At Reware Labs, we go beyond traditional vulnerability scanning, giving you the power of a dedicated security expert who understands your project inside and out to proactively identify contextual vulnerabilities before they can live in your codebase.
Join thousands of security teams that have already strengthened their defenses with Reware Labs
Our AI-powered platform provides contextual insights that traditional tools miss
Get actionable insights by scanning against our built-in contextual vulnerability bank, providing the precision needed to securely patch the violated code fragments within the system.
Empower developers to define and run security rules easily, ensuring AI-written code is secured against bespoke business logic flaws.
Always monitor your newly written code blazingly fast. Optimized for speed with advanced algorithms and real-time performance monitoring built-in.
Enable seamless collaboration and effortless sharing of security findings with other engineering groups and teams via various integrated channels.
The system intelligently detects recurring patterns in your codebase and automatically suggests rules based on them, eliminating the manual effort to write security rules.
Deploy worldwide with multi-region support and 99.9% uptime guarantee, ensuring high availability and low-latency analysis across global regions.
Stay updated with the latest trends in application security
AI Security
Traditional security tools miss critical vulnerabilities because they lack context. Discover how AI-powered analysis understands your codebase's unique architecture to identify business logic flaws that conventional scanners overlook. We explore real-world examples of context-aware detection in action.
Case Study
For our initial study, we developed a custom Flask application in Python to rigorously test our AI-native security tool. The application contained 14 carefully crafted vulnerabilities, including several subtle logical issues that conventional static and dynamic analysis tools typically miss. This provided a challenging and realistic environment to evaluate the true capabilities of our contextual analysis approach.
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