Kosmoy vs OneTrust AI Governance: Compared for 2026

Each spoke is one capability, scored 0–10. The products tie at 9 on Compliance & Audit — OneTrust's nine is program automation at suite scale (assessments, control mapping, automatic re-classification, privacy adjacency), Kosmoy's is enforcement-derived evidence. OneTrust's 8 on AI Inventory & Discovery sits just under Kosmoy's 9: both take the connector approach to agent discovery, OneTrust across three cloud AI platforms, Kosmoy across five sources including Salesforce and ServiceNow. From there the chart tilts: gateway (8 vs 3), guardrails (8 vs 5), containment (9 vs 1), observability (7 vs 2) and sovereignty (10 vs 2) all run to Kosmoy — the runtime half of the problem, which OneTrust's own docs largely defer.

Program integration at suite scale. AI governance attaches to the privacy program ~14,000 organizations already run: DPIA/PIA workflows extend to AI impact assessments, third-party risk extends to AI vendors, and the Data Discovery classification engine powers AI Guard's 300+ classifiers. No standalone governance product — Kosmoy included — can match the switching cost already paid.

Compliance automation depth. EU AI Act, ISO 42001 and NIST AI RMF templates with automated control mapping, regulatory updates, conformity-assessment guidance and automatic risk re-classification when models, data or agents change (EU AI Act solution) — recognized with a Visionary position in the inaugural Gartner Magic Quadrant for AI Governance Platforms, June 16, 2026 (MQ summary).

Agent discovery, generally available. Agent Detection across AWS Bedrock, Azure AI Foundry and Google Vertex AI reached GA in the Spring '26 release, feeding a searchable org-wide agent inventory (release blog). Among GRC-heritage vendors, that is a concrete, shipped answer to the shadow-agent problem.

Data-classification pedigree. AI Guard's classifiers come from OneTrust Data Discovery — years of production PII, secrets and proprietary-code detection — and the SDK itself is open source under Apache-2.0 (GitHub). For pre-production PII-risk testing of AI apps, it is a credible, well-documented tool.

Production-scale runtime enforcement. OneTrust's own AI Guard documentation scopes it to development and testing workloads and advises against the classification volumes of externally facing AI applications or agents. Kosmoy's gateway exists for exactly those volumes: guardrails, RBAC, budgets and logging enforced in-line on every LLM, MCP and agent-to-agent call in production.

A gateway, not a per-app SDK. AI Guard must be embedded in each application's code. Kosmoy is a central policy point — applications move onto it by changing a base URL, and policy, access control and cost limits apply uniformly across every app and agent without per-team integration work.

Containment. OneTrust's agent story is detection, inventory and monitoring; no sandboxing, scoped credentials or kill switch are documented as of July 15, 2026. Kosmoy's Action Capsule runs each agent in a kernel-enforced sandbox whose only egress is its paired gateway, with per-task credentials and a kill switch — containment as architecture.

Observability and FinOps. OneTrust streams AI Guard classification metrics into its governance module; token spend, cost attribution, budgets and traces are not documented. Kosmoy tracks cost, usage and agent traces per model, app and user, with budgets enforced at the gateway.

Sovereignty. OneTrust is multi-tenant SaaS with no self-hosted or air-gapped option documented. Kosmoy is single-tenant software in your own Kubernetes, air-gap included — prompts and evidence never transit a vendor cloud.

For a OneTrust shop, the practical architecture is layered rather than either/or. OneTrust remains the program of record — assessments, policy library, vendor risk, EU AI Act documentation — while Kosmoy becomes the enforcement point for production traffic: gateway policy, guardrails, budgets, agent containment. The two inventories reconcile naturally: both discover agents through platform connectors (OneTrust across Bedrock, Foundry and Vertex; Kosmoy across those plus Salesforce and ServiceNow), and Kosmoy's registry state and enforcement logs are exportable evidence for the controls OneTrust tracks.

OneTrust's March 2026 'continuous control plane' announcement signals it intends to grow into runtime governance — AI Guardrail Enforcement is in Public Preview now. Until that matures beyond preview and beyond AI Guard's documented dev/test scope, the pragmatic read is the one its own docs support: run the program in OneTrust, enforce in the request path with something built for it.