Prevent PII Leaks Before They Happen β Right in Your IDE
Stop Oversharing & Overlogging at the Source
HoundDog.ai’s IDE plugins provide real time code analysis within the IDE, identifying risky data flows that could increase breach risk or violate internal privacy policies and notices. Available for VS Code, JetBrains, Eclipse, and now Cursor, these IDE plugins identify potential privacy risks and offer simple remediation workflows before code is pushed to GitHub, GitLab, Bitbucket, or other source code management platforms. This makes them one of the most effective shift left approaches for addressing privacy risks at the earliest stages of development.
The IDE plugins are powered by HoundDog.aiβs lightweight and high performance code scanner, designed to track sensitive data flows across various transformations and interpolations in code. These risks are often introduced by developers or AI generated code, where tainted variables or accidental dumping of objects can occur.
The scanner applies deep interprocedural and taint analysis across files, functions, and procedures to flag the exposure of Personally Identifiable Information (PII), Protected Health Information (PHI), Cardholder Data (CHD), and authentication tokens across logs, files, local storage, third party SDKs, and AI specific mediums such as LLM prompts.
For clear cut risky data flows, such as exposure in logs, remediation is straightforward and involves removing the offending code. For more nuanced cases, such as data exposure to AI integrations or third party SDKs, the issues are highlighted for developer review to ensure compliance with existing data processing agreements and privacy notices.
Key Features
π Workspace-Wide Scanning
Automatically scans your entire open workspace to detect leaks of PII, PHI, or authentication tokens in LLM prompts, logs, files, cookies, local storage, and third party SDKs (such as Datadog, Sentry, Segment, and more).
π¨ Seamless Problem Integration
Detected vulnerabilities appear directly in your IDEβs “Problems” panel, making it easy to track, prioritize, and fix issues before your code is pushed to your source control management platform.
π Smart Remediation Strategies
HoundDog.ai provides actionable fix suggestions, including:
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Omitting sensitive data if unnecessary
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Sanitizing data before exposure (e.g., masking, encryption, obfuscation)
Get Started in Seconds
π₯ Download & Install the Plugins from your IDE marketplace or check our our documentation for more details:
Make Privacy-by-Design a Reality in Your SDLC
Shift left on privacy with code scanning. Detect PII leaks, map sensitive data flows, and generate GDPR data maps, RoPA, PIA, and DPIA before code reaches production.