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CISSP Cyber Training Podcast - CISSP Training ProgramAuthor: Shon Gerber, vCISO, CISSP, Cybersecurity Consultant and Entrepreneur
Join Shon Gerber on his weekly CISSP Cyber Training podcast, where his extensive 23-year background in cybersecurity shines through. With a rich history spanning corporate sectors, government roles, and academic positions, Shon imparts the essential insights and advice necessary to conquer the CISSP exam. His expertise is not just theoretical; as a CISSP credential holder since 2009, Shon translates his deep understanding into actionable training. Each episode is packed with invaluable security strategies and tips that you can implement right away, giving you an edge in the cybersecurity realm. Tune in and take the reins of your cybersecurity journeylets ride into excellence together! Language: en Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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CCT 327: Anthropic Claude Code Crashes Stocks - AI/LLM CISSP Questions
Episode 327
Thursday, 26 February, 2026
Send a textAI just found hundreds of high-severity vulnerabilities hiding in open source, and the market flinched. We dig into what Anthropic’s Claude Code Security actually means for security teams, why vendors like CrowdStrike and Okta aren’t going away, and how the real change lands on roles, workflows, and the skills you need next. From CI/CD integration to vulnerability discovery at scale, we frame where general models augment specialized tools and where human expertise still anchors the stack.We also get tactical with five CISSP-style AI questions designed to sharpen your instincts. You’ll learn how adversaries reverse engineer decision boundaries to drive up false negatives, what adversarial examples look like in practice, and why adversarial training matters. We break down indirect prompt injection—how a crafted document can hijack an LLM to exfiltrate session data—and outline guardrails that actually reduce risk. Then we map AI risk using NIST’s AI RMF, focusing on the Measure function to evaluate potential harms to protected classes, and we unpack why federated learning still faces privacy leakage through gradient updates without differential privacy and secure aggregation.If you’re in a SOC or building AppSec pipelines, this conversation gives you a blueprint to adapt: automate tier one triage, monitor for model drift, add OOD detection, and treat your models like code with tests, reviews, and rollbacks. If you’re planning your career, we share concrete pivot paths into detection engineering with ML, AI governance, and assurance. Want more hands-on practice and mentorship to pass the CISSP the first time and future-proof your skills? Subscribe, share this with a teammate, and leave a review with the next AI topic you want us to tackle.Gain exclusive access to 360 FREE CISSP Practice Questions at FreeCISSPQuestions.com and have them delivered directly to your inbox! Don’t miss this valuable opportunity to strengthen your CISSP exam preparation and boost your chances of certification success. Join now and start your journey toward CISSP mastery today!
