1claw AI

Every time you paste an API key into Claude or Cursor, it lands in the context window, logs, and memory. You can't un-paste it. We built 1claw to fix this — agents fetch secrets at runtime from an HSM vault. The raw key never touches a prompt. 1claw.xyz

Recording this episode with @cryptomastery_ was an incredible experience. As we enter the era of agentic coding and AI-powered development, learning how to build and operate safely becomes more important than ever. Exploring how @1clawAI approaches AI security, secret management, and protecting developers from rapidly evolving threats was truly eye-opening. Excited to share this #EcosystemProjectDemo conversation with the community 📺 youtu.be/k_lMvQegPRE #Ethereum #AI #AIagent #blockchain #podcast @ECHInstitute

🦞 India 1Claw community in full effect.

Before AI agents, it took ~40 minutes from a site going live to the first attack. Now it's 8 seconds. Kevin Jones @cryptomastery_ breaks down why old approaches to secrets are broken — and how @1clawAI fixes it. The problem. Every time an agent is told "use my Stripe key" or "sign this transaction" — credentials end up in the context window, provider logs, debug traces. You can't unsay a pasted key. Rotating .env doesn't fix the leak.

Vault — HSM + MPC @1clawAI keeps secrets in HSM vaults with envelope encryption. The DEK can be Shamir-split 2-of-3 across GCP, AWS, and Azure — compromising one provider yields nothing. Agents fetch at runtime. They never store the secret.

@1clawAI 👀

🦞

@VitalikButerin @kassandraETH @ncsgy Similar focus at @1clawAI Shielded wallets in a TEE, coming right up.

.@kassandraETH @ncsgy and others have been working hard for nearly a year on Kohaku. Kohaku's goal is to make two twin properties: * Security (and trustlessness) * Privacy (read and write) a reality on the access layer. Security and privacy on Ethereum must be normal.

@coinbase @base The repo: github.com/1clawAI/1claw-… Wizard does the setup. MIT licensed. Wraps the official AgentKit so your agents get encrypted vault + TEE signing + guardrails like 0.5 ETH max per tx and 2 ETH per 24h max. 🦞

Even if an AI agent is fully compromised, it cannot exfiltrate the key or bypass spending rules. We shipped @1claw/agentkit for @coinbase AgentKit on @base: encrypted vault, TEE-locked keys, server-enforced guardrails. 5-min setup. 1claw.xyz/blog/securing-…

@sir4K_zen @Aurey_ai Means a lot. Architecture clean was always the discipline. Agent never holds the credential, every call gets gated, vault makes the upstream. Builder talk lands in our TG: 1claw.xyz/telegram 🦞

@1clawAI @Aurey_ai Clean architecture, keeping keys out of the agent

@Aurey_ai just opened beta for their agentic wallet. Under the hood: 1Claw vault for secrets, Shroud for LLM traffic, signed-intent signing. The keys never live in the agent process. Access via their Telegram: x.com/aurey_ai/statu… 🦞

I already told you, the $1clawAI is underrated Whatever is newly built on Base, it’s all here! 🥇🦞 @1clawAI

🦞 + 🟦 = 🔐

That's why 1Claw exists 🥇🦞

Fill this out and we will get back to you... forms.gle/ayc3JESZJRHZU8…

1Claw Red Team is coming. 🦞 > Autonomous AI Agent Security Swarms > Audit Code and Agent Endpoints in Real Time > Actionable Reporting and Security Posture Attestations @1clawAI is about to get a lot stronger and so is your agent. Beta access form in the comments 👇

Your agent's LLM traffic is a liability. Prompts leak data. Responses echo training material. Tool calls cross trust boundaries. Shroud inspects every prompt and response inside a TEE, redacts, enforces policy, never logs raw contents. How it works: 1claw.xyz/blog/your-agen… 1claw.xyz/telegram

Big stuff coming this week and next for @1clawAI 🦞

@SwissFares Amazing! Thanks for the great feedback. Sending you a DM

@1clawAI The OIDC setup worked very smoothly and was much easier to configure than previous solutions. For context, here’s more detail on my setup (I’d be happy to expand this into a proper case study if useful): Internal Project I run a small self-hosted observability stack in Zürich for several personal and DeFi-related side projects. The AI agents provide continuous monitoring of my infrastructure without requiring constant manual oversight. Agent Responsibilities - Real-time monitoring of Prometheus metrics (CPU/memory usage, service health queries, and API latency alerts). - Pulling and analyzing Grafana dashboards for visual anomaly detection, such as unusual traffic patterns. - Scanning Loki logs for error patterns, rate limits, and suspicious backend activity. The agents operate on a local environment, periodically retrieving data and sending summaries via Telegram or a private channel. Prior to using 1clawAI, secret management was a significant concern, especially around potential leaks in prompts or logs. With 1clawAI - Workload identities and OIDC handle authentication cleanly on a per-agent basis. - Secrets are securely vaulted and provided just-in-time, eliminating static keys. - Initial setup took approximately 30–40 minutes, with automatic rotation and tight scoping. Since switching, I’ve had zero exposure issues. I currently run 4–5 agents and plan to add more for improved notification routing. I’m happy to share configuration snippets, exact Prometheus scrape configs, or any additional details for a case study. Appreciate the strong tool 🦞

@1clawAI worked out okay for my agents. Keys aren’t flapping around exposed anymore and the OIDC setup didn’t fight me. Decent if you’re dealing with that kinda thing 🦞