Security and compliance for vector stores

Your AI remembers more than you think.

VecShield is a dedicated privacy, security and compliance control plane built specifically for vector stores and Retrieval-Augmented Generation systems.

Independent control plane · Zero latency in the live retrieval path

Key capabilities

Traditional security tools were not designed for the governance challenges created by AI vector databases. VecShield shows what sensitive data exists in embeddings, which obligations apply, and how teams can safely act on findings.

Deep content & posture inspection

Connect read-only to existing vector stores to detect PII, PHI, cardholder data, secrets, prompt-injection risks, embedding anomalies, missing provenance and cross-tenant data bleed.

Measured confidence & real coverage

Replace ambiguous security scores with precise metrics. Unmeasured or unscanned vector segments remain visible rather than being reported as safe zeros.

Redaction-first privacy architecture

Values are masked by default. Chunk text is fetched live only during explicit review, with compliance roles enforced and every reveal recorded in a tamper-evident audit trail.

Automated obligation & compliance mapping

Map observations directly to frameworks such as GDPR, HIPAA and PCI-DSS to show which policies apply and what evidence is needed for each criterion.

Safe remediation workflows

Propose tagging, quarantining or redacting sensitive vector chunks, with plan-hashing approvals and safe-mode guardrails before execution.

Two areas of focus

Security & Compliance

Register every vector store, assess what's actually in it, and state honestly how much of it was inspected. Inventory, posture, RAG integrity, access auditing, DSAR, erasure and evidence — in one console that runs in your VPC.

Explore security & compliance →

Red teaming the vector store

Authorised adversarial testing of the stores and retrieval behind your RAG application: poisoned and injected documents, sensitive data recoverable through retrieval, and cross-tenant or cross-namespace leakage. You get reproducible cases, not a PDF of vibes.

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Why VecShield?

VecShield never sits directly in your live retrieval path, adding no latency overhead to production AI models. It operates as an independent control plane, giving security and compliance teams visibility, actionable evidence and audit-ready governance over enterprise vector data.

Your environment. Your data. Your call.

The VecShield Security & Compliance Console deploys into your VPC, Kubernetes cluster, cloud account or air-gapped datacenter. Raw chunks, embeddings, prompts, findings and evidence stay in infrastructure you control. Telemetry is off by default and destructive actions are blocked unless you explicitly turn safe mode off.

Self-hosted Docker
Kubernetes / Helm
Terraform
Air-gapped

Connects to the stores you already run.

Chroma
pgvector
Pinecone
Qdrant
Weaviate
Milvus
Redis
OpenSearch
MongoDB
OpenAI vector store
Azure AI Search
Amazon Bedrock Knowledge Bases
Vertex AI

We'd rather tell you what we don't know.

Most tools in this category end on a green badge and a percentage. VecShield ends on a sentence: who concluded what, over which stores, for which period, and what they could not conclude. When a check samples rather than enumerates, the result reads partial — not clean. A percentage is a claim nobody signed.

coverage: What a run actually looked at, stated separately from what it found.
counter-signal: What argues against a finding being real — a vendor's own published example key, a test-mode prefix, a reserved domain.
withheld: An action the product could have proposed and refused, shown beside the ones it made, with the reason.

Detection is not a legal determination. VecShield produces the evidence; the determination stays yours.

Find out what your vector stores are holding.

A 30-minute technical walkthrough against your own architecture — or ours, if you'd rather not show yours yet.

Talk to an engineer