The Department of Defense requires that all information assurance personnel must become compliant with IT and security certification standards.
DoD 8570 training, also called Information Assurance training, is available through TechNow to provide you with the certification that is required. Your DoD 8570 training ( information assurance training ) at TechNow will provide you with all of the courses necessary to receive your DoD 8570.01-M certification.
Ongoing open enrollment through TechNow is availble for our DoD 8570.01-M courses.
Please review the full & updated DoD approved IA baseline certifications aligned to each category & level of the IA workforce:
Note: The Certifications in red are recently added to approved list as of 2/4/19
For further information or to schedule for classes, call us at 800-324-2294
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
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 UNIX Security Administrator Prep is a hands-on course that covers how to secure and audit UNIX and Linux operating systems. This includes concepts such as Rootkits, Buffer overflows, and monitoring UNIX/Linux systems.
Attendees to TN-959: Unix Security Administratorwill receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Duration: 5 days
Course Objectives:
AIDE
Apache
Best Practices for Kernel Tuning and Warning Banners
Boot Services
Chroot()
DNS- BIND
DNSSec
Evidence Collection and Preservation
Forensic Analysis
Forensic Preparation and Incident Handling
Host Based Firewalls – iptables
Intro to Forensics
OS Install and Patching
Physical, User Account, and Password Access Control
This course delivers the technical knowledge, insight, and hands-on training to receive in-depth knowledge on Wireshark® and TCP/IP communications analysis. You will learn to use Wireshark to identify the most common causes of performance problems in TCP/IP communications. You will learn about the underlying theory of TCP/IP and the most used application protocols, so that you can intelligently examine network traffic for performance issues or possible Indicators of Compromise (IoC).
Duration: 5 Days
Audience:
Anyone interested in learning to troubleshoot and optimize TCP/IP networks and analyze network traffic with Wireshark, especially network engineers, information technology specialists, and security analysts.
Course Prerequisites:
We recommend that attendees of this course have the following prerequisite:
• Network+
Dates/Locations:
No Events
Course Outline:
DAY ONE
Course Set Up and Analyzer Testing
Network Analysis Overview
Wireshark Functionality Overview
Capturing Wired and Wireless Traffic
Define Global and Personal Preferences for Faster Analysis
Defined Time Values and Interpret Summaries
Interpret Basic Trace File Statistics to Identify Trends
Create and Apply Display Filters for Efficient Analysis
DAY TWO
Follow Streams and Reassemble Data
Use Wireshark’s Expert System to Identify Anomalies
TCP/IP Analysis Overview
Analyze Common TCP/IP Traffic Patterns
DAY THREE
Graph I/O Rates and TCP Trends
802.11 (WLAN) Analysis Fundamentals
Voice over IP (VoIP) Analysis Fundamentals
Network Forensics Fundamentals
DAY FOUR
Detect Scanning and Discovery Processes
Analyze Suspect Traffic
