TestGuild Devops Toolchain Podcast

Developer-First DAST: Fix Security Issues Before They Reach Production with Gadi Bashvitz

Dynamic Application Security Testing (DAST) has a reputation problem. It's noisy, slow, and often ignored by developers — especially in fast-moving CI/CD pipelines. In this episode of the TestGuild Podcast, we explore developer-focused DAST and why traditional AppSec tools struggle to gain adoption in modern DevOps teams. You'll learn: Why most DAST tools fail inside real-world CI/CD workflows What "shift-left security" actually means beyond marketing buzzwords How developer-first DAST reduces false positives and improves signal quality Where AI genuinely helps in security testing — and where it's mostly hype Practical steps QA, DevOps, and engineering leaders can take to reduce risk this quarter Our guest,  Gadi Bashvitz, CEO at Bright Security, shares lessons from decades in cybersecurity, including building security tools that developers actually use — without slowing delivery. If you're responsible for test automation, DevSecOps, or application security, this episode will help you rethink how DAST should work in 2026 and beyond.  

A Practical AI Guide for Business Leaders with Brad Groux

In this episode of the TestGuild DevOps Toolchain podcast, Joe Colantonio sits down with Brad Groux, technologist, AI strategist, and CEO of Digital Meld, to explore what it really takes for businesses to adopt AI successfully. Brad shares practical insights on: How to prepare your people, processes, and data before bringing in AI tools like Copilot or ChatGPT Separating hype from reality when evaluating AI and automation solutions Building an AI stack on a budget that empowers mid-sized businesses to compete Why "start small, think big" is the winning mindset for sustainable digital transformation The role of responsible AI and how leaders can balance innovation with ethics Whether you're a QA leader, automation engineer, or business exec, this episode will give you a grounded blueprint to cut through the noise and unlock the real value of AI in your organization.

Why AI + DevSecOps Is the Future of Software Security With Patrick J. Quilter Jr

Support the show - try out Insight Hub free for 14 days now: https://testguild.me/insighthub In this episode of the TestGuild DevOps Toolchain Podcast, host Joe Colantonio sits down with Patrick Quilter, CEO of Deploy360, to explore how AI is reshaping DevSecOps and what it means for testers, developers, and security engineers. Patrick shares his unique journey from automation engineer to founder to acquisition, and now leading a company working directly with the Department of Defense on secure, AI-powered development pipelines. You'll learn: Why automation engineers are perfectly positioned to move into security How agentic AI can transform DevOps workflows with specialized security agents Why AI won't replace skilled developers—but can supercharge them The role of local vs. cloud LLMs in security and supply chain protection Where DevSecOps and AI are headed in the next 1–3 years Patrick also reveals how Deploy360 is rolling out its next-gen DevSecOps platform and why small-to-medium businesses may benefit most from early access. Learn more about Patrick and Deploy360: Don't forget to subscribe, share, and leave a review if you find this episode valuable for your testing or DevSecOps journey. Try out SmartBear's Bugsnag for free, today. No credit card required: https://testguild.me/bugsnagfree

GraphQL in the Age of AI Agents – Insights from Apollo's CEO Matt DeBergalis

In this episode of the TestGuild DevOps Toolchain Podcast, Joe Colantonio sits down with Matt DeBergalis, CEO of Apollo GraphQL, to explore how GraphQL is transforming the way teams build, ship, and scale applications. Matt shares his journey from open-source pioneer to leading one of the most widely adopted GraphQL platforms in the world—and why GraphQL is more relevant than ever in the age of AI, microservices, and agent-based applications. You'll discover: How GraphQL eliminates over-fetching, reduces technical debt, and accelerates feature delivery Why it's a natural fit for AI agents and future-ready architectures How it improves testing, observability, and security without forcing a backend rewrite Lessons from large-scale GraphQL implementations that every DevOps, QA, and platform engineering team should know Whether you're a developer, tester, or engineering leader, this conversation will give you practical insights to help you build faster, smarter, and with confidence. Try out SmartBear's Bugsnag for free, today. No credit card required: https://testguild.me/bugsnagfree

AI-Powered Predictive Autoscaling for Kubernetes with Jennifer Rahmani

In this episode of the TestGuild DevOps Toolchain Podcast, host Joe Colantonio sits down with Jennifer Rahmani, Co-founder and COO of Thoras.ai, a company redefining how infrastructure scales with AI-driven predictive technology. Drawing from her years as a DevOps engineer in the defense tech sector, Jennifer shares how she and her twin sister turned real-world frustrations into a reliability-first platform that eliminates the guesswork from scaling. We discuss how Thoras.ai integrates with Kubernetes to predict workload demand minutes—or even hours—in advance, allowing teams to maintain high availability without overspending. Jennifer explains why they use the right AI for the right use case, how their predictive autoscaling works in multi-cloud and hybrid environments, and how it helps SREs avoid downtime during unpredictable events like Black Friday or major product launches. Whether you're dealing with noisy data, high cloud bills, or sleepless nights worrying about reliability, this episode delivers practical insights for making smarter scaling decisions.