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!

TN-575: Open Source Network Security Monitoring

Course Overview:

TN-575: Open Source Network Security Monitoring teaches students how to deploy, build, and run an NSM operation using open source software and vendor-neutral tools. No network is bullet proof and when attackers access your network, this course will show you how to build a security net to detect, contain, and control the attacker. Sensitive data can be monitored and deep packet and deep attachment analysis can be achieved. As organizations stand up a Security Operations Center (SOC) the enterprise NSM is the key ingredient to that SOC. This course not only teaches how to implement an NSM technologically, but how to effectively monitor an enterprise operationally. You will learn how to architect an NSM solution: where to deploy your NSM platforms and how to size them, stand-alone or distributed, and integration into packet analysis, interpret evidence, and integrate threat intelligence from external sources to identify sophisticated attackers. A properly implemented NSM is integral to incident response and provides the responders timely information to react to the incident. TN-575: Open Source Network Security Monitoring is a lab intensive environment with a cyber range that gives each student in-depth knowledge and practical experience monitoring live systems to include: Cisco, Windows, Linux, IoT, and Firewalls.

Attendees to TN-575: Open Source Network Security Monitoring class will receive TechNow approved course materials and expert instruction.

This Course is taught utilizing Security Onion or RockNSM as specified by the customer.

Dates/Locations:

No Events

Duration: 5 Days

Course Objective:

The focus of this course is to present a suite of Open Source security products integrated into a highly functional and scalable Network Security Monitoring solution.

Prerequisites:

Students should have a basic understanding of networks, TCP/IP and standard protocols such as DNS, HTTP, etc. Some Linux knowledge/experience is recommended, but not required

Course Outline:

Network Security Monitoring (NSM) Methodology
High Bandwidth Packet Capture Challenges
Installation of Security Onion
- Use Cases (analysis, lab, stand-alone, distributed)
- Resource Requirements
Configuration
- Setup Phase I – Network Configuration
- Setup Phase 2 – Service Configuration
- Evaluation Mode vs. Configuration Mode
- Verifying Services
Security Onion Architecture
- Configuration Files and Folders
- Network Interfaces
- Docker Environment
- Security Onion Containers
Overview of Security Onion Analyst Tools
- Kibana
- CapME
- CyberChef
- Squert
- Sguil
- NetworkMiner
Quick Review of Wireshark and Packet Analysis
- Display and Capture Filters
- Analyze and Statistics Menu Options
- Analysis for Signatures
Analyzing Alerts
- Replaying Traffic
- 3 Primary Interfaces:
  - Squert
  - Sguil
  - Kibana
- Pivoting Between Interfaces
- Pivoting to Full Packet Capture
Snort and Surricata
- Rule Syntax and Construction
- Implementing Custom Rules
- Implementing Whitelists and Blacklists
Hunting
- Using Kibana to Slice and Dice Logs
- Hunting Workflow with Kibana
Bro
- Introduction and Overview
  - Architecture, Commands
- Understanding and Examining Bro Logs
  - Using AWK, sort, uniq, and bro-cut
- Working with traces/PCAPs
- Bro Scripts Overview
  - Loading and Using Scripts
- Bro Frameworks Overview
  - Bro File Analysis Framework FAF
- Using Bro scripts to carve out more than files
RockNSM ( * If Applicable)
- Kafka
  - Installation and Configuration
  - Kafka Messaging
  - Brokers
  - Integration with Bro and FSF
- File Scanning Framework FSF
  - Custom YARA Signatures
  - JSON Trees
  - Sub-Object Recursion
  - Bro and Suricata Integration
Elastic Stack
- Adding new data sources in Logstash
- Enriching data with Logstash
- Automating with Elastalert
- Building new Kibana dashboards
Production Deployment
- Advanced Setup
- Master vs Sensor
- Node Types – Master, Forward, Heavy, Storage
- Command Line Setup with sosetup.conf
- Architectural Recommendations
- Sensor Placement
- Hardening
- Administration
- Maintenance
Tuning
- Using PulledPork to Disable Rules
- BPF’s to Filter Traffic
- Spinning up Additional Snort / Suricata / Bro Workers to Handle Higher Traffic Loads

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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-715: Systems Security Certified Practitioner (SSCP)

Course Overview:

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.

Dates/Locations:

Date/Time	Event
04/27/2026 - 05/01/2026 08:00 -16:00	TN-715: Systems Security Certified Practitioner (SSCP) TechNow, Inc, San Antonio TX
07/13/2026 - 07/17/2026 08:00 -16:00	TN-715: Systems Security Certified Practitioner (SSCP) TechNow, Inc, San Antonio TX
10/05/2026 - 10/09/2026 08:00 -16:00	TN-715: Systems Security Certified Practitioner (SSCP) TechNow, Inc, San Antonio TX

Duration: 5 Days

Course Objectives:

Access Controls
Security Operations and Administration
Analysis and Monitoring
Cryptography
Networks and Telecommunications
Malicious Code/Malware
Risk, Response, and Recovery

Prerequisites:

One year security experience
Some knowledge of the (ISC²)®’s seven domains

Comments

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User: boyleb15

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

Facilities comments: adequate

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PP-222: CIPM Certified Information Privacy Manager and GDPR Compliance

Course Overview:

Every organization has data protection needs. Every day, we access, share and manage data across companies, continents and the globe. Knowing how to implement a privacy program is an invaluable sill that will help you protect your organization’s data- and take your career to the next level. Our Principles of Privacy Program Management training is the premier course on implementing a privacy program framework, managing the privacy program operational lifecycle and structuring a privacy team. With a CIPM and CIPP/E combined you’ll be uniquely equipped to fulfill the DPO requirements of the GDPR. Here is our CIPM + CIPP/E 4 Day GDPR Ready

What’s Included:

Authorized courseware
Exam voucher
IAPP membership

**GDPR Regulation Mandated May 25, 2018**

Course Objectives:

Principles of Privacy Program Management is the how-to training on implementing a privacy program framework, managing the privacy program operational lifecycle and structuring a knowledgeable, high-performing privacy team. Those taking this course will learn the skills to manage privacy in an organization through process and technology-regardless of jurisdiction or industry. The Principles of Privacy Program Management training is based on the body of knowledge for the IAPP’s ANSI accredited Certified Information Privacy Manager (CIPM) certification program.

Attendees to PP-222: CIPM Certified Information Privacy Manager and GDPR Compliance will receive TechNow approved course materials and expert instruction, and certification test voucher and certificate of course completion.

TechNow is a International Association of Privacy Professionals (IAPP) Partner, and utilizes official curriculum from International Association of Privacy Professionals (IAPP).

TechNow has taught security courses for over 20 years, before most certifications existed and has successfully moved students through certification programs associated with IAPP, SANS, EC-Council and ISC2. Our instructor maintains over a dozen security certifications and has been the director of a company with internationals sales and compliance.

Dates/Locations:

No Events

Duration: 2 Days

Course Content:

Module 1: Introduction to Privacy Program Management
Module 2: Privacy Governance
Module 3: Applicable Laws and Regulations
Module 4: Data Assessments
Module 5: Policies
Module 6: Data Subjects’ Rights
Module 7: Training and Awareness
Module 8: Protecting Personal Information
Module 9: Data Breach Incident Plans
Module 10: Measuring, Monitoring and Auditing Program Performance

Prerequisites: None

Target Audience:

Data Protection Officers, Data Protection Managers, Auditors, Legal Compliance Officers, Security Manager, Information Managers, Anyone who uses processes and maintains personal data

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