AI For DevSecOps: Securing Applications From Within | Watch On-Demand
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Key Takeaways Log4j is still present in many applications due to transitive dependencies and outdated libraries, making it a current, not just historical, threat. Traditional security tools often bury real threats like Log4j under layers of unrelated alerts, making it hard for developers to know what matters. Qwiet helps developers prioritize and fix real vulnerabilities […]
Key Takeaways Shift-left alone isn’t enough. With AI-generated code and fast CI/CD, static scans during development can’t detect runtime risk or traceable exploits. Shift-everywhere integrates context-aware security. By using tools like Code Property Graphs, ownership mapping, and exploit reachability analysis, teams can embed actionable security logic throughout the SDLC. Developers need fewer alerts and more insight. […]
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 False negatives pose a significant hidden risk by allowing real vulnerabilities to slip through security scans undetected, leaving systems exposed without raising alerts. Technical limitations, changing environments, and tool trade-offs are the main reasons false negatives persist, even after decades of AppSec progress. Reducing false negatives requires a comprehensive and layered strategy that […]
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 […]
Introduction In software development, transitioning to a microservices architecture is like breaking a big structure into smaller, more connected units. This change lets you scale and be flexible but also brings security challenges. This article looks at how to secure a microservices architecture. It focuses on strategies to isolate and protect each service. Security Risks […]
Back in 1893, the Lizzie Borden murders, where the Massachusetts woman was accused of killing both her parents with an ax, captivated the public and news media. Eventually found not guilty, one fundamental question perplexed police officers and the jury. Every door inside the Borden house had its own lock and corresponding key, an attempt […]
Introduction Within the cascading bytes and bits of digital communications, developers forge pathways of data, threading information through the vast expanse of the internet. However, threats lurking within these pathways seek to intercept, manipulate, and exploit this data. This article ventures into HTTPS and Strict Transport Security (HSTS), offering developers a guide to comprehend, implement, […]
