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
The focus of Red Hat OpenStack Administration I: Core Operations for Cloud Operators (CL110) will be managing OpenStack using both the web-based dashboard and the command-line interface, in addition to managing instances and installing a proof-of-concept environment using Red Hat OpenStack Platform (RHOSP) director. Essential skills covered in the course include configuring Red Hat OpenStack Platform (using the director UI); managing users, projects, flavors, roles, images, networking, and block storage; setting quotas; and configuring images at instantiation.
Attendees to CL-115 Red Hat OpenStack Administration I: Core Operations for Cloud Operators will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Prerequisites:
This course is designed for Linux system administrators, cloud administrators, and cloud operators interested in, or responsible for, maintaining a private or hybrid cloud.
Prerequisites for this course is Red Hat Certified System Administrator (RHCSA) or demonstrate equivalent experience
Course Outline:
Launch an instance
Manage projects, quotas, and users
Manage networks, subnets, routers, and floating IP adresses
Create and manage block and object storage in the OpenStack framework
Customize instances with cloud-init
Deploy scalable stacks
Deploy RedHat OpenStack Platform using RHOSP director
Everyday, we access, share, manage and transfer data across companies, continents and the globe. Knowing the ins and outs of data protection requirements gives you the information you need to stay ahead of breaches-and help advance your career. CIPP/E training gives you comprehensive GDPR knowledge, perspective and understanding to ensure compliance and data protection success in Europe. With a CIPP/E and CIPM certification 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 Data Protection in Europe covers the essential pan-European and national data protection laws, as well as industry-standard best practices for corporate compliance with these laws. Those taking this course will gain an understanding of the European model for privacy enforcement, key privacy terminology and practical concepts concerning the protection of personal data and trans-border data flows.
The training is based on the body of knowledge for the IAPP’s ANSI accredited Certified Information Privacy Professional/Europe (CIPP/E) certification program.
Attendees to PP-212: CIPP/E Certified Information Privacy Professional Europe 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: Data Protection Laws
Module 2: Personal Data
Module 3: Controllers and Processors
Module 4: Processing Personal Data
Module 5: Information Provision
Module 6: Data Subjects’ Rights
Module 7: Security of Processing
Module 8: Accountability
Module 9: International Data Transfers
Module 10: Supervisions and Enforcement
Module 11: Compliance.
Prerequisites: None
Target Audience:
Data Protection Officers, Data Protection Lawyers, Records Managers, Information Officers, Compliance Officers, Human Resource Officers, Anyone who uses processes and maintains personal data
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