Lock down your AI’s memory — protect embeddings, prevent oversharing, and secure RAG workflows.
Request a DemoRetrieval-Augmented Generation (RAG) systems and vector databases are the backbone of modern AI assistants — but they create an under-protected attack surface. Vector embeddings can be reversed to recover sensitive text, vector DBs often lack enterprise security controls, and semantic search can overshare restricted data. Without protection, proprietary knowledge and regulated data are at risk.
VectorVault is DefendAI’s data protection module for AI memory. It encrypts embeddings, enforces fine-grained retrieval permissions, blocks oversharing, and sanitizes context in RAG pipelines — ensuring your AI only sees and shares what it should.
Encrypt embeddings at rest and in transit with AES-256 and customer-managed keys, keeping stolen vectors indecipherable.
Integrates with IAM to ensure AI retrievals only return documents the user is authorized to view.
Detect and redact sensitive or out-of-scope data in retrieved chunks before they reach the model.
Scan and sanitize retrieved context to neutralize malicious instructions hidden in vector data.
Maintain a tamper-proof record of all retrievals and outputs for forensic review and regulatory audits.
See how VectorVault can secure your RAG pipelines and vector databases without slowing innovation.
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The DEFENDAI Solution – Secure Generative AI
