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Alternatives

Products that do what SecureShell does

Plug-and-Play terminal gatekeeper for LLM agents

  1. 1

    Security gateway for LLM agents

    Feb 2026 · cencurity.com

  2. 2
    VELA74

    Securely execute AI-generated & untrusted code

    Jun 2026 · vela-secure.vercel.app

  3. 3

    Self-hosted AI agent that connects 1000+ apps on Vercel

    May 2026 · github.com

  4. 4

    The most user-friendly OpenClaw. Securely hosted.

    Mar 2026 · jdoodle.com

  5. 5

    Skip migration and launch MCP with built-in Auth

    Nov 2025

  6. 6
    OneCLI143

    Give every employee a secured, sandboxed pro assistant agent

    17d ago · onecli.sh

  7. 7AT

    In light of recent news about an agent deleting a production database, I thought now would be a good time to share this. As the use of AI tools in production is becoming more common, sadly so will the high profile incidents like the one mentioned. Fewshell is a terminal agent specifically designed to avoid this. There is no setting to enable command auto-approval. This is by-design, so that the user never has to second-guess or worry about accidentally having it enabled. Originally my intention was to build an AI mobile terminal to make typing shell commands easy. But with so many…

    Apr 2026 · github.com

  8. 8AM

    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…

    Sep 2025 · github.com

  9. 9
    Loomal92

    Identity infrastructure for AI agents

    Apr 2026 · loomal.ai

  10. 10OS

    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…

    Oct 2025 · archestra.ai

  11. 11

    Axios / LiteLLM hacks behavioral detector app for Mac/PC

    Apr 2026 · edamame.tech

  12. 12IB

    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

  13. 13

    A zero-trust security layer between your apps and LLMs

    Jan 2026

  14. 14MS
  15. 15

    Security-first hosting for AI agents

    Feb 2026 · safeclaw.tech

  16. 16

    A Security Skill Suite for OpenClaw Agents

    Feb 2026 · prompt.security

  17. 17

    7 layers between your AI agents and disaster.

    Feb 2026 · takeinterest.ai

  18. 18

    A kill switch and hard budgets for runaway AI agents

    Jun 2026 · github.com

  19. 19MG

    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

  20. 20

    Blocks security leaks & data exposure in OpenClaw agents

    Mar 2026 · github.com

  21. 21CP

    Hi HN, I’ve been using OpenClaw daily since it dropped in November. I love the agency it provides, but as I started giving it more production API keys and access to my local filesystem, I realized the threat model was essentially "hope-based." We ran an experiment to see how resilient a standard OpenClaw setup was to prompt injection. Within 2 mins, we were able to exfiltrate active session tokens and API credentials through the chat interface. The problem is fundamental: in most agent architectures, the LLM logic and the sensitive credentials live in the same process space. If the agent is…

    Feb 2026 · github.com

  22. 22

    A zero-trust API Gateway for your AI Agents.

    Jun 2026 · zerotrust-agents.com

  23. 23

    First AI agent platform with provable E2E encryption.

    Apr 2026 · privateclaw.dev

  24. 24AU

    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

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