Securing the Cloud
At Machine Speed
CIDR was born out of frustration. Traditional SIEMs were too slow, and legacy CSPMs lacked context. We set out to build a unified detection engine powered by Python and Automation.
The Origin
Most security operations centers (SOC) are broken. Engineers spend 80% of their time writing SQL queries to comb through petabytes of CloudTrail logs, attempting to write regex signatures that inevitably get bypassed by novel attack vectors.
CIDR started as an internal tool designed to solve this data-gravity problem. By hooking a distributed Java backend to a stateful Python anomaly detection engine, we realized we could score entities based on behavioral deviations rather than static rules.
Today, CIDR serves as the nerve center for forward-thinking cloud engineering teams, closing the loop between threat detection and infrastructure remediation.
Our Core Values
The first principles that guide our product engineering.
Precision over Noise
Security teams shouldn't be drowning in false positives. Our ML engine is built to maximize true positive detection precision.
Built for Velocity
Cloud infrastructure scales in milliseconds. Our automated response playbooks are designed to act just as fast.
Engineer Centric
We build tools that security engineers actually want to use, focusing on developer ergonomics, API-first access, and dark-mode defaults.
