Mirror Security Vector Intelligence Platform is a commercial database security tool by Mirror Security. PVML is a commercial database security tool by PVML. Compare features, ratings, integrations, and community reviews side by side to find the best database security fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Enterprise and mid-market teams securing vector databases for AI applications need Mirror Security Vector Intelligence Platform because FHE encryption lets you search sensitive embeddings without decrypting them in memory, eliminating the attack surface that traditional database encryption leaves open. Sub-50ms query latency on encrypted data and 99.9% search accuracy preservation mean you're not trading performance for security, and hybrid deployment across AWS, Azure, GCP, and on-premises handles the infrastructure flexibility most large organizations require. Skip this if your vector workloads are small-scale or exploratory; the operational complexity of FHE assumes mature AI/LLM programs where data lineage and fine-grained access control justify the investment.
FHE-powered vector database security platform for AI/LLM data protection
Secure virtual database layer with AI-ready access controls and differential privacy.
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Common questions about comparing Mirror Security Vector Intelligence Platform vs PVML for your database security needs.
Mirror Security Vector Intelligence Platform: FHE-powered vector database security platform for AI/LLM data protection. built by Mirror Security. headquartered in Ireland. Core capabilities include Fully Homomorphic Encryption for vector databases, Fine-grained security policies for AI agents and RAG pipelines, Role-based access controls and encryption key management..
PVML: Secure virtual database layer with AI-ready access controls and differential privacy. built by PVML. Core capabilities include Virtual database creation on existing infrastructure with zero data movement, Differential privacy and security engine for real-time query-level access control, Dynamic, context-aware user-level permissions applied before database execution..
Both serve the Database Security market but differ in approach, feature depth, and target audience.
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