Safe, responsible
agentic AI,
built to be governed

Enjo helps enterprise teams deploy autonomous AI agents that resolve requests end-to-end
without compromising security, privacy, or compliance.

Guardrails: Enjo’s AI policy enforcement layer

Guardrails is the control plane that enforces your organization’s AI boundaries across inputs and outputs, so AI stays safe, compliant, and predictable.

What Guardrails protects against

  • Accidental exposure of confidential or regulated information
  • Restricted topics or prohibited guidance reaching end users
  • Harmful, offensive, or policy-violating content
  • Malicious or unsafe interactions in prompts and responses

How Guardrails is structured (built for enterprise)

Global Guardrails (workspace-wide)

  • Set by admins
  • Enforced across all agents
  • Designed as the non-negotiable baseline

Agent Guardrails (per agent)
  • Agent admins can add stricter rules for a specific agent
  • Global rules remain in force (agent guardrails add on top)
  • Revert-to-global option for safe resets

What you can configure

  • Content filters: block predefined categories in input/output
  • Denied topics: define restricted topics with descriptions + examples
  • Denied words/phrases: block exact terms or patterns using regex

Test before you ship

Every guardrail update can be tested immediately:

  • See the original AI response
  • See the final response after guardrails
  • Inspect which rule triggered and why

Platform Security

Enjo is built by Troopr Labs, with an enterprise security program designed for regulated environments.

Need the full security overview?
View Security & Compliance
Compliance posture & assurance
  • Annual SOC 2 Type II audit coverage
  • GDPR-ready processes with SCC support
  • PCI: SAQ (A-EP) + monthly external scans
Encryption & key management
  • TLS 1.2 for in-transit encryption
  • AES-256 at rest for data + backups
  • AWS KMS keys; annual rotation policy
Tenant isolation & access controls
  • Unique tenant token prevents cross-access
  • Roles aligned to least-privilege access
  • Restricted access to production systems
Secure operations & incident readiness
  • Vendor reviews + DPAs for key providers
  • Regular scanning, patching, and pen tests
  • IR drills; 24-hr notice post-confirmation

Frequently asked questions

If you have further questions, simply request a demo from our team, and we'll respond promptly.
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Do you train models on our data?

No. Prompts, completions, embeddings, and training data are designed to remain private and are not used to improve models or services beyond your Azure resource fine-tuned models.

Can we enforce a global AI policy across every agent?

Yes. Global Guardrails create a workspace-wide baseline, and per-agent guardrails can add stricter rules.

Can we test safety policies before enabling them?

Yes. Guardrails includes a built-in test that shows original vs post-guardrail responses and which rule triggered.

How do we audit changes to AI configuration?

Use Audit Log to track high-severity events and export for security/compliance review.

Where is Enjo hosted?

Enjo services are hosted on AWS and Azure infrastructure.

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