AI Use Cases · Security & Governance
Your teams are already running AI on regulated data — often through tools security never approved. OptScale AI gives you one place to discover that usage, redact sensitive data before it leaves your perimeter, log every interaction, and enforce policy. Governance that channels AI, instead of banning it.
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Why this is hard
Banning AI doesn't remove the risk — it moves it off your logs and onto personal accounts. The teams that stay in control get visibility first, then govern from a single point.
Staff and apps call whichever model is easiest, through providers no one reviewed. Security has no inventory of what's in use.
PII, source code, and customer records get pasted into public models. Traditional DLP rarely sees a prompt, so it never fires.
When a regulator or examiner asks what your AI did with which data, there's no defensible, per-interaction record to hand over.
Autonomous agents inherit permissions and quietly connect to MCP servers and vector stores no one signed off on.
An acceptable-use policy nobody can enforce at runtime isn't a control. Rules need to apply to every call, automatically.
CASB, DSPM, and identity tooling each see a fragment. None of them give you one governed view of AI traffic.
The approach
Route every prompt, model call, and agent through one gateway. The moment AI traffic passes a single governed point, shadow usage becomes visible, sensitive data gets caught, and every interaction lands on the record.
The controls
Six governance controls, applied to every model and agent from the same gateway — so coverage doesn't depend on which team, tool, or provider is involved.
See every model, provider, and prompt in use across the org. Turn unknown AI traffic into a live inventory you can act on, instead of a periodic audit that's stale the day it ships.
Sensitive data is redacted before it ever leaves your perimeter. Detection built for prompts, not files, so account numbers, secrets, and personal data don't reach an external model.
Every prompt, model, version, and response, on the record. A tamper-evident trail you build before the auditor asks, not after — reproducible for any interaction.
Approved-models-only, deny-by-default, per-team and per-workflow rules. Your policy applies to every call automatically, rather than living in a document no runtime reads.
OptScale AI doesn't run your agents — it governs them. Block unauthorized MCP servers and vector stores, set cost, time, and recursion limits, and catch loops and drift live.
SaaS or on-premises, on an open-source core. Keep sensitive prompts inside your network and route only approved traffic outward — with no vendor lock-in on the control layer.
Map governed AI traffic to the framework you already report against, and produce evidence on demand instead of reconstructing it under pressure. The controls are the same whether it's your thousandth query or your first.
Read the whitepaper: Governing the Agents You Didn't Build →
EU AI Act
NIST AI RMF
ISO/IEC 42001
SOC 2
GDPR
HIPAA
See OptScale AI discover shadow AI, redact sensitive data, log every interaction, and enforce your policy — on your own traffic, SaaS or on-prem.
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