Course Overview

This 2-day course provides an understanding of the advanced concepts and skills necessary to deploy and manage CloudGuard Network and Cloud Security Posture Management security solution within Azure security environment.

Course Topics:

•  Advanced Cloud Security

•  Cloud Management

•  Cloud Policy Design

•  Advance Cloud Automation 

•  Scaling Solutions

•  Clustering

•  Use Cases

•  Troubleshooting

Course Objectives

• Discuss Azure Platform Components and their relationship to Check Point CloudGuard Network Security. 

• Explain how to maintain a secure, efficient, and stable cloud environment. 

• Describe the components and constraints of a hub and spoke cloud security environment. 

• Describe the function of the Cloud Management Extension 

• Explain the purpose of identity and access controls and constraints in different cloud platforms. 

• Explain the steps required to configure Identity and Access controls in Azure. 

• Describe the purpose and function of the CloudGuard Controller, its processes, and how it is tied to the Identity Awareness feature. 

• Explain how to design and configure Cloud Adaptive Policies. 

• Discuss the purpose and function of Data Center Objects. 

• Describe the function and advantages of Cloud Service Provider (CSP) automation templates for instance and resource deployments.

• Explain how CSP templates can be used for maintenance tasks in the cloud environment.

• Discuss Third-Party Automation tools, how they can simplify deployment and maintenance tasks, and the constraints associated with them.

• Discuss Scaling Solutions and Options for Cloud Environments. 

• Explain the Scaling Options in Azure. 

• Describe the workflow for configuring scaling solutions in Azure. 

• Discuss how ClusterXL operates and what elements work together to permit traffic failover. 

• Explain how ClusterXL functions differently in a Cloud Environment. 

• Describe how clusters are created and function in Azure. 

• Discuss the elements involved in Hybrid Data Center deployments, the advantages of them, and the constraints involved. 

• Explain the nature of a “Greenfield” deployment, the advantages of it, and the constraints involved. 

• Describe the components and constraint involved in deploying a Disaster 

• Recovery Site in the cloud. 

• Discuss the steps required for troubleshooting automation in Azure. 

• Explain the steps required for troubleshooting Scaling Solution issues in Azure. 

• Describe the steps required for troubleshooting clusters in Azure.

Course Content

• Deploy a Security Management Server. 

• Connect to SmartConsole. 

• Configure Azure Active Directory and the Service Principle. 

• Install the Cloud Management Extension. 

• Configure the Cloud Management Extension. 

• Configure the Access Control Policy. 

• Assign the Service Principle. 

• Create the CloudGuard Controller Object. 

• Configure Access Control Policy with a Data Center Object. 

• Deploy the Spoke vNets. 

• Create the Spoke Route Table. 

• Deploy Web Servers into the Spoke vNets. 

• Deploy the Virtual Machine Scale Set. 

• Assign the Service Principle to the VMSS Resource Group.

• Enable Indentity Awareness on the VMSS. 

• Create Load Balancer Rules. 

• Create vNet Peers. 

• Create Web Server Access Control policy. 

• Deploy the Azure High Availability Solution. 

• Create the Cluster Object. 

• Configure the vNet Peering. 

• Create the Internal User Defined Routes. 

• Create the Security Policy for Internal Traffic. 

• Test the Internal Traffic. 

• Troubleshoot the CloudGuard Controller. 

• Debugs the CloudGuard Controller. 

• Debug the Cloud Management Extension.

Course Overview

This 2-day course provides an understanding of the advanced concepts and skills necessary to deploy and manage CloudGuard Network and Cloud Security Posture Management security solution within AWS security environment.

Course Topics:

• Advanced Cloud Security

• Cloud Management

• Cloud Policy Design

• Advance Cloud Automation 

• Scaling Solutions

• Clustering

• Use Cases

• Troubleshooting

Course Objectives

• Discuss AWS Platform Components and their relationship to Check Point CloudGuard Network Security. 

• Explain how to maintain a secure, efficient, and stable cloud environment. 

• Describe the components and constraints of a hub and spoke cloud security environment. 

• Describe the function of the Cloud Management Extension 

• Explain the purpose of identity and access controls and constraints in different cloud platforms. 

• Explain the steps required to configure Identity and Access controls in AWS. 

• Describe the purpose and function of the CloudGuard Controller, its processes, and how it is tied to the Identity Awareness feature. 

• Explain how to design and configure Cloud Adaptive Policies. 

• Discuss the purpose and function of Data Center Objects. 

• Describe the function and advantages of Cloud Service Provider (CSP) automation templates for instance and resource deployments.

• Explain how CSP templates can be used for maintenance tasks in the cloud environment.

• Discuss Third-Party Automation tools, how they can simplify deployment and maintenance tasks, and the constraints associated with them.

• Discuss Scaling Solutions and Options for Cloud Environments. 

• Explain the Scaling Options in AWS. 

• Describe the workflow for configuring scaling solutions in AWS. 

• Discuss how ClusterXL operates and what elements work together to permit traffic failover. 

• Explain how ClusterXL functions differently in a Cloud Environment. 

• Describe how clusters are created and function in AWS. 

• Discuss the elements involved in Hybrid Data Center deployments, the advantages of them, and the constraints involved. 

• Explain the nature of a “Greenfield” deployment, the advantages of it, and the constraints involved. 

• Describe the components and constraint involved in deploying a Disaster 

• Recovery Site in the cloud. 

• Discuss the steps required for troubleshooting automation in AWS. 

• Explain the steps required for troubleshooting Scaling Solution issues in AWS. 

• Describe the steps required for troubleshooting clusters in AWS

Course Overview

Certified CMMC Professional training course enables participants to acquire a comprehensive understanding of the Cybersecurity Maturity Model Certification (CMMC) model and its requirements. It is a gateway for assessors and instructors, as it is a prerequisite to Certified CMMC Assessor Level 1, Certified CMMC Assessor Level 3, and Certified CMMC Instructor certifications.

By attending the Certified CMMC Professional training course, you will acquire knowledge about the structure of the CMMC model including CMMC levels, domains, capabilities, processes, and practices. In addition, you will develop the ability to understand, differentiate, and explain the relationship between the CMMC and the primary reference documentation such as FAR 52.204-21, DFARS 252.204-7012, DFARS 252.204-7019-7021, NIST SP 800-171, NIST 800-172, NIST 800-53, CUI Definitions and Guidelines from NARA and DOD, and CERT RMM. You will also be able to (a) identify, describe, and compare the roles and responsibilities of each member of the CMMC ecosystem, (b) know what are the CMMC assessment phases, (c) identify and mitigate ethical concerns based on CMMC-AB Code of Professional Conduct, and (d) define and determine the roles and responsibilities for Federal Contract Information (FCI) and Controlled Unclassified Information (CUI).

This training course will allow you to become a valuable asset for consultancy agencies, CMMC Third-Party Assessment Organizations (C3PAOs), and organizations demanding CMMC trained resources.

This course is offered by Cyber Security Training and Consulting LLC, a Licensed Training Partner (LTP) of The Cyber AB/CAICO and PECB.

Course Objectives

This training course allows you to:

• Gain a comprehensive understanding of the CMMC maturity levels, domains, capabilities, processes, and practices
• Understand the relationship between CMMC model, FAR clause 52.204-21, DFARS clause 252.204-7012, NIST SP 800-171, and other standards and frameworks
• Gain the ability to interpret the requirements of the CMMC model in the specific context of an Organization Seeking Certification (OSC)
• Develop the necessary knowledge to support an organization in effectively planning, implementing, and attaining the required CMMC maturity level
• Gain an understanding of the CMMC ecosystem and assessment methodology

Course Content

• Day 1: Introduction to CMMC stakeholders, ecosystem, references, FCI, and CUI
• Day 2: CUI protection, CMMC model, domains, and CMMC levels 1 and 2
• Day 3: CMMC levels 3 and 4
• Day 4: CMMC level 5, CMMC assessment process, and code of professional conduct

Course Overview

This course follows the latest BCS syllabus and prepares delegates for the BCS examination.

You will gain an understanding of the main principals required to be an effective member of an information security team with security responsibilities as part of your day to day role.

This qualification will prove that the holder has knowledge of the concepts relating to information security, along with an understanding of current regulations and legislation.

An exam voucher is included with this course

Course Objectives

After completing this course you should have:

• Knowledge of the concepts relating to information security management (confidentiality, availability, vulnerability, threats, risks and countermeasures etc.)
• An understanding of current legislation and regulations which impact upon information security management in the UK; Awareness of current national and international standards, frameworks and organisations which facilitate the management of information security;
• An understanding of the current business and technical environments in which information security management has to operate;
• Knowledge of the categorisation, operation and effectiveness of controls of different types and characteristics.

Course Content

 1.  Information Security Management Principles – 10%

• 1.1 Concepts and definitions
• 1.2 The need for & benefits of Information Security

2.  Information Risk – 10%

• 2.1 Threats to & vulnerabilities of information systems
• 2.2 Risk Management

3.  Information Security Framework – 15%

• 3.1 Organisation and responsibilities
• 3.2 Legal framework
• 3.3 Security standards and procedures

4. Security Lifecycle – 10%

• 4.1 Importance and Relevance of Security Lifecyle
• 4.2 Stages of the Information Lifecyle
• 4.3 Lifecycle Design Process
• 4.4 Audit, Review and Change Control
• 4.5 Systems Development

5.  Procedural/people security controls – 15%

• 5.1 People
• 5.2 User access controls
• 5.3 Training

6.  Technical security controls – 25%

• 6.1 Protection from malicious software
• 6.2 Networks and communications
• 6.3 External services
• 6.4 Cloud computing
• 6.5 IT infrastructure

7. Physical and Environmental Security Controls – 5%

• 7.1 Physical and Environmental Considerations

8.  Disaster recovery and business continuity management  – 5%

• 8.1 Differences between Disaster Recovery and Business Continuity

9.  Other technical aspects – 5%

• 9.1 Investigations & forensics
• 9.2 Role of cryptography

Course Overview

AWS Security Essentials covers fundamental AWS cloud security concepts, including AWS access control, data encryption methods, and how network access to your AWS infrastructure can be secured. Based on the AWS Shared Security Model, you learn where you are responsible for implementing security in the AWS Cloud and what security-oriented services are available to you and why and how the security services can help meet the security needs of your organization.  This course enables you to dive deep, ask questions, work through solutions, and get feedback from AWS-accredited instructors with deep technical knowledge. This is a fundamental level course and is a part of the AWS Security learning path.

Course Objectives

This course is designed to teach you how to:

• Identify security benefits and responsibilities when using the AWS Cloud
• Describe the access control and management features of AWS 
• Understand the different data encryption methods to secure sensitive data
• Describe how to secure network access to your AWS resources 
• Determine which AWS services can be used for security logging and monitoring

Course Content

Module 1: Exploring the Security Pillar

• AWS Well-Architected Framework: Security Pillar

Module 2: Security of the Cloud

• Shared responsibility model
• AWS Global Infrastructure
• Compliance and governance

Module 3: Identity and Access Management

• Identity and access management
• Data access and protection essentials
• Lab 1: Introduction to Security Policies

Module 4: Protecting Infrastructure and Data

• Protecting your network infrastructure
• Edge Security
• DDoS Mitigation
• Protecting compute resources
• Lab 2: Securing VPC Resources with Security Groups

Module 5: Detection and Response

• Monitoring and detective controls
• Incident response essentials

Module 6: Course Wrap-Up

• Course review

Course Overview

Accelerate your cloud adoption journey. Your team will gain practical knowledge and skills that they can take back and implement into your organizations cloud initiatives. With real-world challenges, your team will be equipped to handle real-world scenarios. AWS Jam is a scenario-based, team-centered 1 day event where participants gain practical experience with a wide range of AWS services. AWS Jam scenarios relate to use cases, domains, and services covered in the classroom training course. The event is gamified with teams competing against each other by scoring points for completing specific challenges. Challenges have varying degrees of difficulty and are therefore worth differing amounts of points. A live leaderboard provides updates on scores and progress throughout the event. Clues and guidance can be provided to help teams move through challenges, but cost points. To play, AWS provides participants and teams with access to pre-created infrastructure.

Course Objectives

Immersive engagements encourage you to up-level your skills on AWS

Course Content

– Hands-on format, putting learners in the driver’s seat to make decisions and solve problems in an active AWS Cloud environment to amplify understanding

– Challenges based on real-world scenarios so your team can build practical skills

– Develop your team’s skillsets in the AWS Cloud to advance your cloud adoption journey

– Facilitated by an expert AWS instructor who can answer questions and give real time feedback

– Validate learning through reports on teams including benchmarks, completion times, and which challenges were the most difficult

– Reinforce your team’s learning while it’s still fresh in your team’s heads – AWS Jam can be added after the final day of classroom training class

Course Overview

This course introduces network administrators, operators, and DevOps engineers to the foundational and F5-specific technologies required to automate BIG-IP. 

Participants will gain exposure to multiple technologies for a variety of use cases and will have hands-on experience that leave them better prepared to automate the onboarding and configuration of BIG-IP.

Course Topics

• Review the Linux Command Line

• Review BIG-IP Application Creation

• Discuss Automation and DevOps Concepts

• Configuring BIG-IP with iControl REST

• Automating BIG-IP configuration with Application Services Extension 3 (AS3)

• Automating BIG-IP onboarding with Declarative Onboarding (DO)

Course Objectives

• Review Automation and DevOps concepts

• Describe the components of iControl REST calls and how they interact with BIG-IP

• Stand up and configure BIG-IP applications using iControl REST

• Describe the installation and use of AS3 and DO iApp LX components

• Automate the onboarding and configuration of BIG-IP

• Add advanced tools like Postman and Newman to your toolkit

Course Content

Chapter 1: Linux Command Line Review

• Navigating the Linux File System

• Creating and Deleting Files and Directories

• Copying and Moving Files

• Command Line Auto-Completion and Editing

• Tools for Analyzing Test Results and Inspecting Log Files

Chapter 2: BIG-IP Application Creation Review

• Understanding Load Balancing Basics

• Configuring Virtual Servers, Pools, Pool Members and Nodes

• Configuring Health Monitors and SSL Profiles

• Understanding the Full Proxy Architecture and Source Address Translation

Chapter 3: Automation and DevOps Concepts

• Understanding Infrastructure as Code, NetOps and DevOps

• Differentiating Automation and Orchestration Concepts

• Diving into DevOps Concepts such as Idempotency, Atomicity and Imperative vs Declarative

Chapter 4: Programming BIG-IP with iControl REST

• Introducing Basic JavaScript Types

• Introducing JavaScript Object Notation

• Discovering an existing BIG-IP Configuration using iControl REST

• Deploying Apps on BIG-IP using iControl REST

• Onboarding BIG-IP using iControl REST

• Working with JSON Programmatically

Chapter 5: Automating BIG-IP with AS3

• Introducing BIG-IP Applications Services Extension 3

• Creating BIG-IP Applications using AS3 with Curl

• Introducing Postman and Postman Tests

• Creating BIG-IP Applications using AS3 with Postman

• Using Newman and the Linux CLI to Create BIG-IP Applications with AS3

Chapter 6: Onboarding BIG-IP with DO

• Introducing Declarative Onboarding for BIG-IP

• Remotely Installing the Declarative Onboarding iApp LX

• Onboarding BIG-IP Declaratively

Course Overview

This 2-day course introduces network administrators, operators, and DevOps engineers to the foundational and F5-specific technologies required to automate BIG-IP.

Participants will gain exposure to multiple technologies for a variety of use cases and will have hands-on experience that leave them better prepared to automate the onboarding and configuration of BIG-IP.

Course Topics

• Review the Linux Command Line

• Review BIG-IP Application Creation

• Discuss Automation and DevOps Concepts

• Configuring BIG-IP with iControl REST

• Configuring BIG-IP programmatically with Ansible

Course Objectives

• Review Automation and DevOps concepts

• Describe the components of iControl REST calls and how they interact with BIG-IP

• Stand up and configure BIG-IP applications using iControl REST

• Describe the major components of Ansible and how they work together to configure BIG-IP

• Use flow control elements such as conditionals and looping in Ansible Playbooks

• Onboard and configure BIG-IP applications using Ansible

Course Content

Chapter 1: Linux Command Line Review

• Navigating the Linux File System

• Creating and Deleting Files and Directories

• Copying and Moving Files

• Command Line Auto-Completion and Editing

• Tools for Analyzing Test Results and Inspecting Log Files

Chapter 2: BIG-IP Application Creation Review

• Understanding Load Balancing Basics

• Configuring Virtual Servers, Pools, Pool Members and Nodes

• Configuring Health Monitors and SSL Profiles

• Understanding the Full Proxy Architecture and Source Address Translation

Chapter 3: Automation and DevOps Concepts

• Understanding Infrastructure as Code, NetOps and DevOps

• Differentiating Automation and Orchestration Concepts

• Diving into DevOps Concepts such as Idempotency, Atomicity and Imperative vs Declarative

Chapter 4: Programming BIG-IP with iControl REST

• Introducing Basic JavaScript Types

• Introducing JavaScript Object Notation

• Discovering an existing BIG-IP Configuration using iControl REST

• Deploying Apps on BIG-IP using iControl REST

• Onboarding BIG-IP using iControl REST

• Working with JSON Programmatically

Chapter 5: Automating BIG-IP with Ansible

• Introducing YAML

• Establishing an Ansible Trust Relationship

• Creating an Ansible Playbook

• Exploring the Playbook

• Working with the Inventory File

• Using the Command Module

• Gathering Facts for the Playbook

• Deploying Apps on BIG-IP using Ansible

• Deleting a BIG-IP Application

• Onboarding a BIG-IP system using Ansible

• Deploying BIG-IP HA

• Investigating Ansible Roles

Course Overview

Learn How to Boost your Cybersecurity Toolkit by Applying AI to Combat the OWASP Top Ten Vulnerabilities.

OWASP 2021 refers to the latest edition of the Open Web Application Security Project (OWASP) Top Ten list, which identifies the most critical web application security risks. It is a valuable resource as it provides organizations with insights into prevalent vulnerabilities, helping them prioritize their security efforts and fortify their applications against potential attacks.

Applying AI to the OWASP Top Ten is a two-day, expert led course geared for technical students eager to explore AI’s potency in mitigating cybersecurity threats. This course unravels the intersection of AI, cybersecurity, and ethical considerations with a focus on the OWASP top ten. The curriculum provides a detailed exploration of OWASP’s top ten security risks, illustrating how AI can be effectively applied to detect and mitigate these common threats, such as Injection and Broken Authentication.

Through engaging discussions, interactive activities, and case study reviews, attendees will delve into the practical application of sophisticated AI algorithms to counter prevalent OWASP risks. The course encompasses an array of OWASP-related topics including how to leverage AI to manage risks associated with Insufficient Logging & Monitoring and Using Components with Known Vulnerabilities, as well as how to prevent Cross-Site Scripting (XSS) and Insecure Deserialization through the power of AI. Emphasizing the importance of testing, validating, and fine-tuning AI models, the course provides a comprehensive understanding of these tools’ robustness and effectiveness in addressing OWASP risks. Integrating technical skills with ethical considerations, attendees will learn about designing and implementing AI models that adhere to ethical standards while effectively detecting and mitigating OWASP risks.

You’ll exit the course with a solid grasp of the crucial role AI plays in tackling OWASP’s most prominent security risks, equipped to help bolster your organization’s defense against cyber threats. You’ll understand how to leverage AI for cybersecurity and how to create AI models to combat common vulnerabilities outlined by the OWASP Top Ten. Whether the goal is to strengthen an organization’s security framework or to broaden personal understanding of AI and cybersecurity, this course offers the critical expertise needed to begin your journey into navigating the intricate realm of AI-enhanced cybersecurity.

Course Objectives

Throughout the course you’ll learn to:

• Understand the Complexities of OWASP: Develop a firm grasp on the OWASP Top Ten, gaining insights into the most significant web application security risks and the mechanisms behind these vulnerabilities.
• Navigate the Intersection of AI and Cybersecurity: Gain a foundational understanding of how artificial intelligence can be utilized in the field of cybersecurity, specifically in the context of mitigating OWASP risks.
• Master Detection and Mitigation Techniques: Learn to leverage AI to detect and mitigate common security risks such as Injection and Broken Authentication, and apply these skills to design effective AI models.
• Apply Advanced AI Algorithms: Harness the power of AI algorithms to address OWASP risks, seeing how to customize these algorithms for various security vulnerabilities.
• Tackle Real-World Security Challenges: Learn practical skills to manage risks associated with Insufficient Logging & Monitoring and Using Components with Known Vulnerabilities, while also learning methods to prevent Cross-Site Scripting (XSS) and Insecure Deserialization.
• Validate and Test AI Models: Learn the crucial process of validating and testing AI models, ensuring their robustness and effectiveness in detecting OWASP risks, while adhering to ethical standards in AI application.

Course Content

1. Introduction to AI, OWASP Top Ten, and AI Ethics

• Understand the intersection of AI, cybersecurity, and ethical considerations.
• Introduction to OWASP and the top ten security risks for web applications.
• Overview of AI and its applications in mitigating OWASP risks.
• Discussion on AI Ethics, including privacy concerns and biases in AI models.
• Exploring how AI can help mitigate these risks while ensuring ethical use.

2. AI for Injection and Broken Authentication Mitigation

• Learn how AI helps detect and mitigate Injection and Broken Authentication.
• Discussion on the nature of Injection and Broken Authentication attacks and their prevalence in OWASP.
• How AI can help in detecting these vulnerabilities in real time.
• Designing an AI model for mitigating these security risks. •
• Demo: Train a basic AI model to detect potential Injection and Broken Authentication attacks

3. Deep Dive into AI Algorithms and their application in mitigating OWASP Risks

• Comprehend the working mechanisms of key AI algorithms.
• Detailed analysis of AI algorithms used in mitigating OWASP security risks.
• Hands-on experience in choosing the right algorithm for a specific problem.
• Guided tutorial on customizing algorithms for different OWASP vulnerabilities.
• Demo: Selection and customization of AI algorithms for detecting Sensitive Data Exposure

4. AI for XML External Entity (XXE) and Security Misconfiguration Mitigation

• Gain skills to utilize AI for detecting and mitigating XXE and Security Misconfigurations.
• Introduction to XXE and Security Misconfigurations as significant OWASP risks.
• How AI can assist in real-time detection of these vulnerabilities.
• Designing an AI model for mitigating these OWASP threats.
• Demo: Train a basic AI model to detect potential XXE attacks and Security Misconfigurations

5. AI for Cross-Site Scripting (XSS) and Insecure Deserialization Mitigation

• Gain skills to utilize AI for detecting and mitigating XSS and Insecure Deserialization.
• Introduction to XSS and Insecure Deserialization as significant OWASP risks.
• How AI can assist in real-time detection of these vulnerabilities.
• Designing an AI model for mitigating these OWASP threats.
• Demo: Train a basic AI model to detect potential attacks

6. AI for Insufficient Logging & Monitoring and Using Components with Known Vulnerabilities

• Gain skills to utilize AI for detecting and mitigating Insufficient Logging & Monitoring and using components with known vulnerabilities.
• Introduction to these threats as significant OWASP risks.
• How AI can assist in real-time detection of these vulnerabilities.
• Designing an AI model for mitigating these OWASP threats.
• Demo: Train a basic AI model to detect potential risks associated with insufficient logging and known vulnerabilities

7. AI Model Validation, Testing, and Limitations

• Comprehend the importance of validation and testing in AI models.
• Learn methods for testing, validating, and fine-tuning AI models.
• Understanding the limitations of AI in the context of mitigating OWASP risks.
• Demo: Validate and test a basic AI model for detecting OWASP risks

8. Future of AI in Mitigating OWASP Threats

• Explore the future trends of AI in the context of cybersecurity and OWASP.
• Discuss research and future applications of AI in cybersecurity.
• Address advancements like adversarial AI, AI-powered intrusion detection systems etc.

Course Overview

Boost Web Application Security! Leverage AI to Mitigate OWASP Vulnerabilities, Anticipate Breaches, Debug Applications & More.

Course Content

This introductory level course is geared for tech enthusiasts, software developers, web application developers, and AI aspirants seeking to harness the power of AI to enhance web security. It’s also ideal for IT professionals responsible for web security in their organizations who are eager to innovate with AI-driven solutions. Roles might include:

– Web Application Developers

– Software Engineers

– Information Security Analysts

– AI/Machine Learning Enthusiasts

– IT Managers focused on Web Security-

– Data Scientists interested in Web Security

Show me more 

Course Content

Top 

1. Introduction to AI and Secure Coding

• Understand the basics of AI and the importance of secure coding
• Understanding AI: An overview
• Secure Coding in AI
• Intro to machine learning
• Demo: Demonstrate a basic AI model

2. Understanding OWASP Top Ten 2021 and AI Implications

• Understand the OWASP Top Ten 2021 and how AI can mitigate risks
• Brief overview of the OWASP Top Ten 2021
• Discussing security risks in AI applications
• Demo: Show how AI can be used to identify potential security threats using

3. Secure AI Programming and Web Application Integration

• Understand the concept of secure AI programming and web application integration
• Security in AI: An Overview
• Secure data handling in AI
• Connecting AI models with Web applications
• Demo: Demonstrate connecting an AI model to a web application

4. Deploying and Debugging AI Applications

• Understand how to deploy and debug AI applications
• The fundamentals of AI application deployment
• Troubleshooting common issues in AI applications
• Demo: Demonstrate deploying a simple AI model

5. Natural Language Processing and AI Security

• Understand the basics of Natural Language Processing (NLP) and AI security
• Overview of NLP in AI
• AI in identifying vulnerabilities in web applications
• Demo: Showcase text processing and analysis