Mirror Security
Mirror Security provides a privacy-preserving AI inference platform utilizing Fully Homomorphic Encryption (FHE) to secure Large Language Model (LLM) operations. By enabling computation on encrypted data, it eliminates the need to decrypt sensitive information before processing, effectively closing the 'inference gap' in cloud-hosted AI environments. It complements existing AI-SPM tools by adding a cryptographic layer of data protection during the execution phase of generative AI applications.
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The Picari read
Mirror Security focuses on AI posture management by finding AI assets, classifying their data and storage, and flagging misconfigurations, leaked secrets, and supply-chain exposure in ML pipelines. It is best for teams that need inventory and risk visibility across AI systems, not runtime prompt filtering or agent controls.
- Organizations handling highly sensitive data with AI models in cloud environments, particularly those with stringent privacy requirements.
- Securing financial and healthcare data processed by LLMs.
- Protecting intellectual property during AI-driven content generation.
- Ensuring compliance with data residency and privacy regulations in AI.
- Enabling secure multi-party computation with sensitive AI models.
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Mirror Security pricing and integrations
For Mirror Security integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.
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Are you from Mirror Security? Verify this profileProfile last updated on 6 September 2026 by Picari.