Qwiet AI Honored as Winner of Best Application Security Solution at the 2025 SC Awards
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, […]
READ MORE
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 All-in-one platforms trade depth for surface-level coverage: Bundling SAST, DAST, IAST, RAST, and ASPM into a single tool often leads to overlap in low-risk areas (e.g., basic code vulnerabilities) and blind spots in high-risk ones (e.g., complex business logic vulnerabilities). Context-aware tools, which understand an application’s specific context, outperform general-purpose scanners: These tools […]
Key Takeaways Static tools miss logic-driven vulnerabilities. Traditional SAST tools flag obvious syntax-level risks but fail to understand business rules, multi-tenant boundaries, or the actual intent behind code behavior. Qwiet’s comprehensive analysis traces full execution paths across helpers, middleware, and services. Modeling code as a connected graph uncovers hidden risks buried in trusted-looking utilities, such […]
