How It Works
Prevent PII Leaks from the Source
Minimize your data attack surface by proactively identifying and closing vulnerabilities (currently overlooked by SAST scanners) where sensitive data is exposed in plaintext through logs, files, or third-party systems [CWE-201, CWE-209, CWE-312, CWE-313, CWE-315]
See how it works yourself. Use the interactive demos below based on what best suits your needs.
CLI + Markdown File
Use Case
Point-in-time view of detected vulnerabilities and a detailed visualization of sensitive data flows.
Pros
• Includes both the sensitive data report and sensitive data flow visualization to provide security teams complete confidence over sensitive data flows in the codebase
Cons
• Provides a point-in-time view of sensitive data flows. For continuous detection of data changes (including alerts when new data elements are introduced) join our waitlist for the SaaS platform.
GitHub Actions + GitHub Advanced Security Dashboard
Use Case
Continuous detection of vulnerabilities where sensitive data is exposed in cleartext in mediums such as logs, files, tokens, cookies, or third-party systems.
Pros
• Integrates with GitHub’s CI pipeline (via GitHub Actions)
• Surfaces findings directly in GitHub’s Advanced Security Dashboard
Cons
• Focuses on vulnerability detection only. For a detailed view of sensitive data flows, run the CLI scanner and review the results in the Markdown file.
GitLab CI/CD + GitLab Vulnerability Report
Use Case
Continuous detection of vulnerabilities where sensitive data is exposed in cleartext in mediums such as logs, files, tokens, cookies, or third-party systems.
Pros
• Integrates with GitLab’s CI/CD pipeline
• Surfaces findings directly in GitLab’s Vulnerability Report
Cons
• Focuses on vulnerability detection only. For a detailed view of sensitive data flows, run the CLI scanner and review the results in the Markdown file.
CLI + Markdown File
GitHub Actions + GitHub Advanced Security Dashboard
GitLab CI/CD + GitLab Vulnerability Report
Use Case
Point-in-time view of detected vulnerabilities and a detailed visualization of sensitive data flows.
Continuous detection of vulnerabilities where sensitive data is exposed in cleartext in mediums such as logs, files, tokens, cookies, or third-party systems.
Continuous detection of vulnerabilities where sensitive data is exposed in cleartext in mediums such as logs, files, tokens, cookies, or third-party systems.
Pros
• Includes both the sensitive data report and sensitive data flow visualization to provide security teams complete confidence over sensitive data flows in the codebase
• Integrates with GitHub’s CI pipeline (via GitHub Actions)
• Surfaces findings directly in GitHub’s Advanced Security Dashboard
• Integrates with GitLab’s CI/CD pipeline
• Surfaces findings directly in GitLab’s Vulnerability Report
Cons
• Provides a point-in-time view of sensitive data flows. For continuous detection of data changes (including alerts when new data elements are introduced) join our waitlist for the SaaS platform.
• Focuses on vulnerability detection only. For a detailed view of sensitive data flows, run the CLI scanner and review the results in the Markdown file.
• Focuses on vulnerability detection only. For a detailed view of sensitive data flows, run the CLI scanner and review the results in the Markdown file.
More About HoundDog.ai
HoundDog.ai provides a specialized code scanner that detects code logic that is suspected of handling sensitive data (e.g. PII, PIFI, and PHI) and flags issues where sensitive data is exposed in cleartext in mediums such as logs, files, tokens, cookies, or third-party systems. Findings are specifically linked to the sensitivity level of identified data elements because not all data types should be treated equally.
Protect Sensitive Data from Exposure and Streamline Compliance Workflows
Through its shift-left approach, HoundDog.ai helps organizations integrate data security and privacy controls from the start. Start for free or book a live demo to better understand the product’s capabilities and pricing.