Secure Every AI Architecture

Deploy public-facing AI agents without fear of brand damage or jailbreaks.

• Block competitor mentions
• Prevent toxic responses
• Enforce consistent brand tone

contracts:
  - type: tone_check
    strict: true
  - type: topic_blacklist
    topics: ["competitors", "politics"]

Allow employees to query internal knowledge bases while ensuring they only see what they're allowed to.

• Redact PII from retrieved documents
• RBAC-aware response filtering
• Audit trail of every query

contracts:
  - type: pii_redaction
    entities: ["SSN", "SALARY"]
  - type: access_control
    verify_user_context: true

Give agents tools to act, but wrap them in strict permission boundaries.

• Validate function arguments
• Limit API side-effects
• Human-in-the-loop for high-stakes actions

contracts:
  - type: function_guardrail
    allowed_tools: ["read_order", "refund"]
    approval_required: ["refund > $50"]

Automatically route traffic to the cheapest provider that meets your latency SLA.

• Fallback to Azure if OpenAI is down
• Route non-critical tasks to cheaper models
• Enforce global budget caps

routing:
  strategy: "cost-optimized"
  fallback: "most-reliable"
  cost_budget: 0.05 # Max $ per request
  latency_sla: 1000 # Max ms

Treat prompts as code. Enforce strict versioning and contract binding before deployment.

• Immutable prompt versions
• Strict contract binding
• Rollback to previous stable versions

prompt:
  name: "support-triage"
  version: "v1.2.0"
  status: "published"
  contract_binding: "strict"

Enforce advanced quotas across all your users and models to prevent abuse and manage costs.

• Token Bucket bursting support
• Differentiate limits by user tier
• Organization-level quotas

rate_limits:
  free_tier:
    rpm: 10
    burst: 3
  enterprise:
    rpm: 1000
    burst: 50
    daily_spend_limit: $500