Open-Source Gateway to Stop Tool-Abusing Prompt Injections
Hi HN, Matvey, Ildar, Joey, and Dominik here. If you're building LLM agents that use tools, you're probably worried about prompt injection attacks that can hijack those tools. We were too, and found that solutions like prompt-based filtering or secondary "guard" LLMs can be unreliable. Our thesis is that agent security should be handled at the network level between the agent and the LLM, just like a traditional web application firewall. So we built Archestra Platform: an open-source gateway that acts as a secure proxy for your AI agents. It's designed to be a deterministic firewall against…
Open-Source Gateway to Stop Tool-Abusing Prompt Injections launched on October 13, 2025 with 9 votes, #1,657 of 8,178 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Move AI into production without losing control of data, access, and actions.
AI becomes useful when it can connect to your data, call your tools, and take action. Archestra gives every agent and AI client one controlled gateway to your systems. Safe AI is not AI that never makes a mistake, but the one whose access and actions are bounded, enforced, and visible. Connect Entra ID, Okta, OIDC, or SAML. Archestra records who initiated each tool call and resolves user credentials at runtime. Control tool access, approvals, isolation, and network egress. Block unauthorized actions and unsafe data flows before they reach your systems. Trace model requests, tool calls, policy decisions, and cost. Export telemetry through OpenTelemetry and Prometheus. Engineers keep Claude…from archestra.ai
In the maker’s words, at launch
Hi HN, Matvey, Ildar, Joey, and Dominik here. If you're building LLM agents that use tools, you're probably worried about prompt injection attacks that can hijack those tools. We were too, and found that solutions like prompt-based filtering or secondary "guard" LLMs can be unreliable. Our thesis is that agent…
Does a similar job
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TrueFoundry AI GatewayDec 2025 · truefoundry.com · ▲315Many teams connecting LLMs to external tools eventually encounter the same architectural issue: as more tools and agents are added, the integration pattern becomes an N×M mesh of direct connections. Each agent implements its own auth, retries, rate limiting, and logging; each tool needs credentials distributed to multiple places and observability becomes fragmented. We built LLM gateway with this goal to provide a single place to manage authentication, authorization, routing, and observability for MCP servers, with a path toward a more general agent-gateway architecture in the future. The…
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I built a firewall for agents because prompt engineering isn't securityJan 2026 · github.com · ▲7Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…
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