Runtime governance
Tools that enforce policy at the moment an LLM or agent makes a call: PII redaction, injection blocking, tool-call validation, audit logging.
| Tool | License | Deploy model | Stack | Regulatory focus | Best when |
|---|---|---|---|---|---|
| Admina | Apache 2.0 | SDK + transparent proxy (in-process) | Python (+ optional Rust engine) | EU AI Act native (timeline + OISG) | Python apps needing EU compliance, lightweight footprint |
| Cordum | BUSL-1.1 | Control plane (7 services + NATS + Redis) | Go (+ React dashboard) | Generic enterprise risk | Large agent fleets with K8s/SRE capacity |
| Guardrails AI | Apache 2.0 | SDK | Python | Generic | Output validation only, no policy/audit needed |
| NVIDIA NeMo Guardrails | Apache 2.0 | SDK | Python (+ Colang DSL) | Generic | Conversational chatbots with topic rails |
| Lakera Guard | Commercial / SaaS | Hosted API | Any (HTTP client) | Generic | Zero-infra prompt-injection / PII detection |
| Portkey AI Gateway | MIT | Gateway/proxy | Node.js | Generic | Multi-provider LLM routing primary, guardrails secondary |
| LLM Guard | MIT | SDK | Python | Generic | Lightweight input/output scanner, no orchestration |
Distributed agent control plane in Go. 7 microservices (API gateway, scheduler, safety kernel, workflow engine, context engine, NATS, TLS-secured Redis).
- Orchestrating large fleets of heterogeneous agents across multiple pools
- Enterprises with existing K8s + SRE capacity and a need for a separate control plane
- Teams that want to adopt their CAP protocol alongside MCP
- Apache 2.0 vs Cordum's BUSL-1.1 (BUSL prevents managed-service redistribution)
- pip install admina-framework[proxy] vs Docker Compose with 7 services
- EU AI Act timeline + OISG scoring shipped in the framework; Cordum is regulation-agnostic
Python framework for adding validators (PII, toxicity, JSON schema, etc.) around LLM I/O. Defines validators via the RAIL spec.
- Output-validation-only use cases (force LLM responses to match a schema)
- Declarative RAIL spec for chaining validators
- Admina governs input, agent tool calls, and data residency — not just LLM output
- Admina ships an audit trail, dashboard, and compliance kit; Guardrails is just the validator
- Admina enforces EU AI Act risk classification; Guardrails has no regulatory layer
Python toolkit with the Colang DSL to add programmable rails (topical, safety, jailbreak) to LLM apps.
- Conversational chatbots where rails are mostly 'stay on topic / refuse off-policy questions'
- Teams already in the NVIDIA AI stack
- Admina targets agentic + RAG governance, not just chatbot rails
- Admina is regulation-aware; NeMo is generic safety/topic
- No Colang DSL to learn — Admina configuration is YAML + Python
Commercial SaaS API for prompt injection and PII detection. Closed source.
- Zero infrastructure: one HTTPS call from any language
- Continuously updated detection models maintained by Lakera
- Admina is open source and self-hosted: no per-call pricing and prompts never leave your infrastructure
- Admina covers governance beyond detection: policy engine, audit, EU AI Act mapping
- Required when data sovereignty forbids sending prompts to a third party
Open source LLM gateway (Node.js) primarily for multi-provider routing, fallbacks, and observability. Guardrails are a plug-in layer.
- Multi-provider LLM routing (OpenAI ↔ Anthropic ↔ local) with caching and retries
- Already part of an existing Node.js stack
- Admina is governance-first, not routing-first
- Python-native vs Node.js
- EU AI Act + 4-domain governance model out of the box; Portkey guardrails are bring-your-own
Open source (Protect AI) Python scanner for input/output checks: prompt injection, PII, toxicity, secrets.
- Lightweight scanner you embed before/after an LLM call
- Big catalogue of out-of-the-box scanners
- Admina includes scanners and policy engine, audit, dashboard, compliance
- Admina governs agent tool calls and data ingestion, not just LLM I/O
- EU AI Act mapping is integrated, not external
Compliance & standards
Tools and frameworks focused on assessment, evidence, and control mapping — not on enforcing rules at runtime. Often complementary to Tier A.
| Tool | License | Type | Focus | Best when |
|---|---|---|---|---|
| Admina | Apache 2.0 | Runtime + assessment | EU AI Act + 4 governance domains + OISG | Want runtime enforcement and compliance evidence in one stack |
| VerifyWise | AGPL-3.0 | Assessment platform (no runtime) | EU AI Act conformity workflow | Pure conformity assessment with workflow + audit reports |
| Credo AI | Commercial | Governance platform | Multi-framework risk management | Large enterprise risk/legal team with budget |
| FINOS AIR | Apache 2.0 | Control framework (not a product) | Financial services AI controls | Adopting a standardised, industry-curated control taxonomy for financial-services AI |
Open source EU AI Act conformity assessment platform.
- Workflow-driven gap analysis with multi-user review and audit export
- Admina enforces at runtime (PII redaction, injection blocking, audit chain) in addition to shipping a compliance kit; VerifyWise stops at assessment
Commercial governance platform spanning policy, risk, and assurance across multiple AI/data frameworks.
- Enterprise risk teams mapping NIST AI RMF, ISO 42001, EU AI Act under one roof
- Open source, developer-first, embedded in the application — not a standalone GRC tool
A control framework (not a product) for financial-services AI governance, published by FINOS.
- Mapping AI systems to a standardised, industry-curated control set
- Different category: AIR is a standard, Admina is an implementation. They are complementary — Admina can be evaluated against AIR controls
When NOT to choose Admina
Admina is built for one shape of problem. If your situation looks like one of these, another tool will serve you better:
- Need a distributed agent control plane for hundreds of agent pools? → Cordum
- Want a hosted API with zero infrastructure? → Lakera Guard
- Building primarily on .NET / Java / Go? → Cordum (Go) or Lakera (any HTTP client)
- Need a generic policy engine for non-AI workloads too? → OpenPolicyAgent
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