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Learn moreStop PII Leaks Before They Happen - Right in Your Code
HoundDog.ai's static code scanner secures sensitive data at the source, detecting PII leaks early in development - so hackers find nothing worth stealing in production.
The Problem
PII Leaks Are Sneaky, Costly, and Often Caught Too Late
PII Overlogging & Oversharing. Developers unintentionally overlog and overshare PII across risky mediums such as logs, files, and third-party integrations. As teams grow, this risk escalates.
DLP’s Reactive & Unreliable Detection. Relying solely on DLP for PII detection in logs is reactive and unreliable due to sampling limitations. Issues are often identified too late—after logs have been ingested by multiple tools—without context on the root cause.
Data Sensitivity: The Overlooked Risk Factor. AppSec teams struggle to prioritize risks effectively, relying on CVSS scores while neglecting data sensitivity. This leads to improper prioritization of vulnerabilities in code.
Privacy & Compliance Teams Struggle to Keep Up With Rapid Product Development
Manual Data Mapping Can’t Keep Up. Compliance teams rely on tedious surveys and spreadsheets, resulting in incomplete and outdated data maps that fail to reflect the latest code updates.
Blind Spots in Third-Party Data Flows. Most organizations lack visibility into the types of PII shared with third-party integrations, increasing the risk of unnoticed leaks and DPA violations.
AI Exacerbates PII Risk. AI applications introduce multiple interaction points and abstraction layers, making tracking and controlling sensitive data exposure even more challenging.
The Solution
Start PII Leak Detection and Data Flow Mapping Where It Matters Most: In the Code
For AppSec Teams
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Take a step closer to Assume Breach by minimizing the PII footprint before the code reaches production.
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Expand AppSec coverage to detect PII leaks that are difficult to find and remediate in production, reducing the burden on your data security peers.
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Enhance risk scoring by factoring in the sensitivity of data processed within application codebases - not all SQL injection vulnerabilities should be treated equally.

For Privacy & Compliance Teams
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Privacy by design can be overwhelming - we’re here to help.
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Sensitive data mapping and data flow visualization. Track PII/PHI/CHD dataflows across all storage mediums and third-party integrations, maintaining an up-to-date PII inventory at the pace of development.
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RoPA creation. Generate Records of Processing Activities (RoPA) effortlessly.
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Proactive detection of DPA violations. Track data flows to third-party integrations and catch data processing agreement (DPA) violations early, preventing costly production issues.
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New PII/PHI alerting. Get real-time alerts when new PII/PHI data elements are introduced to the codebase, categorized by sensitivity level.

Return On Investment
ROI for Proactive Sensitive Data Protection
ROI for Automated Privacy Compliance
Enhance your AppSec Program by Incorporating Sensitive Data Protection and Adopt a Shift-Left Approach to Privacy Compliance
Unparalleled Coverage and Accuracy
Frictionlessly Fast
Plugs Seamlessly into Developer Workflows
Enterprise Ready
Sensitive Data Protection at the Speed of Development

Juvare
Stop PII Data Leaks at the Source and Automate Data Mapping for Compliance
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.