Runlayer
Enterprise MCP gateway
Runlayer is an enterprise MCP gateway that routes every MCP request through a governed proxy — deterministic access policy (PBAC), agent identity and token brokering, shadow-MCP discovery (Watch), and an ML-based threat scanner (Guard). MCP is its entire center of gravity.
Source: runlayer.com
Operant AI
Runtime AI application defense (cloud-native)
Operant AI is a runtime AI application defense platform for cloud-native environments — "3D Runtime Defense," an MCP Gateway, Agent Protector, and the open-source Woodpecker red-teaming engine — with inline action blocking, data redaction, and prompt-injection defense.
Source: operant.ai
How do Runlayer and Operant AI compare?
12 criteria that decide whether an enterprise can prove — not just hope — that its AI agents stay inside policy.
| Criterion | Runlayer | Operant |
|---|---|---|
| Deterministic, rule-based authorization Provable allow/deny decisions, not ML/probabilistic detection | ◐ | ◐ |
| Pre-execution enforcement Evaluates and blocks an action before it executes | ● | ● |
| Segregation of Duties enforcement Conflict-of-duty rules across agent actions | ○ | ○ |
| Excessive-agency prevention / least privilege Scopes each agent to the narrowest action surface | ● | ● |
| Design-time action-surface mapping Maps what an agent can do before it ships | ○ | ◐ |
| Compliance-classified tools catalog Tools/MCP servers pre-scored against SoD & regulations at design time | ◐ | ◐ |
| Full lifecycle coverage (design-time + runtime) Governs the agent before and during production | ◐ | ◐ |
| Named-approver human-in-the-loop routing Routes risky actions to specific accountable approvers | ◐ | ◐ |
| SOX / GDPR / financial-GRC control mapping & evidence Maps agent actions to financial & privacy control obligations | ◐ | ○ |
| AI-specific standards (ISO 42001, EU AI Act, NIST AI RMF, OWASP LLM) Alignment to emerging AI governance standards | ○ | ◐ |
| Immutable / tamper-evident audit ledger Cryptographically defensible evidence of every decision | ● | ◐ |
| GRC / internal-audit / IT-governance buyer fit Built for the compliance owner, not only the security engineer | ◐ | ○ |
What is Runlayer best at?
- Deep MCP focus — an 18,000+ server catalog across 300+ AI clients
- Deterministic PBAC access control with least-privilege intersection of agent/user/server policies
- Shadow-MCP discovery (Watch) and agent identity, including a 1Password partnership
- SOC 2 Type II, HIPAA and GDPR, with tier-1 backing and MCP-protocol credibility
What is Operant AI best at?
- Strong inline runtime blocking in Kubernetes, with a low-friction agentless helm install
- Prompt-injection/jailbreak defense and real-time DLP auto-redaction (PII/PCI/PHI/keys)
- Dedicated MCP Gateway with trust zones and tool-poisoning detection
- Woodpecker open-source red-teaming and broad Gartner coverage
What do Runlayer and Operant AI both leave to you?
Runlayer and Operant AI secure how agents operate — but neither enforces Segregation of Duties, maps an agent's action surface at design time, or produces SOX/GDPR-grade compliance evidence. That is the layer LangGuard adds.
- Deterministic, rule-based authorization on every action — reproducible and auditable, not probabilistic
- Segregation-of-Duties enforcement built in — the only vendor in this set to ship it
- Design-time action-surface mapping plus a compliance-classified tools catalog (SoD, SOX, GDPR, ISO 42001)
- Named-approver human-in-the-loop routing and an immutable, tamper-evident audit ledger
- Built for GRC, internal audit and IT governance — with SOX/GDPR control evidence
Which should you choose?
Runlayer and Operant AI are both strong runtime security tools. If your requirement is deterministic authorization, Segregation of Duties, design-time action-surface mapping, and audit-grade compliance evidence, LangGuard governs what agents are allowed to do — before they do it — and works alongside either.
Request Free TrialCommon questions
What is the difference between Runlayer and Operant AI?
Runlayer is categorised as Enterprise MCP gateway. Operant AI is categorised as Runtime AI application defense (cloud-native). The practical difference is where each one sits relative to the agent's action: one governs the request path, the other governs the decision to allow the action at all.
Does Runlayer enforce Segregation of Duties?
Runlayer does not enforce Segregation of Duties. Segregation of Duties is a conflict-of-duty rule across an agent's actions — the control that stops one agent both raising and approving the same transaction. It is the criterion most agent-security tools leave to the customer.
Does Operant AI enforce Segregation of Duties?
Operant AI does not enforce Segregation of Duties. Check this against your own control matrix before assuming runtime monitoring covers it — detecting a violation after the fact is not the same control as preventing it.
Which one gives you SOX and GDPR compliance evidence?
Runlayer produces logs that need work before an auditor will accept them. Operant AI does not map to SOX or GDPR control obligations. Logging that an action happened is not the same as evidence that it was authorized against a named control, which is what an internal auditor asks for.
Can Runlayer and Operant AI be used together?
Yes. They operate at different layers, so running both is common — one handles the runtime path, the other the authorization decision. The question is not which to buy but which layer you have not covered yet.
How were these 12 criteria scored?
Each vendor was scored against 12 governance and compliance criteria using public documentation, product pages and published compliance material as of August 14, 2026. Full means the capability is documented and shipping; partial means it is indirect or requires customer-authored policy; absent means it is not publicly documented. No vendor was contacted for a private briefing.
How did we score this?
This comparison is first-party research by LangGuard. Every vendor in the set is scored against the same 12 governance and compliance criteria, drawn from public product documentation, pricing and compliance pages, and published technical material, last verified .
- ● Strong — the capability is documented and shipping.
- ◐ Partial — present but indirect, or dependent on policy the customer writes.
- ○ Absent — not publicly documented at the time of review.
We publish comparisons that include our own product, so treat the LangGuard column as a vendor claim and check it the same way you would check anyone else's. Scoring is against public material only; no vendor was given a private briefing or a right of reply. Found something out of date? Tell us and we will correct it.
Sources: Runlayer — official site · Operant AI — official site
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