Course Overview:

This hands-on training course builds your skills in the VMware ViewTM suite of products: VMware View Manager, VMware View Composer, and VMware® ThinAppTM.  Based on customer specification, this course can be based on View 4.x or 5.x, and ThinApp 4.x or 5.x releases.

Attendees to VM-325: VMware View: Install, Configure and Manage will receive TechNow approved course materials and expert instruction.

At the end of this course, you should understand the features and operations of View and be able to:

  • Install and configure View components
  • Create and manage dedicated and floating desktop pools
  • Deploy and manage linked-clone virtual desktops
  • Configure and manage desktops that run in local mode
  • Configure secure access to desktops through a public network
  • Use ThinApp to package applications

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Module 1: Course Introduction
  • Module 2: Introduction to VMware View
  • Module 3: View Connection Server
  • Module 4: View Desktops
  • Module 5: View Client Options
  • Module 6: View Administratory
  • Module 7: Configuring and Managing Linked Clones
  • Module 8: Local-Mode Desktops
  • Module 9: Command-Line Tools and Backup Options
  • Module 10: Managing VMware View Security
  • Module 11: View Manager Performance and Scalability
  • Module 12: VMware® ThinAppTM

Prerequisites:

  • VM-315: VMware Infrastructure: Install, Configure and Manage
  • Experience in Microsoft Windows Active Directory Administration
  • Experience with VMware vSphereTM
  • Before attending the course, students must be able to perform the following tasks:
    • Create a template in VMware vCenterTM Server and deploy a virtual machine from it
    • Modify a template customization file
    • Open a virtual machine console in vCenter Server and access the guest operating system
    • Configure Active Directory services

 

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Course Overview:

Windows Forensic Analysis is a hands-on course that covers digital forensics of the Microsoft Windows operating system.  The collection and analysis of data tracking user based activity that can be used for internal purposes or legal litigation.  TechNow has the student analyze many data images for various Windows operating systems, as current as Windows 8.1, Windows 10  in an environment that uses many Cloud technologies such as  Office365, Skydrive, Sharepoint, Exchange Online, and Windows Phone.

This is not death by power point. The course is aligned with digital forensic investigators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics of Windows Forensic Analysis.

Attendees to TN-909: Windows Forensic Analysis will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Windows Operating System Components
  • Core Forensic Principles
  • Live Response and Triage-Based Acquisition Techniques
  • Windows Image Mounting and Examination
  • Memory, Pagefile, Filesystems
  • Data and Metadata
  • Profiling systems and users
  • Tracking USB and BYOD
  • Log and Registry Analysis
  • User Communications
  • Email Forensics
  • Browser Forensics
  • Reporting and  Presentation

Course Prerequisites:

  • Windows and Security Experience

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Course Overview:

TechNow has worked worldwide enterprise infrastructures for over 30 years and has developed demos and labs to exemplify the techniques required to demonstrate technologies that effectively support CTI.  This course integrates well with our courses TN-575: Open Source Network Security Monitoring and TN-865: Wireshark Network Traffic and Security Analysis .

TechNow develops Cyber Ranges and makes them available for conferences in support of annual meetings for Cyber Threat Response Teams.  Developing scenarios and reacting to them appropriately is a big part of the value in understanding the contexts required to comprehend valuable CTI.   As with many advanced TechNow security courses, there is a large hands-on ratio.  This course helps Cyber Protection Teams (CPT), Defensive Cyber Operations (DCO), and Mission Defense Teams (MDT) to collect, analyze and apply targeted cyber intelligence to defensive operations in order to proactively act on and tune response to attacks by cyber adversaries.  CPT, DCO, and MDT can take preemptive action by utilizing CTI, understanding CTI tools, techniques and procedures (TTPs) needed to generate and consume timely and relevant intelligence to improve resilience and prevention.

This course focuses on the collection, classification, and exploitation of knowledge about adversaries and their TTPs. .  MDT puts us close the mission and helps define the internal context to be analyzed against the CTI.  TechNow pushes the student to truly understand how to think about and use CTI to make a difference.

Attendees to TN-905: Cyber Threat Intelligence Analysis will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Objectives:

  • Learn to comprehend and develop complex scenarios
  • Identify and create intelligence requirements through practices such as threat modeling
  • Utilize threat modeling to drive intelligence handling and practices 
  • Breakdown tactical, operational, and strategic-level threat intelligence
  • Generate threat intelligence to detect, respond to, and defeat focused and targeted threats
  • How to collect adversary information creating better value CTI
  • How to filter and qualify external sources, mitigating low integrity intelligence
  • Create Indicators of Compromise (IOCs) in formats such as YARA, OpenIOC, and STIX
  • Move security maturity past IOCs into understanding and countering the behavioral tradecraft of threats
  • Breaking down threats mapped against their tradecraft to tweak IOCs
  • Establish structured analytical techniques to be successful in any security role
  • Learn and apply structured principles in support of CTI and how to communicate that to any security role.

Course Prerequisites:

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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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