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Use case · Security & Compliance

Prove control over every request without slowing the business down.

Put guardrails, identity, and data rules in the path of every model call, and capture an audit trail by default. Show exactly who used what, when, and under which policy. Govern AI instead of blocking it.

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Guardrails: monitor and enforce across the workspace
The problem

AI moved faster than your controls.

Teams adopted models and agents through personal keys and SaaS tools before security ever saw a request, leaving you to govern something you can't see.

Invisible usage

Models reach production through personal keys and unmanaged tools. You can't secure, support, or attest to traffic you never observed.

No evidence trail

When an auditor or customer asks who accessed what, the answer lives in scattered provider logs, or nowhere at all.

Policy by PDF

Data-handling and model rules sit in a doc nobody enforces at runtime. Stated policy and real behavior quietly drift apart.

Why it matters now

AI is now in scope for every framework you answer to.

From SOC 2 and ISO to HIPAA, model usage is now a control you have to evidence, not an exception you can footnote.

Prompts carry PII, secrets, and source code. Each uncontrolled call is a potential exfiltration route you can't currently close.

When an ungoverned model leaks or hallucinates into production, security and compliance own the exposure, whoever shipped it.

The solution

Controls in the path, evidence by default.

Route every model call through one governed plane where guardrails run inline, access maps to your org, and an immutable record is written for every request.

Guardrails on every call

PII and secrets masking runs inline on every prompt before it reaches a model, and on every response on its way back. Tool-call controls stop an injected prompt from moving data out through a tool. Every detection and blocked tool call is logged, never silently dropped.

  • PII and secrets masking
  • MCP tool allowlists, URL filtering, and result scanning
  • Every guardrail action logged with its configuration
Guardrails: monitor and enforce across the workspace

Policy that maps to your org

Sign-in runs through your SSO identity provider (SAML), and teams can be imported from its directory groups. Per-team and per-model data rules are enforced live on every request, not described in a document.

  • SSO through your identity provider (SAML)
  • Per-team, per-model data rules
  • Policy enforced live, not by doc
Approvals queue: pending team, deployment, and budget requests

An audit log you can hand to auditors

Every request is captured immutably. Who, what, when, and under which policy. Exportable as structured CSV or JSON you can hand to your SOC 2, ISO, or HIPAA evidence process.

  • Every request captured immutably
  • Who, what, when, which policy
  • Export for SOC 2, ISO, and other common compliance needs
Audit logs: every action with actor, status, and flags
The platform, mapped to your mandate

One control plane carries the evidence for you.

Each part of Actualyze turns a security or compliance requirement into something enforced and recorded automatically, so governing AI doesn't mean standing in the way.

Govern

Policy defined once

Set access and data rules a single time; they apply to every team and model without a manual review per request.

Explore Govern
Secure

Guardrails in the path

Data masking and tool-call controls run inline on every call; the control is the request path itself.

Explore Secure
Operate

Controlled deployments

Only approved models reach production, and each stage, deploy, and approval is recorded, so you always know exactly what is serving.

Explore Operate
Optimize

Reliability you can attest to

Routing, failover, and observability keep behavior in spec, so availability claims hold up under scrutiny.

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Integrate

One controlled surface

Every model and connector flows through a single governed endpoint, with no ungoverned side doors to defend.

Explore Integrate
FAQ

Questions from security teams.

How does Actualyze help with SOC 2, ISO, or other regulatory needs?
Every request is logged immutably with the policy that governed it. Export the trail as CSV or JSON, or stream it live to your SIEM through Data Forwarding. Model usage becomes an auditable control you can demonstrate rather than an exception you have to explain.
Can it stop PII or secrets from leaving in a prompt?
Yes. Masking runs inline before a request reaches a provider, and a secret passed as a tool argument is caught before the tool runs. Each detection is recorded with the guardrail configuration in force at the time, so the control is enforced, not just recommended.
Does it use our existing identity provider?
Yes. Sign-in connects to your SSO identity provider (SAML), and teams can be imported from its directory groups. Permissions follow your org structure instead of a parallel one you'd have to maintain and reconcile.
How do we surface and shut down shadow AI?
Once calls route through Actualyze, usage outside it stands out. Teams move onto the governed path, and ungoverned keys and tools lose their reason to exist.
What does the audit trail actually capture?
Who made the call, which model and route, when the policy applied, and the outcome, including guardrail detections and blocked tool calls. It never holds prompt or response content. It's immutable and exportable for auditors and incident review.
Does adding controls slow developers down?
No. Guardrails and policy run in the request path teams already use, so security is applied automatically instead of through a separate review lap before every launch.

Govern AI. Don't block it.

Stand up the controls and the evidence trail your frameworks require, without becoming the team that says no.

Start 30-day free trialBook a demo