The Governance Layer for Enterprise AI Memory.
Empower your AI agents with long-term memory that is trustworthy, fully auditable, and strictly compliant. Prevent hallucinations and secure PII at the foundational level.
The Governance Gap
Standard RAG pipelines treat memory as a black box. We bring observability and control to every retrieval event.
Ungoverned Memory
- Unfiltered Context: High risk of hallucination from stale or conflicting data.
- PII Vulnerability: Sensitive customer data ingested without redaction.
- Zero Traceability: Impossible to prove exactly what context an agent used for a decision.
RecallGuard Governed Memory
- Human-in-the-Loop: Mandatory review gates for critical memory updates.
- Real-time PII Scan: Automatic redaction before vectorization.
- Atomic Audit: Cryptographic proof of every retrieval and write operation.
Core Capabilities
Human-in-the-Loop Review
Implement approval pipelines for high-stakes agent memory. Ensure subject matter experts validate complex contextual updates before they impact automated decisions.
Real-time PII Detection
Continuous scanning of inbound text blocks, masking sensitive data before it reaches the embedding model.
Atomic Audit Trails
Powered by Aurora DSQL, every memory interaction is logged immutably for compliance reporting.
Per-Agent Cryptographic Keys
Isolate memory silos between different agents. Rotate keys instantly to revoke access without rebuilding entire vector stores.
Built for Cross-Functional Trust
Platform Teams
Centralize AI infrastructure management with standardized governance APIs.
Compliance Officers
Export SOC2-ready audit logs and verify data residency rules.
Agent Developers
Focus on agent logic while RecallGuard handles memory security and filtering.
Enterprise-Grade Foundation
RecallGuard is built on a modern, scalable architecture designed for high availability and strict data governance.
Secure Your Agent Knowledge Today.
Deploy the governance layer trusted by security-conscious enterprises.
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