Powering critical capabilities for IT-managed GenAI workloads
Consistent Production Stability
Apply routing, rate limits, and fallback controls so AI never violates existing SLOs/SLIs or impacts upstream services
Security And ITGC Compliance
Direct all AI access through the AI Gateway with RBAC, egress restrictions, and audit logging, eliminating unauthorized model usage
Unified Observability
Feed latency, error rates, and token usage into Datadog / New Relic so IT Ops can monitor and govern GenAI traffic
Unified platform for governing GenAI across production systems
Unified AI Gateway for centralized production governance
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- Route all LLM traffic through AI Gateway / LLM Gateway with RBAC, identity mapping (Okta/Azure AD), and egress controls
- Run models inside VPCs or data centers using on-prem AI Gateway or on-prem AI Platform to prevent uncontrolled data movement
Guardrails to protect production stability
- Apply quotas, rate limits, and approval gates per app or microservice
- Maintain version pinning and rollback flows so GenAI changes never bypass change-management
MCP Gateway for secure automation inside IT systems
- Provide tightly-scoped agent actions on ServiceNow, Jira Service Management, and alerting tools through MCP Gateway / Agent Gateway
- Restrict agent permissions through a managed MCP registry with command-level authorization
Fully governed, auditable, and ITOps-owned agents you can deploy on TrueFoundry
Incident triage agent
On-call agent
Access provisioning agent
Change-request validation agent
Ticket summarization agent
I would really like to stand on the shoulder of TrueFoundry and say that our time-to-market has really improved as a company in general and GDC as a service provider because we are able to scale up our applications very fast
GenAI infra- simple, faster, cheaper
Trusted by Top ITOps Teams to Scale GenAI
