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
Need the full security overview?
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
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.
Yes. Global Guardrails create a workspace-wide baseline, and per-agent guardrails can add stricter rules.
Yes. Guardrails includes a built-in test that shows original vs post-guardrail responses and which rule triggered.
Use Audit Log to track high-severity events and export for security/compliance review.
Enjo services are hosted on AWS and Azure infrastructure.
