WEBINAR: Navigating Security Risks of ‘Vibe Coding’ with VulnCheck | Wed Aug 27, Noon ET | Register Here
Key Takeaways Log4j is still present in many applications due to transitive dependencies and outdated libraries, making it a current, not just historical, threat.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 […]
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Key Takeaways Agentic AI brings context and reasoning to security, helping tools detect vulnerabilities and whether they’re exploitable based on code behavior. Contextual reachability filters out noise by mapping real data and control flow, giving developers clear and actionable findings. Qwiet AI’s CPG and agentic model support precision and automation, aligning AppSec with the realities […]
Claude’s announcement about vulnerability detection capabilities got me thinking. As someone who uses Claude Code daily and has built deterministic analysis tools, I’ve seen both the incredible potential and the real limitations of LLMs in security work. Let me be clear upfront: Claude Code has become indispensable in my workflow. The productivity gains are real. […]
Sorry, we missed you at our Black Hat 2025 Playbook webinar with Cyera and Qwiet AI! We shared a quick, informative breakdown of what we’re most excited about for next week, and while you couldn’t make it, we still want you in the loop. If you haven’t registered for our events yet, no worries, we’ve included the […]
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 Takeaways Understanding the security risks introduced by machine learning systems beyond the model layer is crucial. These risks include outdated dependencies, weak secrets management, and architectural mismatches in legacy codebases. Secret sprawl is a growing concern, especially with AI agents embedded in CI/CD workflows. This trend makes runtime exposure, hardcoded credentials, and misconfigurations increasingly […]
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 Shift left overburdened developers without giving them the right tools or support. The intention was solid, but the execution often left devs overwhelmed and security goals unmet. Shifting to the middle means shared responsibility, not shifted burden. With security integrated contextually into dev workflows, both speed and protection improve. Developer-security collaboration thrives when […]
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 […]
Key Takeaways Even the Most Mature DevSecOps Teams Can Miss Basic Flaws: GitLab’s account takeover vulnerability illustrates how even well-resourced, security-minded organizations can overlook foundational authentication checks. There’s a Pattern of Similar Incidents Across the Industry: Microsoft, Okta, and CircleCI have all experienced recent breaches tied to identity or access logic. These are systemic, not […]
