🔌 AI Infrastructure Security
AI Security Middleware
The governed replacement for your open-source AI middleware stack — gateway, orchestration guardrails, observability, secrets, and memory — with identity, policy, and an immutable audit trail on every call. Switch one layer at a time.
7
Layers Replaced
17+
LLM Providers
1
Identity · Policy · Audit
0
Rip-and-Replace
The Swap, at a Glance
Your stack today, mapped to the governed RuntimeAI replacement — switch one layer at a time.
| Middleware Category | Common Tools | RuntimeAI Layer to Switch To |
|---|---|---|
| AI gateway / model router | LiteLLM, Portkey, Kong AI Gateway, Cloudflare AI Gateway, OpenRouter, Bifrost | Secure LLM Router |
| Agent orchestration | LangChain, LangGraph, LlamaIndex | Keep it — front it with AI Firewall + PII Shield + Flow Enforcer |
| Observability / tracing | Langfuse, Helicone, LangSmith, Arize Phoenix | Agent Observability + Audit Black Box (tamper-proof) |
| Guardrails / safety | Guardrails AI, NeMo Guardrails, Lakera | AI Firewall (bidirectional DLP, prompt-injection, content policy) |
| MCP / tool routing | LiteLLM MCP, raw MCP servers | MCP Gateway (Bot-CA mTLS, tenant ACLs, audit) |
| LLM key storage | .env files, plaintext config, k8s secrets | QuantumVault / PQ TokenVault (PQC-enveloped, short-lived) |
| Agent memory | Ad-hoc vector stores | Memory Vault (governed writes, injection detection, TTL) |
What It Replaces
Each layer of the typical OSS AI middleware stack, mapped to the governed RuntimeAI product that replaces it — adding identity, policy enforcement, and audit the OSS layer lacks.
Secure LLM Router
Governed passthrough to 17 wired providers + AWS Bedrock, with OPA routing, budget caps, and per-call cost + audit.Replaces: LiteLLM · Portkey · Kong AI Gateway · OpenRouter
MCP Gateway
Registry, scanning, and per-tool policy enforcement for every MCP server and tool call.Replaces: LiteLLM MCP · raw MCP servers
AI Firewall + PII Shield + Flow Enforcer
Keep your orchestration framework — front it. Prompt/response inspection, bidirectional DLP, and PII tokenization before any LLM call, so no raw prompt or PII reaches a provider.Fronts: LangChain · LangGraph · LlamaIndex (keep them, governed)
Agent Observability + Audit Black Box
Per-agent health, latency, cost, and traces, plus a quantum-safe immutable audit trail.Replaces: Langfuse · Helicone · LangSmith
QuantumVault / PQ TokenVault
Post-quantum secrets and tokenization for provider keys and sensitive values.Replaces: .env files · k8s secrets · plaintext config
Memory Vault
Governed, encrypted agent memory with strict tenant isolation.Replaces: ad-hoc vector stores
Kill Switch
One-action revocation of an agent, tool, or provider across the entire platform.Replaces: nothing — no OSS equivalent
Why a suite, not seven tools? The value is in what the layers share — which an assembled OSS stack cannot provide: one identity (every model, tool, and memory call carries a verified agent/tenant identity), one policy engine (the same OPA/Rego policies govern every layer), one immutable audit trail (no stitching LiteLLM logs + LangSmith traces after an incident), and one blast-radius control (Kill Switch revokes across all layers at once).
Adopt One Layer at a Time
You don't rip and replace. Each step is independently valuable and independently adoptable.
01
Start with the gateway
Point your existing LiteLLM / Portkey traffic at the Secure LLM Router — same OpenAI-compatible API. You immediately gain mandatory auth, OPA routing, budget caps, and per-call cost + audit.
02
Add orchestration safety
Route LangChain / LangGraph calls through the AI Firewall + PII Shield so no raw prompt or PII ever reaches a provider.
03
Add observability
Surface Agent Observability + the Audit Black Box; retire Langfuse / LangSmith. Health, latency, cost, traces — with a tamper-evident audit trail.
04
Secure secrets & memory
Move provider keys into QuantumVault / TokenVault and agent memory into Memory Vault — post-quantum, tenant-isolated.
05
Bring tools & incident response under governance
Route MCP tool calls through the MCP Gateway and wire platform-wide Kill Switch for one-action revocation.
Integrations & Compatibility
Drop-in for the providers, frameworks, and tools you already run.
OpenAI
Anthropic
AWS Bedrock
Azure OpenAI
Google Vertex
LangChain
LangGraph
LlamaIndex
MCP
OpenAI-compatible API
Kubernetes
OpenTelemetry
Why the OSS Stack Is a Liability
The convenience layers that hold your provider keys have quietly become the soft underbelly of the enterprise AI stack.
LiteLLM — CVSS 10.0, CISA KEV
CVE-2026-42271 (command injection) chained with CVE-2026-48710 (host-header auth bypass) yields unauthenticated RCE on the proxy host — harvesting every provider key it holds. CISA KEV-listed June 2026, actively exploited.
LangChain "LangGrinch" — CVSS 9.3
CVE-2025-68664: serialization injection turns a poisoned model response into remote code execution. In an agentic system, model output is untrusted input — any layer that deserializes it as trusted is one prompt-injection away from RCE.
Langfuse — coupled blast radius
CVE-2025-0330: a gateway error path leaks Langfuse API keys. When observability, orchestration, and the gateway share trust, a breach anywhere is a breach everywhere.
"When the gateway is breached, everything behind it is breached." An unauthenticated, secret-holding, command-spawning proxy at the center of your AI stack is structurally dangerous. RuntimeAI binds identity to every call, gates every route through policy (OPA/Rego) before execution, and writes a Merkle-chained, tamper-proof audit trail — so a poisoned response or a single compromised layer can't cascade across the stack.
Replace your AI middleware stack — without the rip-and-replace.
One identity, one policy engine, one audit trail across every layer. Start with the gateway and switch the rest at your pace.