HoundDog.ai is an AI-powered code scanner built to help teams catch privacy and sensitive-data issues early—while code is being written, reviewed, and shipped. Instead of waiting for production incidents or manual audits, it supports a “shift-left” workflow that detects and prevents PII exposure throughout the development lifecycle.
The scanner flags potential PII leaks in plaintext across common engineering hotspots such as application logs, config or data files, cookies, tokens, and other code artifacts where sensitive values often slip in unintentionally. Beyond simple pattern matching, HoundDog.ai tracks how data moves through your codebase and into third-party services. This helps teams understand what data is being shared, where it goes, and whether those flows align with internal policies or existing Data Processing Agreements (DPAs). When something looks inconsistent—such as sending sensitive fields to an integration that shouldn’t receive them—it surfaces the risk early, when it’s easiest to fix.
HoundDog.ai fits into real development workflows. Developers can use IDE plugins to get feedback as they write code. Security and privacy teams can run managed scans connected to source control for continuous visibility across repositories. For enforcement, CI/CD integrations enable pre-merge checks that can block pull requests, add actionable review comments automatically, and prevent risky code from being merged. more
Free
$0 /mo
Sensitive Datamap
Starter
$100 /yr
Per developer, PII Vulnerability Detection, Sensitive Datamap, Sensitive Data Flow Visualization, Privacy Compliance Automation, Alerts & Issue Tracking, CI/CD Integration, Security Dashboard Integrations, Dedicated support: 8x5 Email
Enterprise
Contact Us
PII Vulnerability Detection, Sensitive Datamap, Sensitive Data Flow Visualization, Privacy Compliance Automation, Alerts & Issue Tracking, CI/CD Integration, Security Dashboard Integrations, IDE Plugins, Managed Scans, AI-Powered Detection (Coming Soon), Priority support with SLA: Email and dedicated private Slack channel
Comments