About
We are an early-stage venture applying advanced semantic modeling, static analysis, and AI to discover software vulnerabilities.
We seek to identify subtle, high-severity flaws in complex systems: issues that have evaded detection by conventional tools and pipelines. Our technology is built on two decades of research and innovation at the intersection of program analysis, AI, and cybersecufrity.
Technical Strategy
We are developing a new class of intelligent agents that combine pretrained and custom-trained language model with graph-based reasoning components to identify potential vulnerabilities and use symbolic static analysis tools to verify them.
This represents a departure from training classifiers using conventional code property graph pipelines, or tasking code large language models to uncover subtle issues directly from code.
The yield is zero false positives with deep insight in comprehensible explanations.