InfosecTrain

In a world of "Decision Paralysis," which SIM should you choose? In this episode, we dive deep into why Wazuh has become the go-to solution for SOC analysts in 2026. Moving beyond the "injection-based licensing crisis" of traditional tools like Splunk and QRadar, Wazuh offers a unified, open-source platform that combines the "brain" of a SIM with the "guard" of an XDR.
We provide a step-by-step practical look at Wazuh’s architecture, its XML-based detection engine, and a live demonstration of Active Response, where the tool doesn't just detect a brute-force attack but automatically blocks the attacker in real-time.
🔍 What You’ll Learn:
The Paradox of Choice: Navigating the crowded SIM market and why Wazuh is the best entry point for both learning and deployment.

The Licensing Crisis: How Wazuh eliminates the "cost vs. data volume" spike, allowing for unlimited ingestion without financial penalties.

SIM + XDR Unified: Understanding the hybrid power of log correlation, file integrity monitoring (FIM), and vulnerability detection in one pane of glass.

The 4 Pillars of Architecture: A breakdown of the Agent (The Guard), Server (The Brain), Indexer (The Library), and Dashboard (The Lens).

Noise to Signals: How Wazuh translates raw logs into actionable security events using decoders and rule matching.

Decoding XML Rules: Why Wazuh chose a standard XML format over a native query language to lower the barrier for security engineers.

LIVE DEMO: Active Response: Watch a real-world scenario where Wazuh detects an SSH brute-force attack from a Kali Linux machine and triggers a firewall drop.

Wazuh vs. CrowdStrike: Can you replace a tier-one EDR? Strategic advice on using Wazuh for subsidiary monitoring and compliance.

🎧 Wazuh is like the manual car of the security world. While other tools make you a 'clicking monkey', Wazuh gives you full control over the gears, helping you understand the underlying mechanics of an attack so you can be a better defender.

Transitioning from CISSP to the ISSAP concentration? The architecture of security isn't just about building walls; it’s about the visibility of what’s happening within them. In this deep-dive session, we break down the 2026 ISSAP syllabus changes moving from six domains to four and why the exam remains as rigorous as ever.
We focus on the backbone of security architecture: Identity and Access Management (IAM) and Audit Strategy. From defining the roles of an AI-driven SOC to implementing "Just-in-Time" (JIT) access and advanced log management with SIM and SOAR, this episode provides the technical roadmap needed to master Domain 1 of the ISSAP.
🔍 What You’ll Learn:
The New ISSAP Structure: Understanding the shift from 6 domains to 4 and what it means for your study plan.

IAM Architecture Overhaul: Managing digital identities with LDAP, Azure AD, and Identity-as-a-Service (IDaaS) like Okta and Ping Directory.

Role-Based vs. Attribute-Based Access: Why modern IAM relies on contextual attributes (location, device compliance, time) rather than just user IDs.

Mastering Just-in-Time (JIT) Access: How to automate privilege escalation for specific tasks (like VM snapshots) to minimize the attack surface.

The Architecture of Auditing: Determining accounting, forensic requirements, and the "Clipping Level" strategy for log management.

File Integrity Monitoring (FIM): Using tools like Tripwire to alert on unauthorized changes in critical system files and registries.

User Behavioral Analytics (UBA): Identifying "Top 10 Risky Users" by baselining historical activity and flagging anomalies in real-time.

SIM vs. SOAR: When to use traditional event management and when to deploy automated playbooks (Palo Alto, IBM Resilient) for incident response.

ISSAP Exam Practice: A walkthrough of sample questions on risk assessment, NIST frameworks, and the "Peace of Mind" exam retake offer.

🎧 In security architecture, transparency is the ultimate control. Don't just collect logs; curate them. By setting 'clipping levels' and automating response through SOAR, you transform raw data into architectural assurance.

Are you still spending hours brainstorming design templates? In this session, we unlock the secrets of Canva AI and its powerful integration with ChatGPT. We explore how to move from a simple idea to a finished marketing campaign in seconds by leveraging AI-driven brainstorming.
Whether you're using the native Canva Magic Studio or connecting Canva directly to GPT, this session demonstrates how to automate the "blank page" problem. We walk through a real-time "Cold Drink Campaign" demo to show how AI doesn't just design; it organizes your strategy.

Watch the full episode on YouTube: https://youtu.be/g1bdIvGQWsg?si=9AyBgy8b71h0BBMB

🔍 What You’ll Learn:
The Power of Canva’s Trained Models: Understanding how Canva uses its massive template database to generate real-time marketing assets from simple prompts.

Integrating ChatGPT with Canva: A step-by-step guide on how to link your accounts to generate posters and campaign visuals directly within the GPT interface.

Free vs. Paid Functionality: How to get Canva "Pro-style" results using the GPT plugin if you don't have a paid Canva subscription.

From Brainstorming to Landing: Why the "real" game starts after the AI generates the draft. Learn how to jump from a GPT discussion into Canva for final font styling and branding tweaks.

Streamlining the Workflow: The shift from manual template searching to direct "brainstorming-to-development" landing pages.

🎧 The old way was choosing a template and then finding the content. The AI way is starting with the brainstorm and letting the tool build the template around your vision. It's about jumping straight to the finish line.

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.