Security problems Cup’n’String is built to solve
Cup’n’String is an AI agent security control plane for developer workstations. Each solution below maps a real, high-intent security concern to discovery, policy, enforcement, credential shielding, and audit.
Credential ShieldingPrevent AI Agents from Reading SecretsAI coding agents and MCP tools run with the same local access a developer has — including `.env` files, API keys, and cloud credentials. Cup’n’String is designed to shield that material, route provider traffic through a credential-injecting proxy, and record which agents attempted to reach sensitive paths.MCP GovernanceControl MCP Server Access Across Developer WorkstationsThe Model Context Protocol lets AI agents call tools that read files, run commands, and reach local services. Cup’n’String can sit in the path of MCP activity to apply tool allowlists, restrict filesystem and shell access, shield secrets, and audit tool calls.Local Model GovernanceGovern Local LLM EndpointsLocal model servers like Ollama and LM Studio expose OpenAI-compatible endpoints on developer machines. Cup’n’String can discover these endpoints, control which agents may connect, and decide whether they may be exposed beyond the workstation.Shadow AI DiscoveryDiscover Shadow AI ToolsDevelopers adopt new AI tools faster than security can review them. Cup’n’String is designed to detect unknown processes, observe outbound activity, and surface unmanaged AI tools and endpoints for review.AI Agent SecuritySecure AI Coding WorkstationsAI coding agents operate close to source code, secrets, local APIs, and developer services. Cup’n’String is an AI agent security control plane that discovers local resources, applies policy, shields credentials, and records audit evidence on the workstation.Audit & EvidenceAudit AI Agent ActionsWhen an AI agent reaches a sensitive resource, security teams need to know who, what, and when. Cup’n’String is designed to attribute agent activity and record policy decisions into audit evidence.AI Egress ControlBlock Unauthorized LLM EgressAI tools can send code and data directly to external providers. Cup’n’String is designed to attribute and control outbound LLM traffic on the workstation, with host firewall orchestration where supported, so unapproved egress can be detected and restricted.Self-Hosted & SovereignSelf-Hosted AI Agent Control PlaneFor organizations with strict compliance, sovereign data, or high-security requirements, Cup’n’String offers a Standalone Enterprise Edition that runs entirely inside your private cloud or on-premises network.Secure Reverse TunnelSecure Reverse Tunnel for Private Developer ServicesDevelopers often need to share a local API, database, or demo with a teammate or service. Cup’n’String establishes secure outbound-only reverse tunnels so approved services can be reached without opening inbound ports.Firewall OrchestrationAI Agent Firewall OrchestrationNetwork policy for AI agents is most effective when enforced close to the endpoint. Cup’n’String translates policy intent into native firewall rulesets — pf, WFP, nftables — and orchestrates enterprise and ZTNA platforms where configured.
Secure your AI coding workstations with Cup’n’String
Discover, govern, and audit AI agent activity across your developer fleet.