Shift-Left:
Data’s Best Defense

Automatically detect, visualize and document sensitive data flows at the speed of development

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Contemporary Challenges in Data Security

With an emphasis on data discovery and protection in production only, current data security models leave security teams with severe challenges.

Delayed Detection of Data Leaks

Current security tools do not always effectively detect leaks of sensitive data stored in logs, files, or transmitted via APIs and third-party systems. This creates risks and delays in responding to threats.

Data Changes Go Unnoticed Until Deployment

The security team often lacks visibility and engagement with data flow decisions. This increases the risk of detecting new PII, PIFI, or PHI data only when changes are pushed to production, thereby escalating compliance and security risks.

Reactive Compliance Measures

To meet security standards such as SOC-2, ISO-27001, HIPAA, and PCI, it is necessary to document the flows of sensitive data. However, existing manual processes often do not reflect the reality of constantly changing codebases.

HoundDog.ai: Implementing Data Security Controls at the Code Level

HoundDog.ai offers a cutting-edge code scanner that seamlessly integrates with CI pipelines, automatically detecting sensitive data mishandling within developers' workflows.

Harnessing AI for Unparalleled Coverage and Accuracy

  • Detect the most critical data flow vulnerabilities leading to sensitive data exposure in mediums such as logs, files, tokens, cookies, or when exposed through APIs and third-party systems, all mapped directly to CWE and OWASP classifications.
  • Leverage the power of LLM models for unmatched coverage and exceedingly high accuracy, complementing our scanner's pre-defined sensitive data definitions encompassing PII, PIFI, and PHI
  • Get high-confidence findings linked specifically to the sensitivity level of identified data elements. For instance, credit card numbers receive a high sensitivity rating, compared to a lower rating for dates of birth.
  • Add custom data definitions or modify the sensitivity levels of pre-existing sensitive data definitions according to your needs.

Eliminate Developer Friction

  • Surface findings to developers in their existing workflows and source control management platforms, but only if they are accurate.
  • Provide developers with essential context and clarity along with the findings, ensuring they understand, trust, and act upon the results.
  • Leverage options to return issues with specific severity types and bypass particular folders, issues, or rules during scans for enhanced detections and flexibility.

Know when new data elements are introduced
before changes are pushed to production

  • Eliminate surprises.
    Have full confidence over new or updated sensitive data flows in development even if changes are being pushed at an extremely high rate.
  • Prioritize critical components for pen testing.
    Track the flow of sensitive data across every file and component where it is collected, processed, or stored. This approach enables you to focus on the most vital components for pen testing.

Slash compliance costs with automated
evidence gathering

  • Automate the submission of evidence for audits.
    Set evidence collection on autopilot, removing manual efforts. Seamless integrations with audit platforms automate the process of gathering and submitting evidence for vulnerability management and risk assessment controls in security audits like SOC-2, ISO-27001, HIPAA, and PCI.

Works with the Most Popular Frameworks and Technologies

HoundDog.ai supports your favorite languages and seamlessly integrates with your tools, pipelines, and workflows.

C-Sharp (.NET)

Identify and Remediate Sensitive Data Mishandling and Leakage Issues at the Code Level

Through its shift-left approach, HoundDog.ai helps organizations integrate data security controls from the start. Start for free or book a live demo to better understand the product’s capabilities and pricing.