AZ-500: Microsoft Azure Security Technologies

Course Overview:

Gain the knowledge and skills needed to implement security controls, maintain the security posture, and identify and remediate vulnerabilities by using a variety of security tools. The course covers scripting and automation, virtualization, and cloud N-tier architecture.

After completing this course, students will be able to describe specialized data classifications on Azure, Identify Azure data protection mechanisms, Implement Azure data encryption methods, Secure internet protocols and how to implement them on Azure, Describe Azure security services and features.

TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.

Attendees to AZ-500: Microsoft Azure Security Technologies will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Outline:

Identity and access
- Configure Azure Active Directory for Azure workloads and subscriptions
- Configure Azure AD Privileged Identity Management
- Configure security for an Azure subscription
Platform Protection
- Understand cloud security
- Build a network
- Secure network
- Implement host security
- Implement platform security
- Implement subscription security
Security Operations
- Configure security services
- Configure security policies by using Azure Security Center
- Manage security alerts
- Respond to and remediate security issues
- Create security baselines
Data and Applications
- Configure security policies to manage data
- Configure security for data infrastructure
- Configure encryption for data at rest
- Understand application security
- Implement security for application lifecycle
- Secure applications
- Configure and manage Azure Key Vault

Prerequisites :

- - AZ-900: Microsoft Azure Fundamentals
  - Students should have 1-2 years professional development experience and experience with Microsoft Azure.
  - Student must be able to program in an Azure Supported Language.

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DoD 8570

DoD 8570 Training

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

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

Comments

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Liked the class? Then let everyone know!

DoD 8570

DoD 8570 Training

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 available 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.

For further information or to schedule for classes, call us at 800-324-2294

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.