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.ai’s 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.
Install IDE Plugins
Follow the instructions in the respective IDE plugin marketplaces to install and configure the plugins: