In this episode, Prabh Nair and Ross dive deep into the security implications of Generative AI in software development. As AI tools like ChatGPT transform developers into prompt engineers, new cybersecurity, compliance, and data privacy risks emerge.Ross Yonghttps://www.linkedin.com/in/mrrossyoung/https://owasp.org/www-project-threat-and-safeguard-matrix/

We discuss:https://owasp.org/www-project-threat-and-safeguard-matrix/AI code security challenges – vulnerabilities in unvalidated AI-generated codeDefense-in-depth strategies for secure AI adoptionOWASP Threat & Safeguard Matrix (TSM/TASM) and its role in threat modelingBalancing productivity vs security in AI-enabled DevSecOps pipelinesCISO challenges – shadow AI, data security posture management, and data loss preventionAI governance frameworks – NIST AI RMF, EU AI Act, security-by-design and privacy-by-design practices💡 Key Takeaways:✔ Why organizations must scan and validate AI-generated code for vulnerabilities✔ How CISOs can embed AI security controls into CI/CD pipelines✔ The role of KPIs and business impact analysis in proving AI risk reduction to executive leadership✔ Best practices for integrating TASM into enterprise-wide threat modeling✔ Emerging tools like Encrypt AI for compliance scanningThis is a must-watch for CISOs, security architects, developers, and AI governance professionals preparing for the next wave of AI-powered cybersecurity risks.AI Governance https://www.youtube.com/watch?v=LgFBi5XD-Ow&pp=ygUNYWkgZ292ZXJuYW5jZdIHCQmyCQGHKiGM7w%3D%3DPractical ai governancehttps://www.youtube.com/watch?v=dQUML9vnlY4&t=542s&pp=ygUTYWkgZ292ZXJuYW5jZSBwcmFiaA%3D%3DAI Securityhttps://www.youtube.com/watch?v=JtkDwE_s178&pp=ygUVYWkgZ2VuIHNlY3VyaXR5IHByYWJo#genai #genaisecurity #infosec #cybersecurity