Security tooling should understand code like developers do

Tachyon Security was founded on a simple belief: security should enable velocity, not block it. Traditional SAST tools generate thousands of alerts, most of which are false positives or low-impact findings. Security teams spend weeks triaging. Developers lose trust in the tools.

We set out to build an AI-native platform that actually understands your code—context, data flows, business logic, and exploitability. Tachyon doesn't just find patterns; it reasons about your entire codebase, validates whether vulnerabilities are actually exploitable, and generates working proof-of-concepts.

The result? Fewer alerts. Higher signal. Real fixes. Security teams can focus on what matters. Developers can ship with confidence.

Tachyon was born out of frustration. Our founding team came from engineering and security roles at companies like Databricks, Google, and Snapchat—places where scale and velocity matter. We saw the same problem everywhere: security tools that couldn't keep up with modern development.

Traditional scanners would flag thousands of issues in a single scan. Security teams would spend weeks manually validating which ones were real. Developers would ignore the noise. Critical vulnerabilities would slip through because they didn't match a known pattern.

We knew AI could do better. Not just pattern matching, but true code understanding—reasoning about control flow, data propagation, authentication boundaries, and exploitability. We built the first version of Tachyon to solve our own problem: find the vulnerabilities that matter, prove they're exploitable, and show us how to fix them.

Today, Tachyon has discovered over 30 CVEs in production systems, helped teams reduce false positives by 90%, and enabled security teams to move at the speed of development. We're just getting started.