PP-212: CIPP/E Certified Information Privacy Professional Europe and GDPR Compliance

 

Course Overview:

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.

 

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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

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TN-413: Certified AI Program Manager (C|AIPM)

Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.

The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.

Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value

By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.

Course Objectives:

•MLOps Principles: Model life cycle management for scalable, production-ready AI
•Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives
•AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization
•AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions
•Change Management: Workforce enablement and stakeholder alignment
•KPI Development: AI metrics, success indicators, and executive dashboards
•AI Governance: Risk, ethics, compliance, and responsible AI principles
•Vendor Evaluation: AI platform and tool selection aligned with enterprise needs

Dates/Locations:

No Events

Prerequisites: Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed. 

TN-412: Artificial Intelligence Essentials (AI|E)

 

 

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

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