InfosecTrain

Artificial Intelligence is transforming cybersecurity, but it also introduces critical attack surfaces already being exploited. In this session, InfosecTrain breaks down how AI systems get hacked, covering prompt injection, model poisoning, and practical defense frameworks to help security teams protect machine learning pipelines effectively.The "course titled" Practical AI Security Engineering Program provides hands-on expertise to defend your AI architecture.📘 What You’ll Learn:AI Attack Surfaces: Demystifying how machine learning components, data pipelines, and deep neural networks introduce novel security risks.Prompt Injection & Exploits: Analyzing adversarial manipulation, backdoor attacks, and real-world system exploitation techniques.Red Teaming & Methodologies: Applying structured AI threat modeling and offensive security methodologies to test AI resilience.OWASP Top 10 for LLMs: Exploring the top security risks specifically impacting Large Language Model applications and integrations.Governance Frameworks: Aligning technical AI security controls with ISO 42001 and NIST AI RMF compliance standards.🎧 Essential listening for security engineers, red teamers, AppSec specialists, SOC analysts, and GRC professionals securing enterprise AI deployments.Watch Full Episode here: https://www.youtube.com/watch?v=s6NcEBEFCtA

Artificial Intelligence is transforming cybersecurity, but it also creates completely new attack surfaces. In this comprehensive masterclass, expert Avnish Naithani breaks down the entire AI ecosystem, moving beyond basic ChatGPT conversations to address critical vulnerabilities across Machine Learning, LLMs, autonomous Agentic AI, and enterprise governance.The "course titled" Practical AI Security Engineering Program provides hands-on expertise to secure your AI pipelines. 📘 What You’ll Learn:Demystifying the AI Ecosystem: Understanding structural differences between predictive ML, deep neural networks, generative LLMs, and autonomous Agentic AI. Why AI Systems Are Unique: Identifying distinct operational risk surfaces where traditional IT firewalls and perimeter controls fall short.Exploiting ML & Agentic Vulnerabilities: Real-world breakdowns of prompt injection vectors, model inversion, data poisoning, and agent manipulation.Advanced Defensive Controls: Implementing secure data pipelines, runtime model monitoring, input sanitation, and robust guardrails.Governance & Regulatory Alignment: Navigating compliance frameworks to ensure continuous transparency, auditability, and responsible deployment.🎧 Essential listening for security engineers, SOC analysts, penetration testers, cloud architects, and GRC specialists building modern AI defenses.Watch full video here: https://www.youtube.com/watch?v=PkUQS3xs-Ho

The future of cybersecurity isn't just faster detection - it's AI that predicts, investigates, and responds before attackers succeed. In this masterclass episode, InfosecTrain breaks down how AI is revolutionizing Security Operations Centers (SOCs) through intelligent threat triage, automated investigations, and SIEM log analysis.The "course titled" SOC Analyst Training Program accelerates your career in modern AI-driven cyber defense.📘 What You’ll Learn:SOC Fundamentals: Building a solid foundation in core Security Operations Center processes, roles, and workflows.AI-Driven Threat Detection: Integrating machine learning algorithms to automate triage and reduce alert fatigue.SIEM & AI Log Analysis: Leveraging intelligent analytics across SIEM tools like Splunk and Elastic to uncover hidden threats faster.Automated Incident Response: Combining threat intelligence feeds with automated playbooks for rapid breach containment.The 2026 Career Roadmap: Step-by-step guidance, certification paths, and practical hands-on strategies to become a modern SOC analyst. 🎧 Essential listening for SOC analysts, incident responders, blue teamers, and aspiring cybersecurity professionals looking to master AI-enhanced security operations.Watch full episode here: https://www.youtube.com/watch?v=WM6FlGifOoM

As AI adoption grows, the ability to audit AI systems will become one of the most valuable skills in governance and compliance. Moving beyond static software, artificial intelligence introduces non-deterministic outputs, model drift, and complex algorithmic risks. In this practical masterclass episode, InfosecTrain provides a thorough breakdown of how to evaluate an Artificial Intelligence Management System (AIMS) under the definitive international standard, ISO/IEC 42001.The "course titled" ISO/IEC 42001 Lead Auditor (LA) Certification Training serves as the ultimate roadmap for risk professionals transitioning into the algorithmic era. We walk through the complete audit lifestyle - from defining boundaries and data lineage during audit scoping to evaluating unique risks like data bias, system transparency, and ethical safety. Learn how to validate machine learning controls, collect defensible model logs as evidence, and structure nonconformity reports that drive continuous optimization.📘 What You’ll Learn:AIMS Essentials: Navigating the foundational architecture of ISO/IEC 42001 and understanding how an AI Management System integrates into corporate governance.Audit Scoping & Boundaries: Defining clear boundaries around enterprise AI models, data pipelines, third-party APIs, and training infrastructures.Auditing Complex Risk Controls: Verifying organizational measures against model bias, data poisoning, algorithmic hallucinations, and safety vulnerabilities.Evidence Collection Frameworks: Moving past static documentation to harvest technical model records, parameter weights, version histories, and monitoring logs.Reporting Success & Corrective Action: Writing precise audit findings, documenting nonconformities objectively, and establishing robust continuous improvement mechanisms.🎧 Essential listening for IT auditors, compliance managers, risk professionals, and GRC leaders ready to validate their credentials in the high-stakes field of AI governance.Watch Full episode here: https://www.youtube.com/watch?v=uwmNhHkyYh4

The future of cybersecurity, risk, audit, and governance is rapidly evolving - and AI Governance is emerging as one of the most in-demand disciplines for professionals looking to stay ahead. In this elite episode of InfosecTrain TechTalks: Real World Decoded, host Krish sits down with Chris DeMale, Vice President at ISACA, to explore how artificial intelligence is rewriting the professional landscape and opening massive new avenues for risk, privacy, and compliance experts.The "course titled" AI Governance and Risk Management Training acts as the perfect structural transition for veterans aiming to upscale their credentials. As enterprises accelerate their deployment of machine learning systems, the demand for trusted advisors who can independently audit and secure these models has skyrocketed. We dive deep into the widening AI skills gap, look at the emergence of specialized ISACA AI credentials, and map out the exact career roadmap needed to remain indispensable in an automated world.📘 What You’ll Learn:The AI Governance Mandate: Why oversight of automated models has shifted from an IT experiment to a critical, board-level corporate necessity.The Traditional Credential Pivot: How established practitioners holding CISA, CISM, CRISC, CDPSE, and CGEIT certifications can leverage their backgrounds in AI.The New Compliance Horizon: Analyzing how machine learning structures are completely reshaping traditional data auditing, privacy laws, and control validation frameworks.Decoding New Credentials: An inside look at the purpose and professional value of emerging AI focus tracks under global oversight bodies.Future-Proofing Your Career: Developing the core operational competencies required to architect and lead an enterprise-grade AI risk strategy.🎧 Essential listening for GRC leaders, data protection officers, IT auditors, and cybersecurity managers prepared to lead the next evolution of technology governance.Watch the full episode on YouTube: https://www.youtube.com/watch?v=kx7mIp_yG34