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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http://technow.www162-254-253-232.a2hosted.com/palo-alto-firewall-essentials-fasttrack-training-class-course-pa-215/

Course Overview:

PA-215: Palo Alto Networks Firewall Essentials FastTrack Training Class is a five-day course that teaches students to configure and manage the entire line of Palo Alto Networks next-generation firewalls. Through hands-on training, students learn high end skills of how to integrate Palo Alto next-generation firewalls into their network infrastructure.This is not a virtualized theoretical course. This is hands-on, real world instruction, directly relevant to the DoD and Commercial implementations of Palo Alto Networks next-generation firewalls.

Each student is issued a physical Palo Alto firewall and a Cisco layer 3 switch at their desk. Real hardware per student for real experience and real skill development. TechNow provides a very comprehensive client infrastructure that includes Windows, Linux, and multiple packet sniffer agents.

This course sets up the foundation for the two day course PA-222: Palo Alto Networks Panorama Essentials.

The instructor for this course has been a lead in Unix kernel development to implement firewall and intrusion detection technologies. Additionally, the instructor has taught several security appliance products and carries several SANS, Cisco, Unix, and Windows certifications.

Attendees to the PA-215: Palo Alto Firewall Essentials FastTrack Training Course will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration 5 days

Course Objectives:

Students attending this foundational-level training course will gain an in-depth knowledge of how to configure and manage their Palo Alto Networks firewall, including hands-on experience in configuring the security, networking, threat prevention, logging, and reporting features of the Palo Alto Networks Operating System (PAN-OS).

Day 1 Module 0 – Introduction & Overview Module 1 – Administration & Management Configuration Management PAN-OS & Software Updates Service Route Configuration Log Forwarding GUI, CLI, and API Module 2 – Interface Configuration L2 & L3 Vwire Tap Interface Management in Security Zones VLANs QoS	Day 2 Module 3 – Layer 3 Configuration L3 Configuration and DHCP NAT DNS Proxy Policy Based Forwarding in Introduction to IPv6 Module 4 – App-ID App-ID Process Policy Administration Module 5 – Content-ID Antivirus Anti-spyware Vulnerability URL Filtering File Blocking and Wildfire Data Filtering DoS Protection Botnet
Day 3 Module 6 – VM Firewall Downlaod VM Template Configure ESXi Configure VM Module 7 – Decryption SSL Inbound and Outbound Module 8 – Custom Signatures Defining New Application Signatures Application Override Custom Threat ID	Day 4 Module 9 – User-ID User-ID Agent Terminal Server Agent XML API Captive Portal Module 10 – VPN and GlobalProtect Psec Tunnels GlobalProtect Agent Portal Gateway HIP
Day 5 Module 11 – High Availability Active/Passive Active/Active Module 12 – Panorama Device Groups & Objects Shared Policy Configuration Management Reporting

Prerequisites:

Security+, Network+, CCNA and networking experience is recommended.

This course is in no way associated with Palo Alto Networks, Inc.

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TN-865: Wireshark Network Traffic and Security Analysis

Course Overview:

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

DAY FIVE

Use Command‐Line Tools

TN-535: Certified Forensic Computer Examiner (CFCE)

CCFE Core Competencies

Procedures and Legal Issues
Computer Fundamentals
Partitioning Schemes
Data Recovery
Windows File Systems
Windows Artifacts
Report writing (Presentation of Finding)

Procedures and Legal issues

Knowledge of search and subjection and rules for evidence as applicable to computer forensics.
Ability to explain the on-scene action taken for evidence preservation.
Ability to maintain and document an environment consolidating the computer forensics.

Computer Fundamentals

Understand BIOS
Computer hardware
Understanding of numbering system (Binary, hexadecimal, bits, bytes).
Knowledge of sectors, clusters, files.
Understanding of logical and physical files.
Understanding of logical and physical drives.

Partitioning schemes

Identification of current partitioning schemes.
Understanding of primary and extended partition.
Knowledge of partitioning schemes and structures and system used by it.
Knowledge of GUID and its application.

Windows file system

Understanding of concepts of files.
Understanding of FAT tables, root directory, subdirectory along with how they store data.
Identification, examination, analyzation of NTFS master file table.
Understanding of $MFT structure and how they store data.
Understanding of Standard information, Filename, and data attributes.

Data Recovery

Ability to validate forensic hardware, software, examination procedures.
Email headers understanding.
Ability to generate and validate forensically sterile media.
Ability to generate and validate a forensic image of media.
Understand hashing and hash sets.
Understand file headers.
Ability to extract file metadata from common file types.
Understanding of file fragmentation.
Ability to extract component files from compound files.
Knowledge of encrypted files and strategies for recovery.
Knowledge of Internet browser artifacts.
Knowledge of search strategies for examining electronic

Windows Artifacts

Understanding the purpose and structure of component files that create the windows registry.
Identify and capability to extract the relevant data from the dead registry.
Understand the importance of restore points and volume shadow copy services.
Knowledge of the locations of common Windows artifacts.
Ability to analyze recycle bin.
Ability to analyze link files.
Analyzing of logs
Extract and view windows logs
Ability to locate, mount and examine VHD files.
Understand the Windows swap and hibernation files.

Report Writing (Presentation of findings)

Ability to conclude things strongly based on examination observations.
Able to report findings using industry standard technically accurate terminologies.
Ability to explain the complex things in simple and easy terms so that non-technical people can understand clearly.
Be able to consider legal boundaries when undertaking a forensic examination

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.