Runtime visibility
Observe every model call with complete trace evidence including prompts, outputs, latency, and cost metrics.
Learn more ->Production AI control layer
Guardrails for production AI
Observe every model call, catch risky behavior early, and track provider changes before they hit production.
Observeruntime traces
Detectrisky drift
Containincident spread
Execution stream
agent-route / support-prodruntime.request.completed
Tool-assisted run completed under policy profile support-default.
$0.0214guardrail.permission.denied
Customer export tool blocked outside reviewer boundary.
role policyruntime.failover.rerouted
Provider degraded. Traffic rerouted to approved fallback without SLA breach.
99.95%Policy and boundaries
permissions + fallback ruleswhat changedPermission model tightened for agent workflow
- export_customer_data allowed for support role+ export_customer_data restricted to reviewer role
permissioning tightened2 routes require role remap
system note
Primary provider outage detected. Approved Bedrock fallback kept route online.
Guardrail enforcement
Enforce safety, compliance, and reliability policies with automated detection and containment workflows.
Learn more ->Provider monitoring
Monitor vendor pricing, status, and release changes that could impact production AI systems.
Learn more ->Resilience automation
Automatically reroute traffic to approved fallback endpoints when primary providers degrade or fail.
Learn more ->Capture runtime events, tool calls, and provider signals in one trace context.
Apply policy and role boundaries before sensitive actions can execute.
Trigger fallback and containment workflows when SLA risk appears.
Feed incident evidence back into policy packs and route configuration.
Operating model
AI systems need DevOps discipline to stay reliable.
Build with guardrails, permissioning, and automation from day one so agentic workflows can scale without hidden reliability debt.
AI Operations Control
Operate production AI systems with measurable reliability targets, policy enforcement, and automated resilience.
Open page ->Agentic Operations
Manage complex agent workflows with policy governance, permission boundaries, and comprehensive audit trails.
Open page ->Security Model
Enforce role-based access control, policy compliance, and maintain complete incident evidence for governance requirements.
Open page ->How it works
Policy and permissioning keep agent workflows safe.
Cyiro correlates execution steps, role boundaries, and provider health so teams can contain risk quickly and keep production routes online.
Failover timelineroute: support-chat-prod
Policy gate triggered
Agent attempted restricted tool action outside reviewer boundary.
Provider degradation correlated
Latency and error-rate drift crossed the route SLA threshold.
Fallback route approved and activated
Traffic moved to allowed endpoint set with existing permission profile.
Service stabilized
Availability restored while cost and latency remained in tolerance.
latency: correctedcost drift: +3.2%availability: 99.95%
Use cases
Operator decisions, not passive dashboards.
Trust through detail
Evidence that helps operators decide in minutes.
Every incident view keeps raw timeline rows, policy hits, and vendor diff context together so teams can verify impact before rollout or rollback.
runtime.policy.hit
Prompt safety threshold crossed on support route.policy pack / blocked output
watcher.diff.detected
Vendor pricing text changed for active model tier.pricing page / cost-impacting
incident.correlated
Runtime spike and pricing drift linked to one incident.2 routes / on-call notified
what changedRate-limit note moved from 6k RPM to 4k RPM
- Default limit: 6,000 requests / minute+ Default limit: 4,000 requests / minute
classification reliability-impactingfallback route recommended
Observe. Detect. Contain.