LogRiteLogRite

Govern the AI making financial decisions

Models now approve, decline, and advise across your business, and leave nothing behind when they do. LogRite checks every AI call against your rules in real time, auto-detects PII before it leaves, and keeps the record that explains what happened.

AI WardenAI agent decision
underwriting-agentAI Wardenopenai · gpt-4o
POST /v1/chat decline application 8842, thin file, DTI 0.61
NOTIFY

Credit decision recorded with its inputs

decision + rationale written to the audit trail
Every AI call inspected, judged, and recordedallow · notify · block

Control and audit evidence aligned to

PCI DSSSOC 2GDPR

Every AI call

Governed in real time by AI Warden

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

Where fintech loses the thread

The exposure sits in the decisions your models make, the data staff feed into tools nobody approved, and the trail that has to hold up afterwards.

Agents deciding alone

AI is making the call, with no record

Underwriting assists, fraud triage, collections chat, servicing bots. The model approves, declines, or advises, and the reasoning disappears the moment the response returns. When a regulator or a customer asks why, reconstruction from memory is not an answer.

Every AI decision captured
Inputs and verdict kept together
An answer to "why" months later

Shadow AI

The forecast went into a public tool

Someone pastes the cap table, the model file, or a customer list into whatever AI tool is open. A browser block only covers devices you manage, and all it leaves behind is the word "blocked." LogRite routes the request through the relay instead, reads the context, and keeps what was actually sent.

Requests routed, not just blocked
Context read before the verdict
The prompt, the rule, and the sender on record

Exposure and lineage

Something leaked. Now prove what

Credentials, account details, and financial data end up in prompts and in plaintext logs. The hard part of the incident is never the alert, it is showing exactly what left, when, and through whom. LogRite auto-detects PII before the line is written, and Collector Agents recheck the logs you already wrote, so exposure from last quarter surfaces now rather than during an audit.

PII auto-detected before write
Logs you already wrote, rechecked
A trail that survives the post-mortem

AI Warden

Not a browser block. A control point.

A browser extension can stop a paste. It only works on devices you control, and all it leaves behind is the word “blocked.” The question a regulator asks is not whether you blocked something. It is what was sent. AI Warden sits in front of your model providers as a drop-in relay: every request is scored against your business rules, scanned for sensitive data, judged, and then allowed, flagged, or stopped. The decision and the payload are kept either way.

Business rules and an LLM judge on every request
Allow, notify, or block on your terms
Redacted prompt preview, so you can review without re-exposing
The rule that fired, the verdict, and who sent it

Cortex AI

A block is not an answer

Stopping the request is the easy half. The hard half is the morning after: which agent, which prompt, which change, and what else did it touch. Because the verdicts and the runtime trail live in the same place, Cortex AI runs agentic root-cause analysis across them and returns the chain rather than a keyword match.

Ask in plain language, not a query syntax
Reasoning across AI decisions and application logs together
Root cause with the evidence attached
Example investigation
Why did the underwriting agent start declining more applications today?
Checking decision logs for the underwriting service…
Found a shift in decline rate at 09:15. Checking what changed around it…

Here's what I found:

  • decline rate 3x higher than the trailing week
  • 418 applications affected since 09:15
  • a stale bureau response returned null scores, read as thin file
  • every decision recorded with the inputs it used

Governance and observability, not DLP

Data loss prevention stops data at the door. AI security flags the risky prompt. Both leave you with an event and no explanation. LogRite governs the call at runtime and keeps the record you need afterwards.

Data loss prevention
AI security tooling
LogRite
What it does at the moment of risk
Stops the data leaving
Flags the risky prompt
Checks the request inline and keeps the full record
What you have afterwards
A blocked event
An alert
The prompt, the rule that fired, the verdict, and the sender
Coverage of your own code
Out of scope
Out of scope
Measured at the code level and enforced before merge
When something breaks
Search the alert history
Search the alert history
Cortex AI runs agentic root-cause analysis across the trail

Know what your AI decided, and why

Govern every AI call in real time, auto-detect PII before it leaves, and keep a trail that holds up. See it on your own systems.