor-led discussions, extensive hands-on lab exercises, and supplemental materials, this course allows learners to understand common security concepts, and deploy basic security techniques utilizing a variety of popular security appliances within a “real-life” network infrastructure. TechNow is an Authorized VUE testing partner and this course concludes with the student taking the 210-260 IINS Cisco Certification Exam.
Duration: 5 days
Audience: Cisco Network Administrators. This course is an excellent precursor to Palo Alto Network Firewall Training
DoD 8140: Not Mandated
Course Prerequisites: CCNA
Course Objectives:
- Describe common network security concepts
- Secure routing and switching infrastructure
- Deploy basic authentication, authorization and accounting services
- Deploy basic firewalling services
- Deploy basic site-to-site and remote access VPN services
- Describe the use of more advanced security services such as intrusion protection, content security and identity management
Attendees to N-325: Implementing Cisco IOS Network Security will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
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Course Overview:
This course engages students by providing in-depth knowledge of the most prominent and powerful attack vectors and an environment to perform these attacks in numerous hands-on scenarios. This course goes far beyond simple scanning for low-hanging fruit, and shows penetration testers how to model the abilities of an advanced attacker to find significant flaws in a target environment and demonstrate the business risk associated with these flaws.
A skills focus enables the student to better absorb the subject matter and perform successfully on the job. This is not death by power point. The course is aligned with information assurance operators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics of the attacks and the effectiveness.
Attendees to TN-989: Advanced Penetration Testing, Exploits, and Ethical Hacking course will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Course Duration: 5 days
Course Objectives:
- Accessing the Network
- Advanced Fuzzing Techniques
- Advanced Stack Smashing
- Attacking the Windows Domain – Enumeration
- Attacking the Windows Domain – Restricted Desktops
- Attacking the Windows Domain – The Attacks
- Building a Metasploit Module
- Crypto for Penetration Testers
- Exploiting the Network
- Fuzzing Introduction and Operation
- Introduction to Memory and Dynamic Linux Memory
- Introduction to Windows Exploitation
- Manipulating the Network
- Python and Scapy For Penetration Testers
- Shellcode
- Smashing the Stack
- Windows Heap Overflow Introduction
- Windows Overflows
Course Prerequisites:
- GSEC or equivalent experience
- UNIX, Windows, Networking, and Security Experience
- This is a hands-on skill course requiring comfort with command line interaction and network communications
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User: ryanv Instructor comments: Great. Facilities comments: N/A. Hotel. User: sean.hollinger Instructor comments: Instructor is technically knowledgeable as he has been on every course I've taken with TechNow. Facilities comments: adequate
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Course Overview:
CT-395: CompTIA CySA+ Cybersecurity Analyst is for IT professionals looking to gain IT security analyst skills, and for those following the recommended skills pathway to achieve cybersecurity mastery. It provides a bridge between CompTIA Security+ (CT-325) and CompTIA SecurityX (CT-425), thus completing a certification path within the CompTIA family of certifications. As attackers have learned to evade traditional signature-based solutions, an analytics-based approach has become extremely important. CySA+ applies behavioral analytics to the IT security market to improve the overall state of security. The CompTIA Cybersecurity Analyst (CySA+) certification verifies that successful candidates have the knowledge and skills required to configure and use threat detection tools, perform data analysis and interpret the results to identify vulnerabilities, threats and risks to an organization, with the end goal of securing and protecting applications and systems within an organization. Let us help you bridge this gap, and leave you prepared for the certification exam (CS0-003).
TechNow is a CompTIA partner uses official CompTIA CySA+ curriculum.
Dates/Locations:
| Date/Time | Event |
|---|---|
|
08/24/2026 - 08/28/2026 08:00 -16:00 |
CT-395: CySA+ Cybersecurity Analyst TechNow, Inc, San Antonio TX |
|
11/16/2026 - 11/20/2026 08:00 -16:15 |
CT-395: CySA+ Cybersecurity Analyst TechNow, Inc, San Antonio TX |
Duration: 5 Days
Course Objectives:
- Threat Management
- Vulnerability Management
- Cyber Incident Response
- Security Architecture and Tool Sets
Prerequisites:
While there is no required prerequisite, the CompTIA CySA+ certification is intended to follow CT-325: Security+ or equivalent experience. It is recommended for CompTIA CySA+ candidates to have the following:
- 3-4 years of hands-on information security or related experience
- Network+, Security+, or equivalent knowledge.
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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.