SecuredAI vs. Limina

Limina

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What is SecuredAI?

SecuredAI is a privacy-first AI security platform that helps organizations safely use generative AI by automatically protecting sensitive information before it leaves the user's device. Rather than relying on manual redaction or blocking AI usage altogether, the platform intelligently detects confidential information within prompts and replaces it with context-aware placeholders that preserve the meaning of the conversation. Once the AI model generates a response, SecuredAI restores the original information locally on the user's device so users receive fully contextualized answers without exposing sensitive data to the AI provider. Its Zero-Knowledge Vault architecture encrypts sensitive information locally using a master key that is never stored on SecuredAI's servers, ensuring the platform cannot access or recover customer data. Detection capabilities include names, email addresses, phone numbers, organization names, account numbers, personal identifiers, and custom patterns that organizations can configure for their own sensitive information. Context-preserving obfuscation allows AI models to continue producing accurate responses while preventing exposure of confidential values during processing. The platform currently integrates with OpenAI and DeepSeek, with additional support planned for Grok, Claude, Magic, and other AI ecosystems. SecuredAI is designed for organizations operating in healthcare, financial services, legal, and enterprise environments where privacy, regulatory compliance, and secure AI adoption are essential. By eliminating the tradeoff between usability and security, the platform enables teams to benefit from AI while reducing the risks associated with data leaks, unauthorized disclosure, and shadow AI usage. Its local restoration technology distinguishes it from conventional redaction tools by preserving productivity while maintaining strong privacy protections.

What is Limina?

Limina is a context-aware data de-identification platform for detecting and transforming sensitive information across structured and unstructured enterprise data. It is designed to preserve useful context while removing or transforming information that could create privacy, security, or regulatory risks. Limina identifies PII, PHI, and PCI across more than 50 entity types, including names, Social Security numbers, credit cards, medical conditions, medications, passport numbers, and international variants. Instead of depending solely on predefined patterns, the platform analyzes contextual relationships to identify sensitive information that may span sentences, conversational turns, or unconventional formats. This approach is designed to handle challenging information such as ASR errors, OCR mistakes, handwritten forms, conversational disfluencies, multilingual content, and code-switching. Limina supports 52 languages and has been deployed across markets including the United States, Canada, United Kingdom, Germany, Japan, Hong Kong, Australia, and Switzerland. Organizations can deploy the software as a container inside their own VPC or on-premises infrastructure so data remains within their controlled environment during processing without third-party access or outbound calls. Real-time identification capabilities detect sensitive information as it appears, while data linking connects related entities and helps transform unstructured information into structured data for downstream use. Limina integrates with platforms and infrastructure including AWS, Azure, Snowflake, and NVIDIA NeMo, allowing organizations to incorporate de-identification into existing data workflows.