Why Does My AI Bot Mix Up Different Customers or Projects?
Ghost context and vector memory cross-contamination in shared vector spaces.
AI bots mix up different customers when multiple users' memories or chat logs are stored in the same vector space without rigid cryptographic tenant isolation. During vector search, semantic overlap causes the bot to retrieve customer A's preferences while serving customer B. Exogram isolates memory into tenant-scoped, cryptographic namespaces.
What Actually Happened in the Real World
A legal research assistant serving multiple law firms began citing confidential settlement details from Firm A's case files in a brief prepared for Firm B because both cases dealt with identical patent infringement clauses.
Why Polite Prompts Like “Please Don't Do This” Fail
Prompt instructions like "Never disclose other clients' data" cannot prevent a retrieval pipeline from injecting another client's vector chunk into the system prompt.
The Sub-Millisecond Code Fix
Exogram implements hardware-level tenant separation at the SQLite storage layer. Every query is strictly locked to an authenticated tenant key, making cross-tenant retrieval physically impossible.
from exogram import ExogramMemory
# Tenant-isolated memory: impossible to query across client boundaries
client_memory = ExogramMemory(tenant_id="client_corp_902", encryption_key=env.CLIENT_KEY)
context = client_memory.search("settlement terms")Frequently Asked Questions
Can metadata filtering in vector databases solve this?
Metadata filtering helps, but a single software bug or missing filter parameter exposes all tenant data. Exogram enforces physical separation at the database file and encryption level.
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