Advanced Module
Memory Governance
Prevent agents from acting on remembered context that has outlived its authorization.
The Problem
Modern AI agents rely on persistent memory — they remember previous conversations, past data accesses, and prior decisions. This memory is what makes them useful: an agent that forgets everything between tasks can't build on prior work. But persistent memory creates a novel governance problem that no other platform addresses.
An agent that was authorized to access PII during one task may retain that PII in its memory long after the task is complete and the authorization has expired. An agent that was scoped for a European customer's data may remember it while working on an American customer's case, violating GDPR data localization. An agent's behavior may drift from its registered purpose as its memory accumulates context no longer relevant to its current task.
⚠️ Memory-based data leakage is the #1 unaddressed risk in enterprise AI agent deployments. Most governance platforms treat agents as stateless functions — but agents are stateful, and their state is a liability.
How SinzAI Solves It
Memory Governance operates on a three-phase principle:
Memory Informs
SinzAI continuously inspects each agent's persistent memory — the context window, vector stores, and conversation history — and classifies every remembered fact by data sensitivity, authorization scope, and temporal relevance.
Authority Resolves
When the authorization for a remembered fact expires (task complete, scope change, policy update), SinzAI flags it as stale. Stale memory is not deleted — but it is marked as unauthorized for use in future actions.
Enforcement Executes
If an agent attempts to act on stale memory — referencing a customer's PII from a completed task, or using data from a revoked scope — SinzAI blocks the action and triggers a re-approval workflow.
Memory Classification
Every remembered fact is classified with three attributes:
| Attribute | Values |
|---|---|
| Data Sensitivity | Public / Internal / Confidential / PII / PHI / PCI |
| Authorization Scope | Task-bound / Session-bound / Agent-bound / Persistent |
| Temporal Relevance | Active (< 1hr) / Recent (< 24hr) / Stale (> 24hr) / Expired (scope revoked) |
Behavioral Drift Detection
Beyond stale authorization, Memory Governance detects behavioral drift — when an agent's actions diverge from its registered purpose as its memory accumulates unrelated context. Drift is measured by comparing the agent's current action patterns against its declared purpose embedding.
When drift exceeds a configurable threshold, the agent is flagged for re-approval. The security team reviews the agent's memory contents, recent actions, and drift report — then decides whether to re-scope, clear memory, or halt the agent.
Forced Re-Approval
Memory Governance can force agent re-approval when:
- Stale PII is detected in memory beyond the task TTL window
- Cross-region data is remembered outside its jurisdiction scope
- Behavioral drift exceeds the threshold for 3 consecutive evaluations
- A data store classification upgrade invalidates previously authorized memories
- An agent's credential is rotated (re-authentication triggers memory review)