AI For DevSecOps: Securing Applications From Within | Register now
Introduction DevSecOps isn’t broken, but under stress as AI-generated code accelerates delivery. It’s also injecting complexity and risk into development pipelines, often without clear visibility. Developers are now expected to integrate security scanning into CI/CD, interpret ambiguous findings, and deliver clean code at machine speed. In this article, you will learn where traditional DevSecOps workflows […]
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Key Findings The SAIL (Secure AI Lifecycle) Framework outlines AI-specific risks across the lifecycle, but lacks implementation details. Qwiet AI fills this gap with direct, technical controls focused on code and configuration-level vulnerabilities. Qwiet AI aligns with SAIL Phases 2 and 3 by identifying hidden AI assets, detecting hardcoded secrets, auditing third-party AI components, and […]
Key Takeaways Claiming that AI alone is not sufficient proof is one thing; real value comes from demonstrating how AI actually functions, not merely stating that it exists. AI-washing erodes trust. Vague claims or superficial integrations damage credibility across the AppSec space. Agentic, transparent systems win. Teams should look for tools that integrate AI deeply, […]
Key Takeaways AI Native means built, not bolted. It’s the difference between a platform that embeds AI into its architecture and one that adds it later as a feature. Only the former can deliver meaningful context, automation, and integration across the SDLC. Developers need signal, not noise. AI-native tools like Qwiet prioritize relevance, context, and […]
After years of uncovering investment and retail banking fraud, I’ve developed a finely tuned radar for risk disguised as innovation. So when security vendors market “community rules” as a revolutionary leap forward, my fraud-detection instincts go haywire. It’s a wolf in sheep’s clothing, a potential threat masquerading as transparency. Let’s be clear: regulated financial institutions […]
Did you miss the first post? Check out: AppSec House of Cards: Legacy Scanners vs. Agentic Workflows Modern applications aren’t monoliths. They’re sprawling, service-based systems built in multiple languages and stitched with queues, APIs, and serialization layers. In this environment, user input doesn’t just move it migrates across boundaries. The Business Risk: When One Missed […]
Recent breaches at GitLab and GitHub and new research into AI-driven coding expose a troubling pattern in software security: developers have built unified pipelines of tightly integrated tools. While these boost efficiency, they introduce new risks if attackers breach the platform: GitLab disclosed an actively exploited vulnerability tied to how CI/CD job tokens were handled […]
Help me CPG, you’re our only hope! The fundamental challenge in software security today isn’t just finding vulnerabilities, it is the inherently fragmented understanding of complex systems. When we examine why critical vulnerabilities persist despite sophisticated expertise and tooling, we often find they exist in the connections and interactions that traditional approaches are simply blind […]
Qwiet AI and the ancient Greek physicians like the father of medicine Hippocrates have much in common. Hippocrates highlighted the significance of a healthy diet and lifestyle in preventing diseases and acknowledged the root cause of physical and psychological ailments as diet and lifestyle choices (Διαιτήμασί in Greek), and now Qwiet AI is delivering his […]
In the ever-evolving landscape of software development, ensuring the security of applications has become a paramount concern. As cyber threats continue to grow in sophistication, it is crucial for developers and security professionals to stay ahead of the curve. This article explores a groundbreaking approach that combines the power of Code Property Graphs (CPGs) and […]
