Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Enterprises are under pressure to deploy AI agents, and security teams are under pressure to control them. Today, most organizations struggle to do both. Runlayer closes that gap, delivering measurable outcomes across security, cost, and adoption velocity. 18,000+ MCPs across Claude, Cursor, ChatGPT, VS Code, Slack, and Salesforce Agentforce; reusable skills, plugins, and on-demand agents; one control plane for governance, identity, policy, security, visibility, and audit; plus Runlayer Watch for detecting shadow AI.
Enterprises are under pressure to deploy AI agents, and security teams are under pressure to control them. Today, most organizations struggle to do both. Runlayer closes that gap, delivering measurable outcomes across security, cost, and adoption velocity:
Show the rest of the publisher’s description (5 more lines)
Accelerate safe AI adoption: Security teams become enablers rather than blockers. With centralized policy enforcement, credential management, and pre-deployment security scanning of MCP servers, organizations can approve agent use cases in days instead of quarters, without one-off security reviews for every new tool integration.
Reduce security and compliance risk: Every agent-to-tool interaction is authenticated, authorized against fine-grained policies (by user, team, agent, or tool), and logged with full tool-call tracing. Shadow AI detection surfaces unsanctioned agent and MCP usage across the organization, giving CISOs a complete inventory of AI activity rather than a partial view.
Control and allocate AI spend: Token-level metering at the gateway boundary provides accurate usage data per team, agent, and workload.
Standardize agent infrastructure: A skills and plugins framework packages reusable agent instructions, tools, and workflows for consistent deployment across teams.
Deploy on your terms: Runlayer supports inline proxy enforcement for guaranteed preventive control, hook-based local enforcement for lightweight coverage, or both.
Highlights
Highlighted by the publisher on AWS Marketplace.
The security layer for enterprise AI agents. Centralize policy enforcement and credential management, catch risks with pre-deployment scanning, and approve new use cases in days, not months.
Complete visibility and control: every agent-to-tool interaction authenticated, authorized, and logged with full tool-call tracing, plus shadow AI detection across your organization
Token-level cost metering and a reusable skills & plugins framework standardize agent infrastructure across teams
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Plans and pricing as listed
2 listed- Units
- Units
Refund terms
As stated by the publisher on AWS Marketplace.
All fees are non-cancellable and non-refundable except as required by law.
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

