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Product · Governance

Stop personal data before it reaches the model,
and keep before/after values for setting changes

Block Korean resident registration numbers before they reach a model, record who changed which setting, with before/after values, and set which models and token limits each department can use. Calls from developer tools like Claude Code and Codex are controlled under the same policy.

Block, remove, or mask personal data PII
Before/after values for setting changes AUDIT
Models and token limits per department QUOTA
GUARDRAIL
Guardrail log, expanded

Three requirements: personal data, audit, and per-department limits

Employees paste in personal information

It's detected at the input stage and blocked, deleted, or masked per policy.

During an audit, you can't answer "who changed what, and when"

Setting changes are logged with before/after values and IP.

Every department has different requirements

Set functions, resources, models, and token limits separately at the Organization → Department → Group level.

Letting people use it while keeping control

Guardrails

  • 12 PII detection types — 6 general: Email · Credit card number · IP address · MAC address · URL · API key / 6 Korea-specific: Korean resident registration number · Alien registration number · Phone number · Bank account number · Passport number · Driver's license number
  • 5 handling strategies: block (stop the request outright) · delete (replace with a [REDACTED_…] label) · mask (hide part of the value) · hash (track matching values without keeping the original) · log only (record without modifying)​.
  • Banned words · regex: Register sensitive terms specific to your organization directly.
  • LLM judge: Content that's hard to catch with rules is judged by a review model.
  • Scope: per-agent policies, organization-level policies, and global policies applied to every conversation.
  • File guardrails: The same policies also apply to the content of uploaded files.
  • Logs: Records who, when, what, and how it was handled, with a direct jump from the log entry to that trace.

Audit logs and activity history

  • Audit log: Records changes across 19 resource types — agents, the Knowledge Base, databases, guardrails, the glossary, prompts, tools, skills, users, organizations, groups, authentication, admin settings, embed widgets, and more — with before/after values, IP, and browser information. User role changes are recorded too.
  • Workspace activity history: Even non-admins can check before/after change history for Knowledge Base · Agents · Databases · Guardrails · Glossary · Skills from the "Activity history" panel on each screen. This includes files added, deleted, or moved; sharing-scope changes; and agent configuration changes.

Permissions

  • Organization → Department → Group — a 3-level permission hierarchy. Automatically syncs the org chart from Microsoft Entra ID or Google Workspace.
  • Two-layer access control: access requires both menu/function-level permission and sharing permission on the individual resource — an agent, a Knowledge Base, and so on.
  • 4 levels: None · Access · Read · Write.
  • Resources share read/write access at the user, group, or department level — the same model covers tags, tools, the glossary, and scheduled tasks.

Model management and token limits

  • Only organization-approved models appear in the list, with access set per user, group, or organization.
  • Each model has a daily token limit, with exceptions settable per user, group, or organization. Once the limit is hit, chat stops with a notice, and the limit resets daily.
  • The model screen shows which agents, flows, and evaluations use that model.

Code Gateway

  • Routes model calls from developer tools like Claude Code · Codex · Gemini CLI · Cursor through Cloosphere so they're controlled and logged in one place.
  • Guardrails can also apply to input and tool results. A blocked request shows the reason and request ID, and one block doesn't stop the whole session.

Encryption · secrets management

  • Secrets like DB connection info, tool connection keys, and user API keys are protected with Azure Key Vault envelope encryption (AES-256-GCM data encryption + RSA-OAEP-256 key wrapping)​. The master key never leaves Key Vault.
  • Keys can be separated by classification, such as personal and financial information, so revoking one key doesn't affect other secrets.
  • Changing a key version triggers automatic re-encryption, and every encryption operation is logged in a tamper-evident hash chain.
  • DB connection passwords and similar values are masked wherever they appear in the settings screen.

Log retention

  • Set a retention period per record type — usage, audit logs, guardrail logs, traces, trace diagnostics, and automatic quality evaluation records — and they're cleaned up automatically at a scheduled time each day.
  • Check record counts and storage size by record type from the admin screen.

Guardrail and Code Gateway screens

Example product screen · Guardrails 0:09

A reply containing a phone number is masked, and the log below fills with detection types and outcomes.

Choose what to detect, how to handle it, and where it applies (input or output)​, and test it against a sample right before saving.
A record of who changed which setting, from what to what.
Set allowed models, rate limits, and blocked file patterns and repositories; developers connect their coding tools with the commands in the guide.

Licensing

Audit logs and guardrails are included from the Standard tier; global guardrails, file guardrails, Code Gateway, and encryption (KMS) are included in the Enterprise tier. Workspace activity history is included alongside audit logs from the Standard tier, and permissions, model-access management, and per-model token limits are available on every tier. → Pricing · licensing

Related updates

1.7.0 2026-11

Guardrails Prompt attack detection guardrail

1.7.0 2026-11

Permissions Permissions re-checked on every run

1.6.0 2026-10

Guardrails Six Korean PII types detected by default, masked the Korean way

All release notes →

See your security and audit requirements configured in the product

We set up a demo environment based on your deployment method, integration scope, and governance requirements.