Platform  /  Server & API AI Monitoring
Server & API AI Monitoring

AI risk isn't only in the browser. Watch the backend too.

Inspect AI usage from servers, backend services, workflows, and API integrations — the AI traffic employee-focused tools never see — with the same content inspection, evidence, and incident workflow.

Back to platform
Backend service
calls an AI model / API
Purogaly inspects · both directions
Decision + evidence
allow · mask · block · escalate
Beyond the browser

The AI usage other tools miss

Most AI security watches employees in a browser. But servers, jobs, and integrations call AI too — often with the most sensitive data. Purogaly inspects that backend traffic, at scale.

  • Backend services, workflows, and jobs
  • Direct AI model and API integrations
  • Built for fleet-scale server estates
server AI traffic
billing-service → model API
prompt + response
ALLOW
etl-job → summarization
customer PII in payload
MASK
integration → external AI
financial data detected
ESCALATE
Service actor model

Know which service did what

Backend AI activity is attributed to the calling service, not an anonymous request — so every inspection and decision is tied to a known actor in the evidence record.

  • Service identity on every backend interaction
  • Both prompt and response inspected
  • Tied to the same evidence chain
incident + evidence
Sensitive response detected
actor: etl-job
INCIDENT
Remediation triggered
auto · contained
CONTAIN
Evidence written
service · hash-chained
VERIFIED
One picture, everywhere AI runs

Browser, server, and agent — one evidence chain.

Backend AI activity lands in the same tamper-evident record as employee and agent activity — so the security and audit picture is complete, not split across blind spots.

See the evidence layer →

Close the backend blind spot.

See how Purogaly inspects AI usage across your servers, services, and integrations.

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