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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.

Course Overview:

 Cisco DoD Comply-to-Connect (C2C) course teaches you how to implement and deploy a Department of Defense (DoD) Comply-to-Connect network architecture using Cisco Identity Services Engine (ISE). This training covers implementation of 802.1X for both wired and wireless devices and how Cisco ISE uses that information to apply policy control and enforcement. Additionally, other topics like supplicants, non-supplicants, ISE profiler, authentication, authorization, and accounting (AAA) and public key infrastructure (PKI) support, reporting and troubleshooting are covered. Finally, C2C specific use case scenarios are covered.

This training also earns you 32 Continuing Education (CE) credits toward recertification.

Dates/Locations:

No Events

Duration: 5 days

 

Course Outline: 

Section 1: C2C Fundamentals

  • Comply to Connect Overview
  • From C2C to ZTA
  • Steps to Implement C2C

Section 2: Cisco Identity-Based Networking Services

  • Cisco IBNS Overview
  • AAA Role in Cisco IBNS
  • Compare Cisco IBNS and Cisco ISE Solutions
  • Explore Cisco IBNS Architecture Components

Section 3: Introducing Cisco ISE Architecture

  • Cisco ISE as a Network Access Policy Engine
  • Cisco ISE Use Cases
  • Cisco ISE Functions

Section 4: Introducing Cisco ISE Deployment

  • Cisco ISE Deployment Models
  • Cisco ISE Licensing and Network Requirements
  • Cisco ISE Context Visibility Features
  • New Features in Cisco ISE 3.X

Section 5: Introducing Cisco ISE Policy Enforcement Components

  • 802.1X for Wired and Wireless Access
  • MAC Authentication Bypass for Wired and Wireless Access
  • Identity Management
  • Active Directory Identity Source
  • Additional Identity Sources
  • Certificate Services

Section 6: Introducing Cisco ISE Policy Configuration

  • Cisco ISE Policy
  • Cisco ISE Authentication Rules
  • Cisco ISE Authorization Rules

Section 7: PKI and Advanced Supplicants

  • Public Key Infrastructure (PKI)
  • TEAP in Comply to Connect (C2C)
  • Secure Client ISE features and Configuration for C2C

Section 8: Introducing the Cisco ISE Profiler

  • Web Access with Cisco ISE
  • ISE Profiler
  • Cisco ISE Probes
  • Profiling Policy
  • Custom Attributes in Profile

Section 9: Introducing Cisco ISE Endpoint Compliance Services

  • Endpoint Compliance Services Overview

Section 10: Configuring Client Posture Services and Compliance

  • Client Posture Services and Provisioning Configuration

Section 11: Introducing Profiling Best Practices and Reporting

  • Profiling Best Practices

Section 12: C2C Use Cases

  • Cisco CX ISE Reporting Tool
  • ISE Reporting
  • ISE Hardening
  • Profiling Best Practices for C2C

Section 13: C2C Third-Party Integrations-Tenable

  • Tenable Use Case
  • Tenable Overview and Capabilities
  • Tenable Integration Prerequisites
  • Tenable Integration Configuration
  • Policy Design
  • Policy Enforcement
  • Enforcement Verification

Section 14: C2C Third-Party Integrations-MECM

  • MECM Use Case
  • MECM Overview and Capabilities
  • MECM Integration Prerequisites
  • MECM Integration Configuration
  • Policy Design
  • Policy Enforcement
  • Enforcement Verification

Section 15: C2C Third-Party Integrations-Trellix

  • Trellix Use Case
  • Trellix Overview and Capabilities
  • Trellix Integration Prerequisites
  • Trellix Integration Configuration
  • Policy Enforcement
  • Enforcement Verification

Section 16: Troubleshooting Cisco ISE Policy and Third-Party NAD

  • Cisco ISE Third-Party Network Access Device Support
  • Troubleshooting Cisco ISE Policy Configuration

Section 17: Exploring Cisco TrustSec

  • Cisco TrustSec Overview
  • Cisco TrustSec Enhancements
  • Cisco TrustSec Configuration

Section 18: Working with Network Access Devices

  • Reviewing AAA
  • Cisco ISE TACACS+ Device Administration
  • Configuring TACACS+ Device Administration
  • TACACS+ Device Administration Guidelines and Best Practices

 

Course Prerequisites: 

There are no prerequisites for this training. However, the knowledge and skills you are recommended to have before attending this training are:

  • Familiarity with 802.1X
  • Familiarity with Microsoft Windows Operating Systems
  • Familiarity with Cisco IOS CLI for wired and wireless network devices
  • Familiarity with Cisco Identity Service Engine

Course Overview:

This is an introductory course into the Python scripting language.  This class uses a hands-on approach in teaching the Python language.  This course builds the prerequisite skills for TechNow's P-345: Python for Pentration Testers course.  Getting comfortable with Python is important to understanding how Python can be utilitized for offensive measures.

This course is hands-on with the instructor walking the students through many short examples to exemplify an objective.  Dexterity with the language comes through many small code examples to produce the desired result.  Students have fun acquiring points for all the code examples they get correct.  We must be having fun because TechNow is always amazed at how competitive students are in trying to acquire the most points!  

The instructor will focus on the level that each student is currently at, and ensure the student absorbs the subject matter.  Programming is not a daily tasking of administrators or offensive operators and TechNow understands that.  As an instructor led course TechNow is very successful in making Python accessible to those who do not live eat and breath programming.  If a student's ultimate goal is to attend a course like TechNow's P-345: Python for Pentration Testers course, then not being bogged down in the Python language is critical, and this course (P-325: Python Programming) meets that objective.

Recently we have introduced Raspberry Pi's and multiple sensors to the P-325: Python Programming course.  This enables the student to actually see productive results from their coding skills in the physical world!  Some examples that students create programs for are: Motion detectors, distance, temperature, cameras and keypads.

Attendees to P-325: Python Programming will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • How Python Runs Programs
  • Introducing Python Object Types
    • Numeric Types
    • Dynamic Typing
  • Variables
  • Regular Expressions
  • Strings
  • Conditionals
    • if Tests and Syntax Rules
  • Lists and Dictionaries
  • Tuples and Files
  • Introducing Python Statements
  • Assignments, Expressions, and Prints
  • while and for Loops
  • Iterations and Comprehensions
  • Documentation
  • Function Basics
  • Built-In Functions
  • Scopes
  • Arguments
  • Modules
  • Module Packages and Importing
  • Classes and OOP
  • Operator Overloading
  • Recursion
  • Exception Coding Details
  • Exception Objects
  • Unicode and Byte Strings
  • Working with Raspberry Pi
    • Writing code for sensors

Prerequisites:

  • Experience with some form of programming is preferred

 

Comments

Latest comments from students


User: slewis8435

Instructor comments: Very good instructor - he was excited about the material, very knowledgeable, and explained things clearly.

Facilities comments: The facilities were fine - plenty of room for each student to set up an extra computer and have room for note taking


User: nathan.karras

Instructor comments: Instructor was extremely knowledgeable in programming and scripting. He encouraged students to explore and ask questions. He would work with individuals to troubleshoot lab problems sets. Would highly recommend as an instructor.

Facilities comments: Room got a little warn. Instructor purchased fans to cool things off for the class. Projector had over scan.


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