Our company relies heavily on AI integrations to streamline workflows for product managers and engineering teams. Having code-based evidence of what data is processed, stored, and shared helped us stay aligned with our privacy notice and build trust with customers who require stringent security and privacy reviews. The automated CI configuration let us plug the scanner into our development workflow in seconds, so we could proactively catch risky data flows before any data actually starts moving. The scanner is also extremely fast, finishing scans within seconds and adding minimal latency to our CI pipeline. Overall, the user experience is intuitive: it clearly surfaces risky data flows, provides automated remediation, and automates ROPA and PIA generation. At $200 per developer per year, the ROI felt easy to justify, and the product effectively paid for itself within the first month of use.

We process sensitive video footage across multiple industries and ensuring the data flowing through our platform stays compliant is critical. HoundDog.ai gave us code-based evidence of exactly where sensitive data is processed, stored, and shared across our integrations, helping us back up our privacy commitments with proof rather than assumptions. As we scale across new industries and add more AI capabilities, this scanner is now a core part of our CI workflow, catching risky data flows before they reach production