Pass the security review that decides the deal
Your buyers now ask what your product does with their data once a model is involved. LogRite governs every AI call your software makes, keeps tenant data where it belongs, and turns log coverage into evidence instead of an assurance.
Control and audit evidence aligned to
Every AI call
Governed before tenant data leaves
7% → 100%
Log coverage, measured and closed
30–40%
Faster root-cause analysis with Cortex AI
Before merge
Compliance findings caught in CI/CD
What the review actually asks about
Shipping fast was never the hard part. The hard part is answering for the AI inside your product, the tenant boundaries it crosses, and the evidence you can produce on the day someone asks.
The AI you shipped last sprint
Your product now calls a model on a customer's data
The in-app assistant, the support copilot, the summarizer someone added on a Friday. Each one sends customer data to a provider, and none of them are in your threat model yet. AI Warden sits in front of those calls, checks each one against your rules, and keeps the record of what was sent.
Multi-tenancy
One tenant's data surfacing in another's answer
Shared vector stores, shared prompts, shared caches. The failure is quiet, it looks like a good answer, and you find out when a customer does. LogRite governs the call at runtime and records which tenant's data went where.
The security questionnaire
Prove it, do not attest to it
Enterprise buyers stopped accepting a filled-in spreadsheet. They want evidence: what you log, how much of it, and who reviewed the AI touching their data. LogRite measures coverage per service and generates the artifact instead of a claim.
Coverage and Gatekeeper
Coverage that does not decay as you ship
Coverage is not a one-time cleanup. It erodes with every service someone adds on a deadline. LogRite measures it as a number, writes the logging that is missing at the code level, and Gatekeeper blocks the merge when a push would take the number backwards.
Log coverage
100%
after Autofix PR
AI Warden
The model in your product is your responsibility
Your customer signed a contract with you, not with your model provider. When your assistant reads their data to answer a question, you own what happens next. 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.
SOC 2
Security controls
GDPR
Data subject rights
Evidence, not attestation
Answer the questionnaire with a number
“We log comprehensively” is what every vendor writes, and every reviewer discounts. LogRite measures what share of your code is actually logged, scans it against the frameworks your buyers ask about, and shows the gaps behind the number, so the answer you give is a measurement rather than a claim.
Cortex AI
One customer is affected. Which one, and why
A multi-tenant incident is a scoping problem before it is a fix. Cortex AI reasons across your logs and your AI decisions together and returns the chain: which tenant, which service, which change, and what else it touched.
Here's what I found:
- •214 failed report builds in the last hour
- •1 tenant affected, the rest are unaffected
- •12s query time on their largest workspace (normal 0.4s)
- •the 14:20 deploy introduced the unindexed filter
Built for platforms selling upmarket
Wherever your product handles a customer's data, the same question follows the deal: can you show what happened to it.
Early-stage platforms
Get to your first enterprise deal without a six-week evidence scramble.
Scaling multi-tenant SaaS
Keep coverage from decaying as services and teams multiply.
AI-native products
Show customers how the model touching their data is governed.
Walk into the review with evidence
Govern the AI inside your product, keep tenant data where it belongs, and show coverage as a number. See it on your own systems.