Prabh Nair

AI is moving from simple human-to-system interaction to agentic AI, where machines interact with other machines, take actions, exchange data, and influence business decisions.This creates a major challenge for cybersecurity, GRC, audit, compliance, and assurance professionals:
Priyank Sonihttps://www.linkedin.com/in/priyank-soni-iima/How do you audit an AI system when you cannot fully see the model, logic, architecture, or internal decision-making process?In this podcast, Prabh speaks with Priyank Soni, a cybersecurity, AI/ML, digital trust, governance, and assurance leader, about auditing AI systems in critical sectors.Priyank explains why traditional audit approaches are not enough when AI systems become black boxes, especially in sectors where trust, safety, compliance, and accountability matter.In this episode, we discuss:Why AI audit is becoming important in critical sectorsHow AI is moving toward agentic and machine-to-machine interactionsWhy zero-trust architecture must evolve for AI agentsWhy AI systems require stronger documentation and evidenceHow ISO/IEC 42001 is shaping AI governance and audit expectationsWhy auditors must understand data flow, model behavior, and system boundariesHow to audit black box AI systemsWhy AI audits should start with inventory and classificationWhy data mapping is critical for AI assuranceHow to assess AI vendor and supply chain riskWhy SBOM and ABOM may become important for AI system auditsHow to handle trade secret challenges when vendors do not share model detailsWhy auditor, vendor, and internal team collaboration is requiredWhat performance metrics auditors should reviewHow to test bias, fairness, and reliabilityWhy adversarial input testing mattersWhy human oversight must be validated, not just mentioned in policyWhy AI systems need continuous monitoring after deploymentWhy AI audits may need to happen more frequently than traditional IT auditsPriyank also explains that AI auditing is still in an early maturity phase. Many organizations, vendors, and auditors are learning together. That makes documentation, risk assessment, monitoring, and evidence collection even more important.#AIAudit #AIGovernance #ISO42001 #AISecurity #CyberSecurity #GRC #DigitalTrust #ResponsibleAI #CriticalInfrastructure #VendorRiskManagement #CoffeeWithPrabh

AI adoption is accelerating across enterprises, but most security programs were not designed for the speed, scale, and complexity of AI-driven threats.In this CISO Masterclass episode, Prabh speaks with Agnidapta Sarkar, a seasoned cybersecurity evangelist and digital resilience strategist, about how CISOs must evolve their security programs for the AI era.Agni explains why organizations must first understand their digital assets, business impact, material risk, and enterprise architecture before rushing into AI adoption or AI security controls.The discussion goes deep into why traditional visibility-focused security is no longer enough. Modern attackers increasingly use valid credentials, legitimate tools, automation, and faster attack paths. With AI, the challenge becomes even more serious because attacks can happen with greater speed, scale, and depth.In this episode, we discuss:* How CISOs should evolve their security programs for AI threats* Why architecture must come before governance* Why organizations must map digital assets to business impact* How AI changes the speed, scale, and complexity of attacks* Why identity is becoming one of the biggest attack targets* Why Zero Trust needs practical implementation, not just discussion* The role of enhanced identity governance* How micro-segmentation reduces blast radius* Why software-defined perimeters matter in modern defense* Why AI agents need the same access controls as human users* Why proactive governance must monitor ongoing access, not only initial approval* How CISOs should think about resilience before a breach happens* Why incident learnings must feed back into architecture and governance improvementAgni also explains why many organizations struggle with AI security because they do not fully understand their business problems, data flows, access paths, and architectural weaknesses.This episode is highly useful for CISOs, security leaders, enterprise architects, GRC professionals, cyber risk managers, IAM professionals, SOC leaders, AI governance teams, and board-level cybersecurity stakeholders.The key message from this conversation is simple:Before AI governance can succeed, enterprise architecture must be understood, controlled, and resilient.Watch the full episode and comment below:What should CISOs fix first in the AI era — architecture, identity, governance, or resilience?Subscribe for more CISO Masterclass episodes, AI security discussions, cybersecurity leadership insights, GRC content, and practical enterprise security conversations.#aisecurity #ciso #infose #aigovernance

In many organizations, OT security is still discussed at a very high level. But when we go into the real world, the challenge is different:How do we actually assess cyber risk in an OT environment where safety, uptime, legacy systems, plant operations, and business impact all come together?
In this session, Sajath walked through a very practical approach to OT cybersecurity risk assessment — not just theory, but how to think through:OT asset identificationBusiness and operational impactThreat scenariosVulnerability and exposureLikelihood and impact scoringRisk matrix creationSafety and reputational impactControl prioritizationPractical documentation for decision-makingWhat I really liked about this discussion was the focus on practical risk thinking.OT cybersecurity is not only about firewalls, segmentation, or compliance checklists. It is about understanding what can stop operations, affect safety, damage reputation, or create real business disruption.A big thank you to Sajath Sathar for sharing his experience and making the session highly practical for learners and professionals Shivhttps://www.youtube.com/watch?v=qjJvK7nB3VI&t=1047s&pp=ygURT1QgU0VDVVJJVFkgUFJBQkg%3DOT Security Program with Manjunathhttps://www.youtube.com/watch?v=nSyAmYgtWeg&t=340s&pp=ygURT1QgU0VDVVJJVFkgUFJBQkg%3DHow to Build OT Security https://www.youtube.com/watch?v=XDA0QGC1W_s&t=3s&pp=ygURT1QgU0VDVVJJVFkgUFJBQkg%3D#OTSecurity #ICSSecurity #CyberSecurity #RiskAssessment #IEC62443 #GRC #IndustrialCyberSecurity #Podcast #PrabhNair #InfosecTrain

In this special cybersecurity podcast episode, Prabh interviews Sarang, a seasoned cybersecurity expert popularly known as “Cyber Insane,” to discuss practical red teaming, enterprise attack simulations, web application security, and real-world attack kill chain thinking.
https://www.linkedin.com/in/sarang-tumne-cyber-insane-a1681827/https://m.youtube.com/@redteamgarage-rtg?ra=m📚 RTG – Practical Red Teaming Book copies are now available!✅ Physical Book: ₹899 (Free delivery across India)✅ PDF Copy: ₹499 (Instant download)🎁 Special for Prabh’s community: Get 15% OFF using coupon code: RTG15📩 DM for physical and PDF copies at +91 9137495772📖 Amazon Kindle Edition (₹499):https://amzn.in/d/0bvHeFaM📖 Google Books Edition (₹499):https://books.google.co.in/books/about/Practical_Red_Teaming_Field_Tested_Strat.html?id=4L_rEAAAQBAJ&redir_esc=y⚠️ Coupon code is applicable only for physical/PDF copies and not for Kindle or Google Books editionsThis session goes beyond theory. Sarang explains how red teamers think, how enterprise attacks are planned, and why organizations must go beyond basic vulnerability scanning and traditional penetration testing.

Are you interested in bug bounty hunting but confused about where to start?In this podcast session, Prabh speaks with Monish about the real beginner roadmap for learning bug bounty, web security, XSS, SQL injection, Burp Suite, vulnerability reporting, and practical web application testing.This session is designed for beginners who want to learn bug bounty the right way. Instead of directly jumping into advanced tools and random payloads, Monish explains why every beginner must first understand how websites actually work.Before you start hunting bugs, you need to understand the basics of HTML, CSS, JavaScript, HTTP requests and responses, cookies, browser developer tools, frontend logic, backend logic, databases, authentication, sessions, and website technology stacks.Monish explains how these foundations help you understand real vulnerabilities like Cross-Site Scripting XSS, SQL Injection, misconfigurations, broken access control, and other common web security issues.The discussion also covers how beginners can use platforms like W3Schools, Juice Shop, OWASP practice labs, PortSwigger Web Security Academy, TryHackMe, Hack The Box, HackTricks, and Burp Suite to build practical skills in a safe and legal way.One of the most important parts of this episode is the discussion on why many bug bounty reports get rejected. Monish explains common mistakes such as submitting duplicate vulnerabilities, depending only on automated scanners, using AI without understanding the finding, missing business impact, weak proof of concept, and losing patience too early.This video is useful for cybersecurity beginners, bug bounty learners, web security students, ethical hacking aspirants, penetration testing beginners, college students interested in cybersecurity, and anyone who wants to learn bug bounty legally and practically.Bug bounty is not about randomly running tools. It is about understanding applications, finding real security impact, documenting evidence properly, and reporting vulnerabilities responsibly.Watch the full session and comment below with the next bug bounty topic you want Monish and Prabh to cover.Subscribe for more practical cybersecurity podcasts, bug bounty learning, ethical hacking guidance, web security training, SOC content, GRC insights, and real-world career advice#BugBounty #EthicalHacking #WebSecurity #CyberSecurity #PenetrationTesting