HoundDog provides privacy code scanning to detect PII leaks and automate GDPR data mapping directly from source code. The platform generates audit-ready documentation like RoPA, PIA, and DPIA based on detected sensitive data flows. It also offers an API Context Engine to provide AI coding agents with real-time context on API dependencies and data ingestion points.
Funding
$3.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
EATEFounders
Product
Problem
Organizations face challenges in preventing sensitive data leaks, such as PII, PHI, and PIFI, due to unintentional overlogging and sharing by developers across various mediums, including logs, files, and third-party integrations. Traditional security tools often fail to detect these vulnerabilities early in the development lifecycle, leading to costly remediation efforts and compliance violations. Manual data mapping processes struggle to keep pace with rapid product development, resulting in outdated and inaccurate records of processing activities.
Solution
HoundDog.ai offers an AI-powered code scanner that proactively detects vulnerabilities related to sensitive data exposure within code, enabling a shift-left approach to data security and privacy compliance. The scanner identifies instances where sensitive data is exposed in plaintext across mediums such as logs, files, tokens, cookies, and third-party systems. By continuously tracking and visualizing the flow of sensitive data, HoundDog.ai automates the generation of Records of Processing Activities (RoPA) and provides real-time alerts for potential data processing agreement (DPA) violations. This allows organizations to implement privacy-by-design principles, minimize data exposure, and enhance risk scoring by factoring in data sensitivity.
Target Audience
HoundDog.ai targets AppSec and privacy teams within organizations that handle sensitive data and need to proactively prevent data leaks, automate privacy compliance, and integrate data security into the software development lifecycle (SDLC).
Features
- AI-powered code scanning for continuous detection of sensitive data vulnerabilities (PII, PHI, PIFI, CHD)
- Support for various risky data sinks, including hundreds of third-party integrations
- Automated generation of Records of Processing Activities (RoPA), Privacy Impact Assessments (PIA), and Data Protection Impact Assessments (DPIA)
- Real-time alerts for new PII/PHI data elements introduced into the codebase, categorized by sensitivity level
- Integration with IDEs (VS Code, IntelliJ, Eclipse) to highlight PII leaks as code is written
- Managed Scans for offloading scanning to HoundDog.ai via direct source control integrations (GitHub, GitLab, Bitbucket)
- CI/CD integrations for pre-merge checks and blocking pull requests
- Customizable detection rules for fine-tuning across data elements, sinks, and sanitization functions
- SOC-2 compliance, SSO support, standardized audit logs for SIEM integration, and enterprise support