Compare Liminal vs. RedactXpert

Liminal gives regulated organizations a single governed environment for AI. Rather than securing models an organization has already deployed, Liminal supplies the access itself, so protection is applied before anything reaches a provider. Employees work with leading models from Anthropic, OpenAI, Google and others through one interface, with policy-based routing and no per-provider contracts. Adding a new model becomes a policy decision rather than an integration project, and teams are never stuck waiting for procurement to catch up with what the market released. Sensitive terms are identified within each prompt and masked, redacted, flagged or blocked according to rules defined by data category rather than by department. Masked values are restored in the response, which keeps output usable while regulated information stays inside the organization. Employees never have to sanitize inputs by hand, which is what makes the governed path the one they actually choose. Administrators see who used which model, what rules were applied and where violations occurred. That record is generated at the time of the interaction, so audit requests are answered from existing evidence instead of reconstruction after the fact. Activity can be fed into existing security tooling and reviewed alongside other events rather than in isolation. The platform connects to internal systems through MCP, so employees bring organizational context into their work without moving data into tools nobody is watching. Access follows permissions that already exist. Deployments run on single-tenant infrastructure with SSO and role-based permissions, serving banking and credit unions, insurance, healthcare, education, state and local government, and life sciences.

RedactXpert is an innovative SaaS platform that utilizes artificial intelligence to assist organizations in the secure and efficient elimination of sensitive information and personally identifiable information (PII) from various document formats, such as PDFs, files, spreadsheets, images, emails with attachments, and even handwritten materials, leveraging Microsoft Azure Cognitive Services for superior detection and accuracy. The platform streamlines the process by automating the recognition of both common and custom data patterns, while also providing manual tools for users who desire greater precision, along with integrated document management features that include rotation and page handling. Additionally, it enhances search capabilities and workflow management, allowing users to consolidate multiple files into a single searchable output, thereby optimizing redaction processes. Users benefit from the ability to preview, review, and approve redactions, as well as implement irreversible masking to permanently eliminate sensitive content. Furthermore, the platform allows for the customization of rules that can extend beyond traditional PII categories, thereby bolstering compliance with various data protection laws and regulations. This comprehensive approach ensures that organizations can effectively manage their sensitive information while maintaining the highest standards of security and compliance.