Static Application Security Testing (SAST)

Traditional SAST tools are powerful scanners, but they operate largely in isolation, producing high volumes of findings without the context needed to know which ones actually matter in your environment. 

OX correlates SAST findings with runtime data, pipeline context, and business impact to determine reachability and exploitability. The result is a dramatically smaller set of high-confidence findings your team can act on immediately, rather than a backlog that grows faster than it gets resolved.

AI coding assistants like Cursor and Copilot accelerate development but also introduce new vulnerabilities faster than traditional review processes can catch them. 

OX addresses this through VibeSec, which embeds security directly into AI coding environments to prevent vulnerabilities at the point of creation. 

For code that has already been written, OX Code’s contextual SAST prioritizes findings based on exploitability, ensuring that AI-generated code doesn’t silently add to your security backlog.

OX supports over 100 languages and frameworks, with direct integration into developer workflows via Git-based scanning and CI/CD hooks. 

Setup is zero-agent and connects to existing repos and pipelines in hours, making it practical to deploy across large, multi-repo environments without significant onboarding overhead.

Code Projection is OX’s capability for tracing vulnerabilities from runtime observations back to their originating source code, repository, and commit. 

Rather than assessing a static finding in isolation, OX can determine whether vulnerable code is actually reachable and executable in production, and map it to the specific file and change responsible.

This makes prioritization based on real-world exploitability possible, rather than relying on severity scores that don’t account for your specific environment.

False positives are a product of context-free analysis, flagging patterns that look risky in isolation but aren’t exploitable in your specific environment. 

Per the OX 2025 Application Security Benchmark, 95–98% of findings in legacy tools are non-critical or false positives.

OX reduces false positives by correlating findings against runtime data, deployment context, and business logic before surfacing them to your team. 

In practice, this means OX typically reduces the actionable finding set to a small amount of raw alerts, the issues that are genuinely reachable, exploitable, and worth prioritizing.