Prevent PII Leaks Before They Happen, Right in Your IDE
HoundDog.ai's IDE plugins run real-time code analysis inside VS Code, Cursor, and JetBrains IDEs, surfacing risky data flows and offering one-click remediation before code is pushed to GitHub, GitLab, or Bitbucket. One of the most effective shift-left approaches for addressing privacy risks at the earliest stages of development.
// authenticate user and write request to audit logasync function login(req: AuthRequest) {
const user = await verify(req.email, req.password);
logger.info(`auth attempt`, { payload: req });
return issueToken(user);
}
Problems · 3
●Auth token may be exposed in logger.info payloadlogin.ts : 14
●PII (email) flows into log sink without maskinglogin.ts : 14
●Object dump includes request password fieldlogin.ts : 14
● AT THE SOURCE
Stop oversharing and overlogging where it starts
The IDE plugins are powered by HoundDog.ai's lightweight, high-performance code scanner, designed to track sensitive data flows across the transformations and interpolations developers write every day. These are exactly the places where tainted variables and accidental object dumps slip in, whether the code is hand-written or AI-generated.
The scanner applies deep interprocedural and taint analysis across files, functions, and procedures to flag exposure of Personally Identifiable Information (PII), Protected Health Information (PHI), Cardholder Data (CHD), and authentication tokens. It ships with more than 100 data types covering GDPR, CCPA, HIPAA, PCI, and other regulations, and tracks them as they move through logs, files, local storage, third-party SDKs, and AI mediums such as LLM prompts.
For clear-cut leaks, like sensitive data flowing into a log statement, remediation is straightforward and the offending code can be removed. For nuanced cases, like data exposure to AI integrations or third-party SDKs, findings are surfaced for developer review against existing data processing agreements and privacy notices.
No CI round-trip. No security review queue. Findings appear next to the line you just wrote, with a clear fix path.
01
Scan as you save
The plugin scans your open workspace on save, applying interprocedural taint analysis across files, functions, and procedures to follow sensitive data wherever it moves.
02
Surface in Problems panel
Findings appear in your IDE's native Problems panel with file, line, and a clear description of the sink the data is flowing into, so developers triage without leaving the editor.
03
Apply targeted fixes
For clear-cut risks, remove the offending code. For nuanced cases, choose masking, encryption, obfuscation, or omit the field entirely, with HoundDog.ai's suggested remediation as a starting point.
● KEY FEATURES
Built for the way developers actually write code
Workspace-wide coverage, native problem reporting, and remediation suggestions you can act on without context switching.
Workspace-wide scanning
Automatically scans your entire open workspace to detect leaks of PII, PHI, cardholder data, and authentication tokens in LLM prompts, logs, files, cookies, local storage, and third-party SDKs.
Findings appear directly in your IDE's native Problems panel, making it easy to track, prioritize, and fix issues before code is pushed to GitHub, GitLab, Bitbucket, or any other source code management platform.
File · line · severityClick to navigate
Smart remediation strategies
Actionable fix suggestions tuned to the type of sink and sensitivity of the data, so the developer knows which lever to pull.
Omit sensitive fields when they're not actually needed
Sanitize before exposure with masking, encryption, or obfuscation
● GET STARTED IN SECONDS
Install the plugin from your IDE marketplace
Free to install. Free to run locally. Sign in only when you want to connect to the HoundDog.ai dashboard.
Shift left on privacy with code scanning. Detect PII leaks, automate GDPR data mapping, and generate PIA and DPIA before code reaches production. Suggested RoPA edits flow straight to your privacy team.
