How HN: Slopfence – browser native DLP that stops secrets leaking to LLMs (slopfence.com)

A new browser-native data loss prevention (DLP) tool called Slopfence has been announced, designed to stop sensitive information from leaking into large language models (LLMs). With organizations averaging around 5,000 employees risking exposure as they send numerous unmonitored prompts daily, Slopfence aims to address this critical vulnerability by providing real-time monitoring and control over what data is shared with AI tools. The platform is user-friendly, allowing companies to deploy it through existing management systems like Jamf or Intune without the need for proxies or VPNs, enabling immediate protection against data leaks. For the AI/ML community, this development is significant as it highlights a growing awareness of data security in the face of increasing reliance on AI solutions. Slopfence empowers IT and security teams to understand and manage how sensitive data flows into AI applications, allowing them to set specific permissions and control measures quickly. The ability to block, redact, or allow data transmission in milliseconds provides a robust framework for organizations to safeguard their proprietary information and mitigate the risks associated with using AI technologies.