GenAI and Cybersecurity – Frameworks and Best Practices 2025

Driving Enterprise GenAI Adoption: Tools, Frameworks, and Real-World Case Studies from Industry Leaders

What you'll learn
Master the foundational principles and best practices for integrating Generative AI in cybersecurity.
Become aware about AI, ML, and deep learning, focusing on their applications in various industries, including a case study on Tesla Autopilot.
Study the intersection of AI/ML and cybersecurity, understanding ethical considerations and potential risks with examples from real-world scenarios.
Explore the latest trends as per industry reports like those from Gartner.
Delve into typical cloud-based and AI-specific cybersecurity architectures, learning how they differ and why they're essential.
Develop strategies for managing AI data privacy, including data quality, governance, and lifecycle management.
Learn about AI risk management frameworks like NIST AI RMF, and explore case studies on navigating AI risks.
Understand key AI controls and policies, including the CIA Triad, OWASP AI vulnerabilities, and AI governance frameworks.
Gain knowledge about auditing AI systems, understanding components of compliance, and readiness comparisons.
Explore various AI regulatory frameworks, including the EU AI Act, GDPR, and ethical AI frameworks by OECD.
Understand the security implications of Generative AI, exploring defenses, future challenges, and opportunities.
Learn about innovative GenAI solutions and opportunities, including custom LLM implementations and industry-specific applications.
Understand how AI can be used to enhance governance practices and develop frameworks for low-risk AI adoption.
Study key controversies and ethical issues in AI, as outlined by UNESCO and other bodies, to inform responsible AI practices.

Requirements
Basic understanding of AI/ML tech is required
A keen interest in staying updated on the latest developments in the world of AI
Basic Awareness and Knowledge of AI Use Cases

Description
Welcome to the Future! Welcome to the course - GenAI and Cybersecurity – Frameworks and Best Practices 2025The rapid advancements in Generative AI are transforming industries, and there's never been a better time to upskill and update yourself. From creating art to automating code, AI is now a crucial part of our everyday lives, also making it very essential for businesses and individuals alike to understand its potential. Tech companies are harnessing AI to streamline operations, boost productivity, and drive innovation with AI assistants that continuously learn and improve.AI tools are streamlining processes, enhancing productivity, and fostering innovations once thought impossible.But here’s the best part: This technology isn’t just for the big players anymore.Before You Enroll:This course is meant to connect with like-minded practitioners who care about thoughtful, responsible GenAI adoption.Please join only if you resonate with this perspective.Generative AI isn’t binary—it’s not just a 0 or 1. It’s about how data, domain knowledge, models, observability, and responsible innovation come together to shape meaningful solutions.There is no single “right” answer in this field. What matters is your approach:Are you gaining perspective?Are you asking the right questions?Are you willing to pivot and explore multiple angles?This course won’t make you an expert overnight, but it will push you to ask better, use-case-driven questions and seek real, responsible answers.How will our course benefit YOU?Provide a perspective to map domain / data in AI Lens:Ask better AI solution questions. Apply your domain / data perspectives to balance AI Solutioning strategiesProbe scenarios and present queries, even without a full understanding of all technical aspects.Identify tech areas, domain expertise, and AI strategies relevant to their goals.Pick few years to focus – GenAI PM / GenAI Development / Model Finetuning / Agent Developer / Txt2SQL / Vision related use cases / Domain focused use casesThis will help you understand and identify:The distinction between paper experts, opinion experts, and those with hands-on experience. Never judge opinions without detailed benchmarks and supporting data.While everyone discusses capabilities, few address guardrails and benchmarks. Hyped-up selling appears to be a consistent patternBy the end of this course, you will have learned the following:Generative AI and Cybersecurity: Frameworks and Best PracticesUnderstand the fundamental concepts of AI, ML, DL, and GenAI.Explore key use cases and applications in cybersecurity.Analyze case studies like Tesla Autopilot for anomaly detection and common sense challenges.Cybersecurity in AI/ML and AI EthicsGrasp the importance of cybersecurity in AI/ML.Evaluate AI tech risks at different stages with practical examples.Study emerging technology trends and their impact on cybersecurity.Solution & Infrastructure SecurityExamine typical cloud-based cybersecurity architectures.Compare AI-specific cybersecurity solutions and their unique challenges.Discuss why cybersecurity needs to be redefined for AI and the role of AI regulation.AI Data & Privacy StrategyUnderstand data breaches and develop a robust AI data strategy.Learn about data intelligence modeling and data quality management.Explore data lifecycle management, data ethics, security, and governance.AI Privacy StrategyNavigate the AI privacy paradox and associated factors and concerns.Assess privacy concerns related to data, identity, sensitivity, and surveillance.Review laws, policies, and tools designed to protect AI privacy.AI Risk Management & Threat ManagementInvestigate AI risks and threats through detailed case studies.Implement AI frameworks like NIST AI RMF for effective risk management.Examine emerging AI threat landscapes and future risk management trends.AI Frameworks & PoliciesDive into NIST AI RMF core, roadmap, playbook, and taxonomy.Explore early adoption of AI frameworks and policies with relevant use cases.Review cybersecurity references, AI frameworks, and governance policies.AI ControlsUnderstand AI controls and the CIA Triad.Redefine BIA and ISBIA evaluations.Learn about OWASP and MLSecOps top vulnerabilities.AI Audit & ComplianceRecognize the need for auditing AI systems and their components.Compare audit and compliance readiness for AI systems.AI Laws & RegulationsAnalyze the EU's AI framework and risk-based approach to AI regulation.Study the Ethical AI Framework by OECD, EU AI Act, and GDPR AI.Understand the implications of the UK Data Protection and Digital Information Bill.Generative AI and LLM SecurityIntroduce generative AI risk implications, biases, and defenses.Explore the future of secure AI and emerging challenges and opportunities.Generative AI Case StudiesAssess risks and opportunities in LLM systems.Examine enterprise privacy at OpenAI and LLM security tools.Learn from case studies on LLM adoption and cybersecurity strategies.Solutions and OpportunitiesDiscover the latest tools and platforms like Raga LLM Hub and Giscard.Study practical case studies in retail, customer service, and healthcare.Explore best practices and frameworks for low-risk AI adoption.You'll have lifetime access to:Comprehensive video lessonsDetailed case studiesUp-to-date industry insightsPractical projects and exercisesHere’s how our course can benefit you:Career Advancement: AI skills are in high demand across various industries. Mastering Generative AI can propel your career, opening doors to new opportunities in tech, marketing, cybersecurity, and more.Innovative Solutions: Equip yourself with the knowledge to create cutting-edge solutions like chatbots, personalized customer experiences, and enhanced data security measures.Efficiency and Productivity: Learn how to implement AI tools to streamline processes, boost productivity, and foster innovation within your organization.Ethical and Secure AI: Gain insights into managing AI ethics, handling model biases, and ensuring robust cybersecurity practices to mitigate risks associated with AI adoption.Hands-On Experience: Our course combines theory with practical exercises, ensuring you gain real-world skills. From building AI models to implementing secure AI architectures, you'll have the expertise to tackle real challenges.What makes this course unique!Expert Trainers: Learn from industry veterans with years of experience in Generative AI and cybersecurity, providing you with deep insights and practical knowledge.Real-World Case Studies: Gain a thorough understanding of AI applications with real-world case studies, showcasing how Generative AI is transforming various industries.Latest Industry Updates: Stay current with the most recent advancements and trends in the AI industry, ensuring that you are equipped with up-to-date knowledge and insights relevant to today’s dynamic tech landscape.Actionable Skills: Acquire skills that are relevant and directly applicable to your career, enabling you to drive innovation and efficiency in your workplace.Who Will This Course Benefit?This course on Generative AI and Cybersecurity equips professionals of all industries. It offers a deep dive into the latest developments in AI, providing valuable insights for enhancing product development and customer experiences through advanced AI solutions.Professionals will benefit from learning about AI and cybersecurity, including ethical practices, risk management, and security measures essential for maintaining AI system integrity. This focus is crucial for those managing AI risks and ensuring robust security protocols. The course also covers AI frameworks and policies, such as the NIST AI RMF, helping professionals align their AI implementations with industry standards and regulatory requirements.Data security and privacy strategies are another key area, addressing data breaches, governance, and privacy. This is vital for managing and securing data, ensuring its quality, and protecting sensitive information in an AI context. The course also explores large language models (LLMs), offering practical insights into their deployment.Through real-world case studies, such as Tesla’s autopilot system and AI applications in various other sectors, the course provides practical examples of AI technology in action. By mastering these topics, professionals will be well-equipped to leverage AI for innovation, improve security measures, and uphold ethical practices, thereby enhancing their career prospects and driving advancements in their fields.We'll see you inside!Enroll today and unlock your full potential!If you like to have a Leadership / Guest session for your company, Happy to do a 30 mins session based on my current customer success stories / Failures / AMA on GenAI / GenAI BlindspotsHappy learning! Continue to push boundaries, apply your learning, and stay motivated to explore new opportunities in Generative AI and cybersecurity.

Who this course is for:
Product Managers: Ideal for those adopting LLM-based solutions, this course will help you enhance product development and ensure secure implementation., Data Scientists: Perfect for professionals aiming to integrate GenAI with data-driven projects, manage biases, and mitigate security risks effectively., Cybersecurity Teams: Essential for cybersecurity and CISO teams involved in AI/ML and GenAI adoption, focusing on securing AI initiatives and understanding emerging threats., Business Leaders and Executives: Beneficial for business leaders and executives targeting GenAI-based use case adoption, driving innovation while maintaining compliance and security., Innovative Problem Solvers: Suited for creative thinkers who enjoy tackling complex challenges with cutting-edge technology and AI-driven solutions., IT Professionals: Crucial for IT experts responsible for managing and securing AI infrastructure, ensuring robust cybersecurity measures are in place., AI Enthusiasts and Tech Innovators: Great for individuals passionate about AI, looking to stay updated with the latest trends and advancements in Generative AI and cybersecurity., Compliance Officers and Legal Experts: Valuable for professionals overseeing compliance and regulatory aspects, providing insights into AI frameworks, policies, and ethical considerations.