InfosecTrain

In the rapidly evolving world of AI, 2026 has brought us to a crossroads: Gemini vs. Lovart. But this session is about more than just which tool makes a "prettier" picture. We dive deep into the ethics of image generation, the critical importance of human authenticity in business, and the technical "food" that drives these models: your data.
From refining professional headshots with Gemini Nano to creating high-impact marketing posters with Lovart, we explore the specific strengths of each platform. We also address the hard questions: When is AI "cheating" your customers? And why should you never fully rely on AI-generated content for your professional brand?

🔍 What You’ll Learn:
The Ethics of Image Generation: Why tools shouldn't be questioned, but their usage should. We discuss consent, public domain data, and the "food" of AI.

Gemini Nano in Action: A live walkthrough of refining a vague image into a professional headshot using specific "content creator" terminology like "front view" and "bokeh background."

The Authenticity Gap: Why heavily relying on AI for your business website can lead to a loss of trust and how to balance AI imagination with real-world reality.

Lovart: The Design Agent: Discover why Lovart is the superior tool for marketing posters and social media banners, featuring a real-time "Team India" celebration poster demo.

AI Coding & Small-Scale Apps: The truth about "Vibe Coding" for to-do lists and calendars, and why it still fails at large-scale database integration.

Free vs. Pro Credits: Is a paid subscription worth it? Understanding performance differences and making the most of free monthly credits.

🎧 AI can turn your imagination into reality, but in business, authenticity is your only currency. Use AI to visualize the goal, but capture the reality yourself to keep your customers' trust

In this bootcamp session, Prabh Nair breaks down ISO/IEC 42001 and the practical reality of AI governance inside organizations.
If you are trying to implement an AI Management System (AIMS), this session walks you through the governance principles, the clause structure, the documentation mindset, and how to run AI risk assessments and impact assessments in a way that stands up to audits. We move beyond the theory and look at how to define roles, whether you are an AI provider, producer, or customer; and how to build a Project Charter that scales.

Watch the full episode on YouTube: https://www.youtube.com/watch?v=jhQRtCO_5n0

🔍 What You’ll Learn:
Foundations of AI Governance: Why governance is non-negotiable in the age of bias, misinformation, and misuse.

The 5 Core Principles: A deep dive into Accountability, Transparency, Fairness, Safety, and Balanced Innovation.

ISO/IEC 42001 Structure: Navigating the mandatory clauses (4–10), the 38 Annex A controls, and the PDCA (Plan-Do-Check-Act) cycle.

The 4 Implementation Phases:
1. Gap Analysis: Identifying what you lack.
2. Planning: Setting objectives and scope.
3. Implementation: Putting controls into action.
4. Verification: Internal audits and readiness checks.

Defining Your AI Role: Are you an AI Provider, Producer, Customer, or Partner? Understanding your duties within the AI ecosystem.

Risk vs. Impact Assessments: * AI Risk Assessment: Focuses on internal business risks (likelihood/impact).
AI System Impact Assessment (AIIA): Focuses on external harm to individuals and society.

Audit Readiness: Creating a robust Statement of Applicability (SoA), managing version control, and ensuring team competence.

🎧 Governance isn't about stopping innovation; it's about building a 'trust engine'. ISO 42001 provides the blueprint to ensure your AI isn't just powerful but responsible and auditable.

Is the art of writing being replaced by the science of prompting? In this session, we explore how Google’s NotebookLM is revolutionizing the way we digest information and create content. From converting a YouTube video into a structured document to generating instant flashcards for exam prep, we demonstrate the power of AI-driven notebooks. We also break down the critical differences between free and pro features, specifically how professional integrations within the Google Workspace ecosystem are changing the game for researchers, students, and professionals alike.

🔍 What You’ll Learn:
From Video to Book: How to insert a YouTube link into NotebookLM to instantly generate a defined, high-quality document on complex topics like AI Governance.

The Importance of Prompting: Why understanding prompt engineering is still the "art of writing" even as tools become more self-prompting.

Refining and Shortening: Live demo of using Gemini within your documents to shorten, elaborate, or formalize long-form content in seconds.

Multilingual Capabilities: Switching between English and Hindi on the fly to make learning accessible for everyone.

AI-Generated Flashcards: How to turn your source material into a customized test prep session with interactive flashcards.

Free vs. Pro Features: Understanding the "Workspace AI" advantage and why pro functionality is essential for full tool integration.

🎧 NotebookLM isn't just another tool; it's a personal learning assistant. Whether you're shortening a report or prepping for a test, the goal is to move from vaguely understanding information to mastering it on your own terms.

Is AI voice technology moving too fast? In this episode, we explore how ElevenLabs is redefining the boundaries of text-to-speech and dubbing. We go beyond the "cool factor" to demonstrate real-world applications—from teachers converting lesson plans into audio to professionals automating their workflows. We also tackle the "risk" factor: How are governments intervening, and what do the latest compliance policies from late 2024 tell us about the future of deepfakes and digital ethics?

🔍 What You’ll Learn:
The Power of AI Dubbing: Watch a live demonstration of seamless voice switching between English and Hindi, maintaining emotional tone and clarity.

The Risk & Governance Factor: Why government intervention is inevitable and how the December 2024 policy updates are shaping what content is "acceptable" vs. "violating".

Ethics of Famous Faces: Understanding geographical restrictions, such as Germany’s limits on using AI to recreate famous historical or public figures.

Text-to-Speech for Professionals: A practical guide for teachers and content creators on using ElevenLabs to convert documents into high-quality audio right within your workspace.

The Integrated Workspace: A look at how Google AI Studio and Gemini are being woven into daily tools (like the "Listen" tab) to automate text-to-audio conversion for doctors, lawyers, and engineers.

🎧 AI voice isn't just about fun filters; it's a productivity powerhouse. In the coming months, expect these 'Listen' and 'Generate' toggles to become as standard as a spellchecker in every professional workspace.

Traditional IT security is predictable, but AI is not. In an era where AI learns, evolves, and operates on data-centric logic, the standard playbooks for network and infrastructure security are no longer enough. Enter ISACA’s Advanced in Artificial Intelligence Security Management (AISM), a framework designed to bridge the gap between traditional security and the unique risks of the AI era.
In this episode, we explore the shift from application logic to data-centric AI security. We dive into the complexities of "Poisoning" attacks, prompt injections, and the critical importance of human-in-the-loop governance. Whether you're a CISSP, CISM, or an aspiring AI security leader, this is your guide to mastering the integration of AI into your enterprise strategy.
🤖 What You’ll Learn:
Beyond Traditional IT Security: Why predictable application behavior is being replaced by evolving AI models that require a constant security refresh.

The "Poisoning" Threat: Understanding how attackers target centralized data lakes to manipulate model outcomes.

Decoding the AAISM Certification: A step-by-step breakdown of the three core domains: Governance, Risk, and AI Technology.

Privacy & Hallucinations: Managing the specific risks of PII data leaks and the unique challenges of model inversion and extraction.

Building an AI Council: Why you need an ethics committee and a board-level accountability structure for responsible AI deployment.

The Role of the AI Chief Officer: How security professionals can pivot into this high-impact leadership role by mastering AI infrastructure and operations.

🎧 Tune in to discover why "governance" is the most powerful tool in your AI security toolkit and how to stand out in the 2026 job market.