AI · alternatives · 2026
24 alternatives to Cencurity
Security gateway for LLM agents
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
Many 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…
Dec 2025 · truefoundry.com · its alternatives →
- 2
Context Gateway▲220We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…
Mar 2026 · github.com · its alternatives →
- 3
Breadcrumb▲163Open-source LLM tracing for agent visibility
Mar 2026 · breadcrumb.sh · its alternatives →
- 4
MaskLLM▲132Mask your LLM APIs for secure rotation and logging
2025 · maskllm.com · its alternatives →
- 5
Zercurity▲80Monitor your infrastructure for policy non-compliance, live
2017 · jumpcloud.com · its alternatives →
- 6
Security for AI-generated code, while it’s being written
Mar 2026 · github.com · its alternatives →
- 7
A zero-trust security layer between your apps and LLMs
Jan 2026 · its alternatives →
- 8
We built OneCLI because AI agents are being given raw API keys. And it's going about as well as you'd expect. We figured the answer isn't "don't give agents access," it's "give them access without giving them secrets." OneCLI is an open-source gateway that sits between your AI agents and the services they call. You store your real credentials once in OneCLI's encrypted vault, and give your agents placeholder keys. When an agent makes an HTTP call through the proxy, OneCLI matches the request by host/path, verifies the agent should have access, swaps the placeholder for the real…
Mar 2026 · github.com · its alternatives →
- 9
Plug-and-Play terminal gatekeeper for LLM agents
Jan 2026 · github.com · its alternatives →
- 10
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…
2025 · archestra.ai · its alternatives →
- 11
Hi there, me and some friends were inspired by Simon Willison's recent post on the "lethal trifecta" (https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/ ) and started building a gateway to defend against it. The idea: instead of connecting an LLM directly to multiple MCP servers, you point them all through a Gateway. The Gateway: - Connects to each MCP server and inspects their tools + requirements - Classifies tools along the "trifecta" axes (private data access, untrusted content, external comms) - When all three conditions are about to align in a…
2025 · github.com · its alternatives →
- 12
Agentpanel is an observability platform for optimizing the control flow, performance, token usage, and correctness of LLM/AI agents! Built-in @rustlang, the first release of Agent Panel currently features an AI gateway that provides seamless access to 100+ LLMs across 20+ platforms, including OpenAI GPT-4o, Gemini 1.5 Pro latest, AnthropicAI Claude 3.5, MistralAI, Cohere, Groq,Perplexity AI, and more.
2024 · github.com · its alternatives →
- 13
A zero-trust API Gateway for your AI Agents.
Jun 2026 · zerotrust-agents.com · its alternatives →
- 14
Stealth Chromium engine that stops scrapers and browser agents from getting blocked, with one line of code change. - tiliondev/fortress
Jul 2026 · github.com · its alternatives →
- 15
GateLLM▲13The open-source gateway securing your AI workflows
2025 · gatellm.web.app · its alternatives →
- 16
An information-flow policy engine for LLM agents.
24d ago · openappa.com · its alternatives →
- 17
Hi 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…
Jan 2026 · github.com · its alternatives →
- 18
Hi HN, I've been developing Portkey Gateway, an open-source AI gateway that's now processing billions of tokens daily across 200+ LLMs. Today, we're launching a significant update: integrated Guardrails at the gateway level. Key technical features: 1. Guardrails as middleware: We've implemented a hooks architecture that allows guardrails to act as middleware in the request/response flow. This enables real-time LLM output evaluation and transformation. 2. Flexible orchestration: The gateway can now route requests based on guardrail verdicts. This allows for complex logic like fallbacks…
2024 · github.com · its alternatives →
- 19
Guardrails and Provenance for enterprise AI control
Mar 2026 · console.agumbe.ai · its alternatives →
- 20
The audit layer for AI agents — zero code changes
Apr 2026 · parthamehtaorg.github.io · its alternatives →
- 21
over this weekend myself and two of my friends took part in a hackathon and built this side-project. we have been diving into computer-use recently and developed an sdk to make it easy to implement for devs like us. one feature we were missing though, was the agent being able to log into services. anthropic understandably blocks this capability with their guardrails, and you wouldn't want your credentials to end up in any model context anyways. so we added a keychain service to the vm that the agent is using. it was built using the pass cli (https://www.passwordstore.org/).…
2025 · github.com · its alternatives →
- 22
Noisegate: a differential privacy gateway that lets an untrusted LLM agent query sensitive data over MCP (Model Context Protocol), with a formal guarantee no individual's record can leak even if the agent is adversarial - enforcement lives in trusted code below the model, validated by a runnable att
Jul 2026 · github.com · its alternatives →
- 23
We just open-sourced CargoWall - a lightweight eBPF firewall for GitHub Actions. We originally built it to stop LLM agents from connecting to untrusted domains. After recent GitHub Actions supply chain compromises like the Trivy attack, we realized it'd work well for blocking untrusted connections from CI runners too. It uses iptables DNAT to redirect all outbound port 53 traffic to a local DNS proxy, which checks each query against a hostname allowlist before forwarding. Resolved IPs from allowed responses are inserted into eBPF LPM trie maps, and a TC egress classifier attached to the…
Mar 2026 · github.com · its alternatives →
- 24
Prompt-injection firewall for prod LLM apps
Jul 2026 · insightits.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →