Read-only by default, encrypted throughout, fully audited — and never used to train anyone else's Alfred. Here is exactly how.
The question on a security review isn't "what can Alfred do?" It's "can I trust what it tells me — and where does my data go?"
Fair. You have been burned before — by a dashboard that looked authoritative and was quietly wrong. So Alfred earns the trust by design, rather than assuming it.
Every safeguard that follows is a design decision, not a policy promise — read-only access, data isolation and no cross-customer training are built into how Alfred works.
Each customer's data lives in its own isolated boundary. No shared tables, no commingling across accounts.
The patterns Alfred learns about your business stay in your tenant. They are yours, and only yours.
Your data never trains another customer's Alfred — or any shared foundational model. Ever.
Foundational models are reached through APIs only. No third-party data sharing, no data sold on.
Every read, recommendation and write-back is logged with who, what and when — exportable for review at any time.
RBAC on Max and Enterprise. People see and do only what their role permits — nothing further.
Alfred acts in your tools only after you explicitly authorise it, per integration. Write-back is encrypted, and every action is recorded.
Traceable to source. Each number reconciles back to the system it came from — GA4, Google Ads, HubSpot, Salesforce.
Reasoned, not asserted. Every recommendation carries its why: the root cause and the evidence behind it.
Causal Confidence Score. Each hypothesis is scored, so you know exactly how much weight to give it.
Northwind's Search CAC rose 14% over 7 days while LinkedIn held its pipeline efficiency. Reallocating protects an estimated $96K in projected pipeline.
Alfred's edge is the institutional memory it builds about your business. That memory compounds for you — and is never packaged, sold, or used to sharpen a competitor's Alfred.
After roughly six months, Alfred Core holds the patterns, outcomes and causes specific to your organisation. Contained inside your tenant. Never commercialised.
Secure read-only API connections by default.
Encrypted write-back only on explicit, per-integration authorisation.
Full audit trail across reads, recommendations and writes.
Data isolation between every customer.
A private pattern library per customer — never shared.
No cross-customer training; API-only foundational-model usage.
No third-party data sharing; no sale of your intelligence.
Up to a year of history synced in week one, zero engineering.
Read-only to start, encrypted throughout, audited end to end. Time to first insight: under a week.
Book a security review →