LogRiteLogRite

Govern the AI talking to your customers

Your assistants and support bots read order history, addresses, and payment details to be useful. LogRite checks every AI call against your rules before that data leaves, finds what already sits in the logs you wrote, and names the cause when checkout slows.

Control and audit evidence aligned to

PCI DSSSOC 2GDPR

Every AI call

Checked before customer data leaves

7% → 100%

Log coverage, measured and closed

30–40%

Faster root-cause analysis with Cortex AI

PII

Auto-detected and masked before it is written

Three places customer data gets away from you

The AI answering your customers, the logs you wrote before anyone was watching, and the checkout path on the busiest day of the year.

Customer-facing AI

The support bot can see the whole order

Shopping assistants, returns bots, and support copilots read order history, addresses, and payment details to be useful. Every answer is a call to a model carrying a real customer's data. AI Warden checks each one against your rules and keeps the record of what was sent.

Every AI call to a customer, visible
PII held back before it reaches a model
The full exchange on record

The logs you already wrote

Card numbers in a log file from last quarter

Payment details and personal data end up in plaintext logs long before anyone writes a rule about it. Collector Agents read the logs your systems already produce and recheck them against your rules, so data written months ago surfaces today rather than during an audit.

Historical logs rechecked, not just new ones
PII auto-detected before write, going forward
Findings you can act on before someone else finds them

Peak traffic

Checkout slowed and nobody knows where

On the day traffic triples, a checkout slowdown is revenue leaving in real time. Every checkout and payment event lands as a structured log, anomalies surface against baseline, and Cortex AI reasons across the trail to name the cause rather than the symptom.

Deviation surfaced against baseline
Root cause, not a dashboard to read
Answers while the traffic is still there

AI Warden

A helpful answer should not cost you a customer's data

To resolve a returns question, an assistant needs the order. To be useful, it needs enough of the record to be dangerous. AI Warden sits in front of those calls as a drop-in relay: each request is checked against your rules, scanned for sensitive data, judged, and then allowed, flagged, or stopped. The decision and the payload are kept either way.

Every AI call your storefront makes, visible
Allow, notify, or block on your terms
Payment and personal data held back
The rule that fired, the verdict, and who sent it

Collector Agents

The exposure you already shipped

Masking data going forward does nothing about the card number written into a log file two quarters ago. Collector Agents read the logs your systems already produce, on your hosts and in your databases, and run every new rule across what is already there.

Logs you already wrote, rechecked
Host and database sources, no rewrite
New rules applied to old data
logrite — live stream
anomaly detected
14:02:11infoorder.created
14:02:11infopayment.captured
14:02:12warnpayment.retry
14:02:12errorpayment.timeout
14:02:13infoorder.created
Example investigation
Checkout feels slow since this morning, but the dashboard looks fine
Checking checkout and payment events against baseline…
Found a latency shift at 08:40. Checking which step is responsible…

Here's what I found:

  • 1,840 checkouts slower than baseline since 08:40
  • the fraud-check call is the step that regressed, not the gateway
  • 6.2s average response from the provider (normal 0.8s)
  • carts abandoned climbing while the check waits

Cortex AI

Ask why checkout slowed

On peak days the dashboard tells you something is wrong and leaves the rest to you. Cortex AI reasons across your logs and AI decisions together and returns the chain: which service, which change, and what it touched, while the traffic is still there.

Ask in plain language, not a query syntax
Anomalies surfaced against baseline
Root cause with the evidence attached

Built for teams selling to consumers

Wherever a model touches a customer's order, address, or payment details, the same question follows: can you show what it did.

Direct-to-consumer brands

Ship AI shopping and support features without widening your data exposure.

Marketplaces and platforms

Govern the AI touching buyer and seller data on both sides of the transaction.

Retail and omnichannel

Keep payment and personal data out of prompts and logs, with the evidence to prove it.

Know what your AI told your customers

Check every AI call before customer data leaves, find what is already in your logs, and get the cause when checkout slows. See it on your own systems.