AI is accelerating software delivery, but it's also introducing new security risks that most developers and automation engineers never see coming. In this episode, we explore how AI-generated code can embed vulnerabilities by default, how "vibe coding" is reshaping developer workflows, and what teams must do to secure their pipelines before bad code reaches production. You'll learn how to prompt more securely, how guardrails can stop vulnerabilities at generation time, how to prioritize real risks instead of false positives, and how AI can be used to protect your applications just as effectively as attackers use it to exploit them. Whether you're using Cursor, Copilot, Playwright MCP, or any AI tool in your automation workflow, this conversation gives you a clear roadmap for staying ahead of AI-driven vulnerabilities — without slowing down delivery. Featuring Sarit Tager, VP of Product for Application Security at Palo Alto Networks, who reveals real-world insights on securing AI-generated code, understanding modern attack surfaces, and creating a future-proof DevSecOps strategy.

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