Arcade: Enterprise Actions Runtime and Governance Layer for AI Agents

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Arcade is an actions runtime designed to govern and secure enterprise AI agents interfacing with internal and external tools. It acts as an enforcement point between agents and connected systems, handling identity provider authentication, scoped authorization, and audit logging, with deep support for the Model Context Protocol (MCP).

Key points

  1. Runtime policy enforcement: Policies are enforced directly in the action execution path outside the LLM context, preventing prompt tampering from bypassing rules.
  2. Delegated authorization: Agents operate on behalf of authenticated users via enterprise IdPs, constrained to the intersection of user permissions and explicit agent scopes.
  3. Broad tool integration: Access to over 8,000 permission-aware tools and custom MCP servers built using Python or JavaScript.
  4. Auditing and compliance: Single audit trail linking the specific agent, user, and target system, streamable to enterprise SIEM platforms; SOC 2 certified.
  5. Flexible deployment options: Can be deployed in the cloud, VPC, on-premises, or air-gapped environments, supporting popular frameworks like LangChain, LlamaIndex, and CrewAI.

Why it matters

As AI agents transition from read-only assistance to transactional operations in production systems, securing tool execution becomes critical. Using shared service accounts or granting blanket user access introduces unacceptable blast radiuses and audit gaps. A specialized runtime provides a hardened control plane for agent actions.

Analysis

Arcade addresses the operational hurdles of enterprise agent deployments. Relying on prompts to enforce security boundaries is fragile, and manual infrastructure for hundreds of agent tools quickly becomes unsustainable. By integrating directly with existing identity providers and MCP standards, Arcade introduces fine-grained pre- and post-tool-call inspection (e.g., catching hallucinated calls or redacting PII). The platform positions itself as an infrastructure layer analogous to enterprise SSO, allowing development teams to adopt any model or orchestration framework while maintaining centralized oversight and compliance.

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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