Compare Redecta vs. Velum Privacy

Redecta is a web-based data protection solution tailored for individuals and organizations utilizing generative AI services. This Chrome extension identifies sensitive data within prompts and conceals it prior to submission to compatible AI platforms. Users can select from established detection methods and develop personalized masking protocols, while teams can oversee masking configurations, policies regarding AI usage, and monitor activity through an intuitive web dashboard. The tool is crafted to seamlessly integrate with browser-based AI workflows, allowing users to maintain their existing services without needing to transition to an alternative AI interface. Redecta aims to assist both individuals and groups in minimizing the risk of inadvertently sharing personal, customer-related, confidential, or internal information in AI prompts. Its accessibility is contingent upon the specific platforms and browser configurations in use. Additionally, it empowers users by providing flexible options tailored to their unique data protection needs.

Velum Privacy is designed to protect personal data before it interacts with an AI assistant, subsequently restoring the actual values in the response, all while operating solely on your machine without the need for servers, accounts, or any telemetry. The system is inherently reversible; it employs one-way redaction to secure the data, although this would typically compromise the response, yet a local mapping ensures that the returned reply remains intelligible. This solution comprises three distinct interfaces integrated into a single engine: a browser extension compatible with Chrome, Brave, Edge, and Vivaldi that offers text masking without requiring an account; a macOS desktop application that manages documents, folders, and coding tasks through MCP, with a Windows version currently under development; and an application for Jira and Confluence Cloud that operates within your own Atlassian environment. Detection is achieved through a combination of pattern recognition, checksum validation specifically for IBANs and national IDs, and a local named entity recognition model that supports nine language variations, with published accuracy metrics highlighting a remarkable 99.8% must-mask F1 score at the highest level, including failure rates. The commitment to transparency is evident, as the extension specifies zero host permissions, while the desktop application meticulously lists every outbound connection and ensures masking occurs even when the network is offline, reinforcing the integrity of the system. Such comprehensive measures ensure that users can maintain control over their sensitive information while enjoying the benefits of AI technology.