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Secure by Default - Building Confidence in AI-Driven Delivery

Conf42 via YouTube

Overview

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Explore the critical intersection of artificial intelligence and secure software delivery in this comprehensive conference talk from Conf42 DevSecOps 2025. Examine the fundamental shift from traditional development pipelines to AI-driven automation and understand the security implications that come with this transformation. Learn about the stark differences between idealized AI pipelines and real-world implementations, discovering the unique challenges that emerge when integrating AI into DevSecOps workflows. Investigate real-world case studies demonstrating the impact of AI vulnerabilities on software delivery systems and understand why traditional security approaches fall short in AI-driven environments. Delve into the concept of "Secure by Default" systems and discover why this approach is essential for building confidence in AI-powered delivery pipelines. Master the four fundamental pillars of Secure by Default DevSecOps practices and see how these principles can be applied to create more resilient and trustworthy AI-driven systems. Gain practical insights into implementing secure by default practices using real-world examples and tools like Harness, understanding how organizations can build robust security into their AI-driven delivery processes from the ground up. Walk away with actionable strategies for addressing AI-specific security challenges and building confidence in automated delivery systems while maintaining the speed and efficiency that AI promises to deliver.

Syllabus

00:00 Introduction to AI in Software Delivery
01:06 The Shift to AI-Driven Automation
01:20 Speaker Introduction and Background
02:35 The Ideal vs. Real Pipelines
05:52 Challenges in AI-Driven Pipelines
07:24 Real-World Impact of AI Vulnerabilities
13:21 The Need for Secure by Default Systems
26:58 Four Pillars of Secure by Default DevSecOps
34:37 Harness: Implementing Secure by Default
38:47 Conclusion and Key Takeaways

Taught by

Conf42

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