Kosmoy vs ModelOp: AI Governance, Cost and Agent Control Compared (2026)
ModelOp Center is a governance system of record with model-risk-management roots: one auditable inventory, automated lifecycle controls and regulator-grade reporting across hundreds of heterogeneous models, vendor AI included. Kosmoy is a runtime control plane: gateway, traces, containment, evals. They govern different layers — and some enterprises need both.
ModelOp and Kosmoy both call themselves AI governance, and both mean it — about different layers. ModelOp Center grew out of model risk management: banks and insurers running SR 11-7 programs across hundreds of heterogeneous models needed one system of record for inventory, lifecycle controls, monitoring and audit evidence, extended over time to GenAI, agentic and vendor-embedded AI. It is a decision layer by design: when enforcement is needed, it pushes policy decisions to API gateways such as Kong rather than proxying traffic itself. Kosmoy is built the other way around — a runtime control plane of four layers: registries for the inventory, an OpenAI-compatible gateway in the request path of every LLM, MCP and agent-to-agent call, Action Capsule containment for the agents that act, and compliance evidence generated from registry state plus gateway logs.
The analyst record, stated plainly: ModelOp was named a Visionary in the inaugural Gartner Magic Quadrant for AI Governance Platforms, published June 2026. Kosmoy was not included in that Magic Quadrant. This page compares the two on public product evidence — documentation and press releases, cited throughout; it does not place Kosmoy on Gartner's quadrant and does not reproduce Gartner's evaluation.
Who each product is for
ModelOp
ModelOp speaks to CROs, heads of model risk and AI governance offices at regulated large enterprises — banking, insurance, healthcare. Its unit of work is the governed model or use case: inventoried whether it is open-source, cloud, proprietary, vendor or embedded AI, classified by LLM use case, monitored in production for sentiment, PII/PHI and cross-LLM performance (AI governance software), and carried through lifecycle controls mapped to internal policy and external frameworks — EU AI Act, NIST AI RMF, ISO 42001, OCC SR 11-7, HIPAA, GDPR (controls). The output is what a regulator asks for: model cards, validation summaries, audit trails, an AI Governance Score, and value reporting through the Enterprise AI Command Center (reporting).
It deploys like the enterprise software it is: on-premises, in the customer's cloud, or as a private SaaS installed in the customer's network and managed by ModelOp — explicitly not a public SaaS. Pricing is by quote, consumption-priced by models under management. For runtime enforcement it partners rather than proxies: the July 2026 Kong integration pushes ModelOp policy decisions to Kong API Gateway so endpoints are exposed or blocked as governance status changes (Kong partnership).
Kosmoy
Kosmoy speaks to the teams that own the AI runtime: CTOs, CISOs and platform engineering in regulated industries. Every AI system lives in four registries with an owner and a risk tier — including a master agent registry whose connectors pull agents from Azure AI Foundry, Bedrock, Vertex, Salesforce and ServiceNow into one list. Every call crosses one OpenAI-compatible gateway enforcing guardrails, RBAC, budgets and logging; agents run inside Action Capsule sandboxes with per-task credentials and a kill switch; evaluation and red teaming are built in — 20 evaluators across six dimensions, offline and online runs, single- and multi-turn adversarial attacks turned into remediation.
It ships one way: single-tenant software in your own Kubernetes, air-gap capable, with no vendor control plane. Italy's central bank and banking regulator and Europe's largest defence and aerospace group run it in production — the same regulated buyer ModelOp serves, met at a different layer of the stack.
The capability radar
Each spoke is one capability, scored 0–10. ModelOp matches Kosmoy where it matters most to its buyer: Compliance & Audit ties at 9–9 — regulator-grade controls automation and reporting on one side, enforcement-derived evidence bundles on the other, same score by different mechanisms. It stays close on AI Inventory & Discovery (8 vs 9), where its vendor-embedded coverage is a real specialty, and on Deployment Sovereignty (8 vs 10) — ModelOp is one of the few governance vendors that refuses public SaaS outright, so sovereignty is not the differentiator here that it is elsewhere in this series. The wide gaps are all runtime axes: gateway (8 vs 4), guardrails (8 vs 4), containment (9 vs 2), security (8 vs 4), evals (7 vs 5).
- ModelOp
- Kosmoy
| Capability (0–10) | ModelOp | Kosmoy | Notes on ModelOp |
|---|---|---|---|
| AI Inventory & Discovery | 8 | 9 | Inventory across every AI type including vendor and embedded AI, with LLM use-case classification — registration-driven rather than discovered. |
| Security & Shadow AI | 4 | 8 | Governance visibility of vendor/embedded AI; no scanning-based shadow-AI discovery documented. |
| Observability & FinOps | 5 | 7 | Automated production monitoring (sentiment, PII/PHI, performance) plus value reporting; no span-level traces. |
| Gateway & Policy Control | 4 | 8 | Policy decisions pushed to Kong API Gateway for real-time expose/block; no native gateway of its own. |
| Guardrails & Runtime Safety | 4 | 8 | Inline protections (injection blocking, PII leakage, unsafe tool use) delivered through gateway enforcement integrations. |
| Agent Containment | 2 | 9 | Not documented — indirect control via gateway endpoint restriction. |
| Compliance & Audit | 9 | 9 | The core strength: EU AI Act / NIST / ISO 42001 / SR 11-7 controls, evidence automation, audit trails, AI Governance Score. |
| Testing, Evals & Red-teaming | 5 | 7 | Model validation and testing workflows; no adversarial red teaming. |
| Agent Building | 2 | 6 | MADE orchestrates agents into governed delivery workflows; not an agent builder. |
| Deployment Sovereignty | 8 | 10 | On-prem, customer cloud or managed private SaaS — no public multi-tenant SaaS. |
Bold marks the highest score on each row. 10 is reserved for categorical architectural facts; specialists are expected to outscore platforms on their own spoke.
See it live
How Kosmoy scores on these axes — see it on your own use case.
Book a demo30 minutes, straight to the product. Or email sales@kosmoy.com.
Where ModelOp wins
Controls automation across more frameworks. Lifecycle controls mapped to internal policy and to the EU AI Act, NIST AI RMF, ISO 42001, OCC SR 11-7, HIPAA and GDPR (controls page; regulations hub). Kosmoy produces evidence for the EU AI Act, ISO/IEC 42001 (aligned) and NIST AI RMF; ModelOp's framework surface is wider — SR 11-7 above all, the framework a bank's second line actually audits against.
Inventory that includes the AI you bought, not just the AI you built. ModelOp inventories open-source, cloud, proprietary, vendor and embedded AI, with LLM use-case classification and automated production monitoring (AI governance software). Kosmoy's connectors reach agents on five major platforms; the AI living inside purchased software — the scoring model inside a vendor's underwriting product — is a ModelOp specialty Kosmoy does not match.
Regulator-grade reporting. Model cards, validation summaries, audit trails, an AI Governance Score, and value/usage reporting via the Enterprise AI Command Center (reporting page) — artifacts shaped by years of producing what examiners request. Gartner named ModelOp a Visionary in the June 2026 Magic Quadrant for AI Governance Platforms (press release); Kosmoy was not included in that quadrant.
Deployment sovereignty parity. On-premises, customer cloud, or private SaaS installed in the customer's network — explicitly no public SaaS. Sovereignty is usually Kosmoy's cleanest win in a governance comparison; against ModelOp it is close to a draw (8 vs 10), and buyers who shortlisted ModelOp for that reason are right to.
Where Kosmoy wins
Native request-path enforcement. ModelOp is the policy and decision layer: the July 2026 Kong partnership pushes its decisions to Kong API Gateway, which exposes or blocks endpoints as governance status changes (press release) — enforcement depends on a third-party gateway executing the decision. Kosmoy is the gateway: guardrails, RBAC, budgets and logging applied in-line on every LLM, MCP and A2A call, with nothing else to deploy or integrate.
Span-level traces and online evaluation. ModelOp's production monitoring is metrics-based — sentiment, PII/PHI, cross-LLM performance — and it does not document span-level LLM or agent traces as of August 16, 2026. Kosmoy records cost, usage, logs and agent traces per model, app and user, and runs online evaluations against live traffic through the same gateway that enforces the fix.
Containment. ModelOp does not document agent containment or sandboxing as of August 16, 2026 — the indirect lever is gateway endpoint restriction. Kosmoy's Action Capsule runs each agent, MCP server or private model in a kernel-enforced sandbox whose only egress is its paired gateway, with per-task credentials and a kill switch. For autonomous agents, that is the difference between revoking an endpoint and bounding a blast radius.
Built-in evaluation and red teaming. Kosmoy ships 20 evaluators across six dimensions, offline and online runs, and single- plus multi-turn adversarial attacks judged, scored and turned into remediation. ModelOp documents model validation and testing workflows but no adversarial red teaming as of August 16, 2026.
Shadow AI found, not just filed. ModelOp's inventory is registration- and integration-driven; it does not document scanning-based discovery of unknown AI as of August 16, 2026. Kosmoy's master registry reconciles what its connectors find on Foundry, Bedrock, Vertex, Salesforce and ServiceNow against what is registered and approved — surfacing the agents nobody declared, backed by gateway-enforced access control.
Deployment and pricing model
| ModelOp | Kosmoy | |
|---|---|---|
| Hosting model | On-premises, customer cloud, or private SaaS in your network — explicitly no public SaaS | Self-hosted only — single-tenant, your own Kubernetes (air-gap capable) |
| Enforcement path | Policy decisions pushed to third-party gateways (e.g., Kong) that expose or block endpoints | Native OpenAI-compatible gateway in-line on every LLM, MCP and A2A call |
| Observability depth | Metrics-based production monitoring (sentiment, PII/PHI, performance); span-level traces not documented | Cost, usage, logs and agent traces per model, app and user |
| Containment | Not documented — indirect control via gateway endpoint restriction | Action Capsule kernel-enforced sandbox, per-task credentials, kill switch |
| Evals / red teaming | Model validation and testing workflows; adversarial red teaming not documented | 20 evaluators across six dimensions, offline and online, plus single- and multi-turn red teaming |
| Compliance frameworks | EU AI Act, NIST AI RMF, ISO 42001, OCC SR 11-7, HIPAA, GDPR controls automation | EU AI Act, ISO/IEC 42001 (aligned) and NIST AI RMF evidence from registry state plus gateway logs |
| Pricing shape | By quote — annual subscription, consumption-priced by models under management | Enterprise subscription; no self-service tier |
Last verified August 16, 2026 against each vendor's public documentation.
Running them together
These two coexist more cleanly than most pairs in this series, because ModelOp is deliberately not in the request path. The working split: ModelOp holds the governance record for the whole model estate — the SR 11-7 inventory, validation workflows, controls evidence and regulator reporting, including the vendor and embedded AI that never touches an LLM gateway. Kosmoy holds the runtime for GenAI and agents: every call through its gateway, budgets capped where spend happens, agents contained in capsules, traces and online evals on live traffic. Kosmoy's enforcement logs, guardrail verdicts and registry state are operating-effectiveness evidence ModelOp's controls and reporting can consume — the artifact an attestation workflow needs but cannot generate from lifecycle metadata alone.
There is no architectural conflict to manage: where ModelOp's Kong integration governs API endpoints, Kosmoy is itself the endpoint layer for LLM traffic, so each product enforces in its own lane. The one real overlap is compliance evidence, and there the honest division is mechanism — program-of-record attestation from ModelOp, runtime proof from Kosmoy.
Questions buyers ask
Was Kosmoy in the June 2026 Gartner Magic Quadrant for AI Governance Platforms?
No. ModelOp was named a Visionary in the inaugural edition, published June 2026 ([press release](https://www.globenewswire.com/news-release/2026/06/22/3315311/0/en/modelop-named-a-visionary-in-the-2026-gartner-magic-quadrant-for-ai-governance-platforms.html)); Kosmoy was not included in that Magic Quadrant. This comparison is built on public product evidence — documentation and press releases, cited throughout — and does not place Kosmoy on Gartner's quadrant or reproduce Gartner's evaluation. If analyst position is a primary criterion, that counts for ModelOp, and nothing here implies Gartner endorses Kosmoy.
Does ModelOp enforce policies at runtime?
Not by itself — by design. ModelOp is the policy and decision layer; runtime enforcement runs through gateway partners, most prominently the July 2026 Kong integration, which pushes ModelOp policy decisions to Kong API Gateway so endpoints are exposed or blocked in real time as governance status changes ([press release](https://www.globenewswire.com/news-release/2026/07/16/3328488/0/en/modelop-and-kong-partner-to-bring-zero-trust-enforcement-to-the-agentic-enterprise.html)). That works, but it makes enforcement a two-vendor architecture. Kosmoy enforces natively: its own gateway applies guardrails, RBAC and budget caps in-line on every call.
Which is better for EU AI Act compliance?
Both produce EU AI Act evidence; the mechanisms differ. ModelOp automates lifecycle controls and generates program-of-record artifacts — model cards, validation summaries, audit trails, an AI Governance Score — across a wide framework set that also spans NIST AI RMF, ISO 42001, SR 11-7, HIPAA and GDPR. Kosmoy generates evidence from what actually happened at runtime: registry state plus gateway logs, guardrail verdicts and containment events. A program audit is best served by ModelOp's depth; proof that controls operate in production is Kosmoy's ground. Many regulated enterprises will honestly need both kinds of evidence.
Is ModelOp only for banks?
No, but its center of gravity is regulated financial services and healthcare — the buyers with hundreds of heterogeneous models, an SR 11-7 or equivalent model-risk practice, and examiners who ask for validation summaries. Its framework coverage (HIPAA, GDPR, EU AI Act, ISO 42001) travels beyond banking. What defines the fit is estate shape, not industry: if most of your AI risk sits in a large, mixed model inventory including vendor and embedded AI, ModelOp fits; if it sits in live LLM and agent traffic, Kosmoy does.
Can I run ModelOp and Kosmoy together?
Yes — and the split is unusually clean because ModelOp never sits in the request path. ModelOp remains the governance system of record for the classic model estate, vendor and embedded AI included; Kosmoy runs the GenAI and agent runtime — gateway enforcement, budget caps, traces, capsule containment, red teaming. Kosmoy's runtime evidence feeds ModelOp's controls and reporting, and neither product duplicates the other's job.
Sources
Every factual claim about another vendor on this page traces to that vendor's own published material or a named third-party source below.
- Kosmoy AI Gateway — accessed August 16, 2026
- Kosmoy Action Capsule — accessed August 16, 2026
- Kosmoy AI Evaluation & Red Teaming — accessed August 16, 2026
- ModelOp named a Visionary in the 2026 Gartner MQ (press release) — accessed August 16, 2026
- ModelOp Center — AI governance software — accessed August 16, 2026
- ModelOp + Kong: zero-trust enforcement (press release) — accessed August 16, 2026
- Controls & compliance automation — accessed August 16, 2026
- AI regulations & standards hub — accessed August 16, 2026
- Agentic AI governance capabilities — accessed August 16, 2026
- Reporting & evidence — accessed August 16, 2026
See the platform behind the scores
Kosmoy puts an inventory, a policy gateway and a containment sandbox around every AI your teams run — in your own Kubernetes.
Or email sales@kosmoy.com.