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Applying AI To The OWASP Top Ten TTAI2832 Certification Training
Applying AI To The OWASP Top Ten TTAI2832 Certification Training
Tomorrow's security makes today's enterprise! Learn AI solutions for OWASP security risks.
TTAI2832, Applying AI to the 2021 OWASP Top Ten, is a 02-day expert-led course by Vinsys tailored for technical enthusiasts keen on exploring the efficacy of artificial in
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applying AI To The OWASP Top Ten TTAI2832
The course delves into the convergence of AI, ethical considerations, cybersecurity of OWASPs top ten security risks, and other artificial intelligence efficacies for you to understand and implement AI in OWASP. The curriculum provides an in-depth exploration of OWASPs security risks so that you can easily identify and mitigate those common threats, including but not limited to Injection and Broken Authentication. The expert-led course is an engaging experience for you to actively interact with the advanced AI algorithms and counter prevalent OWASP risks. The course covers hands-on experience in choosing the right algorithm for different OWASP vulnerabilities and applying them to specific problems.
You will learn about designing AI models for mitigating security risks while emphasizing testing, validating, and fine-tuning AI models to ensure that you can effectively address the OWASP risks. Moreover, the course experts will guide you in enhancing technical skills with ethical considerations while designing and implementing AI models to adhere to ethical standards proficiently. Upon course completion, you will be able to understand the pivotal role AI plays in addressing OWASPs significant security risks. You can leverage AI for cybersecurity and create AI models to combat common vulnerabilities outlined by OWASP Top Ten. Finally, you can expand your expertise in AI and cybersecurity to embark on a journey into navigating the complex realm of AI-enhanced cybersecurity.
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Objectives
Throughout this hands-on learning experience facilitated by our experts, you will achieve the following course objectives:
- Develop a comprehensive understanding of the OWASP TOP Ten
- Gain insights into the most critical web applications
- Learn mechanisms behind the threats and vulnerabilities
- Implement AI cybersecurity principles to navigate the intersection of mechanisms
- Understand the complexities of the top ten risks
- Effectively learn in the realm of cybersecurity to focus on mitigation risks
- Customize algorithms related to OWASP vulnerabilities
- Detect potential injection and other authentical attacks
- Choose the right algorithms for a specific problem
- Gain skills in XSS and other real-time detection of vulnerabilities
- Acquire practical skills to manage insufficient logging and monitoring using components
- Learn to prevent cross-site scripting and insecure deserialization through AI application
- Navigate practical skills to apply in a complex landscape of AI
- Customize adaptive AI models
- Understand the limitations of AI in the context of mitigating OWASP risks
- Design AI models for mitigating OWASP threats
- Train to design a basic AI model capable of detecting potential risks associated with insufficient logging and known vulnerabilities
- Address advancements like AI, AI-powered intrusion detection systems, etc.
Audience
TTAI2832 is an intermediate-level course ideal for software developers, cybersecurity enthusiasts, and IT professionals who are keenly interested in understanding web application security roles. Other job roles that might benefit from the course knowledge include-
- IT Auditors or Compliance Managers
- Risk Management Professionals
- Cybersecurity Analysts
- Information Security Officers
- IT Security Specialists
- Chief Information Security Officers
- IT Administrators
- Data Protection Officers
- Ethical Hackers
- Networks Security Engineers
- Developers
- Threat Intelligence Analysts
- Project Managers
- Vulnerability Assessors
- Individuals looking forward to learn about OWASP's risks and their mitigation strategies, including other applications in-depth
Prerequisites
To excel in the course, learners and professionals are encouraged to meet the following prerequisites-
- A basic understanding of AI concepts, including applications, their types, and basic principles, is necessary.
- Individuals must have a basic experience in web applications.
- Basic learning experience with cybersecurity concepts is recommended.
- Learners who have a foundational understanding of coding can benefit from the course.
- A general understanding of the basic AI concepts is recommended.
- Familiarity with basic cybersecurity principles and mitigation mechanisms.
Course Outline
Module 1. Introduction to AI, OWASP Top Ten, and AI Ethics
- Overview of AI and its applications in mitigating OWASP risks.
- Understand the intersection of AI, cybersecurity, and ethical considerations.
- Exploring how AI can help mitigate these risks while ensuring ethical use.
- Discussion on AI Ethics, including privacy concerns and biases in AI models.
- Introduction to OWASP and the top ten security risks for web applications.
Module 2. AI for Injection and Broken Authentication Mitigation
- Demo: Train a basic AI model to detect potential Injection and Broken Authentication attacks
- Learn how AI helps detect and mitigate Injection and Broken Authentication.
- How AI can help in detecting these vulnerabilities in real-time.
- Designing an AI model for mitigating these security risks. •
- Discussion on the nature of Injection and Broken Authentication attacks and their prevalence in OWASP.
Module 3. Deep Dive into AI Algorithms and their application in mitigating OWASP Risks
- Choose the right algorithm for a specific problem.
- Comprehend the working mechanisms of key AI algorithms.
- Guided tutorial on customizing algorithms for different OWASP vulnerabilities.
- Demo: Selection and customization of AI algorithms for detecting Sensitive Data Exposure
- Detailed analysis of AI algorithms used in mitigating OWASP security risks.
Module 4. AI for XML External Entity (XXE) and Security Misconfiguration Mitigation
- A basic AI model to detect potential XXE attacks and Security Misconfigurations
- Introduction to XXE and Security Misconfigurations as significant OWASP risks.
- Designing an AI model for mitigating these OWASP threats.
- AI assistance in real-time detection of these vulnerabilities.
- Utilize AI for detecting and mitigating XXE and Security Misconfigurations.
Module 5. AI for Cross-Site Scripting (XSS) and Insecure Deserialization Mitigation
- How AI can assist in real-time detection of these vulnerabilities.
- Designing an AI model for mitigating these OWASP threats.
- Introduction to XSS and Insecure Deserialization.
- Gain skills to utilize AI for detecting and mitigating XSS and Insecure Deserialization.
- A basic AI model to detect potential attacks
Module 6. AI for Insufficient Logging & Monitoring and Using Components with Known Vulnerabilities
- AI model for mitigating these OWASP threats.
- Introduction to these threats as significant OWASP risks.
- Basic AI model to detect potential risks associated with insufficient logging and known vulnerabilities
- Gain skills to utilize AI for detecting and mitigating insufficient.
- How AI can assist in real-time detection of these vulnerabilities.
Module 7. AI Model Validation, Testing, and Limitations
- Demo: Validate and test a basic AI model for detecting OWASP risks
- Comprehend the importance of validation and testing in AI models.
- Understanding the limitations of AI in the context of mitigating OWASP risks.
- Learn methods for testing, validating, and fine-tuning AI models.
Module 8. Future of AI in Mitigating OWASP Threats
- Discuss research and future applications of AI in cybersecurity.
- Explore the future trends of AI in the context of cybersecurity and OWASP.
- Address advancements like adversarial AI, AI-powered intrusion detection systems, etc.
Choose Your Preferred Mode
Online Training
- Instructor-led Online Training
- Experienced Subject Matter Experts
- Approved and Quality Ensured training Material
- 24*7 leaner assistance and support
Corporate Training
- Blended Learning Delivery Model (Self-Paced E-Learning And/Or Instructor-Led Options)
- Course, Category, And All-Access Pricing
- Enhanced Reporting For Individuals And Teams
- 24x7 Teaching Assistance And Support
FAQ’s
What is the course duration?
TTAI2832, Applying AI to the 2021 OWASP Top Ten, is a 02-day expert-led course by Vinsys to significantly enhance your capabilities in navigating the intricacies of AI-enhanced cybersecurity.
What is the course code to access the Machine Learning Security course?
The course code through which it can be accessed is TTAI2832.
Why should I enroll in this course by Vinsys?
Enrolling in this course offers a comprehensive learning experience of AI and its critical role in cybersecurity. You will learn to design and implement robust AI defense mechanisms and their applications to mitigate OWASP's Top Ten risks and vulnerabilities. On top of that, you will get 24*7 support for pre-and post-course completion from Vinsys after you enroll in it.
Can a beginner enroll in this course?
This intermediate course is suitable for those seeking to deepen their understanding of AI techniques and secure their applications from potential threats to the systems. This includes those working majorly in the field of programming language, including Developers, managers, Compliance officers, CISOs, Data protection officers, Threat Intelligence analysts, IT Security Professionals, Cybersecurity Engineers, and more.
How will the course help me in my professional development?
Designed with experts, the course can unlock the potential of hands-on skills in operationalizing and securing cybersecurity integration with AI workflows. The course directly applies to enhance professional threat mitigation and detection capabilities. It covers future trends in AI Security, AI Ethics, and AI Algorithms, ensuring that you are well-prepared for upcoming developments in the field.
How is the course program carried out at Vinsys?
Our courses are delivered through instructor-led training (ILT), private group training, and virtual instructor-led training (vLIT). We boost your odds of success by helping you prepare for required exams and earn the certification. Effective course material accessed throughout the program makes learning about concepts beyond the class easier. You can choose your learning path to upskill with Vinsys' subject matter experts upon customizing training needs to ensure 100% results.
How will this course help the learners?
The course will help learners understand AI in Cybersecurity and learn to identify various types of AI threats and vulnerabilities. The knowledge equips them to navigate the complex landscape of AI-enabled cybersecurity effectively.
Can learners interact with the instructors?
Yes, learners will have an opportunity to interact with the instructors till the time their confusion and queries are resolved. You can enjoy 24*7 support from Vinsys even after the course completion.
What are the job opportunities after TTAI2832?
There are various options to choose from, including AI Security Analyst, Threat Intelligence Analyst (OWASP Expert), AI Secure Analyst, Security Policy Analyst (AI and OWASP), AI Secure Researcher (Trainer and Instructor), and more, to investigate security incidents and analyze AI-driven threats.
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Reviews
My team enrolled in TTAI2832, and the experience was nothing short of transformative. Vinsys expert-led course provided a cohesive understanding of the OWASP Top Ten vulnerabilities and explored the intersection of AI and cybersecurity thoroughly. Upon learning the course, they are capable of validating the AI testing models and ensuring quality assurance practices. The course has fortified the approach to cybersecurity, making sure that robust defense is implemented using AI.
Pratik ShendeAI Operations Engineer
I enrolled in the course, and it was a game-changer for me as a developer. I was struggling with the effective implementation of AI and cybersecurity in mitigating OWASP risks. Vinsys' hands-on experience from the course has helped me in the right application of advanced AI algorithms and tackle real-world challenges with ease. I am grateful to Vinsys for their support and doubt-clearing sessions that have boosted my confidence in their robustness.
Pani MukharjiAI Test Engineer
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