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“If agents become the operating system, they need operating-system level security.” Illia (root.near) (🇺🇦, ⋈) CEO of NEAR Protocol: “Every tool runs isolated in WebAssembly, with strong sandboxing and defense-in-depth.” “We built controls for prompt injection, data exfiltration, and credential access.” “Credentials stay encrypted and only decrypt when policy...

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Forward Future

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13,658 görüntüleme • 3 ay önce •via X (Twitter)

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Illia presenting IronClaw at BUIDL Asia (April 16-17, 2026). "Think of IronClaw as iOS for agents - secure by default." From sandboxed execution and encrypted credential vaults to confidential inference and self-improving skills, IronClaw is building the secure operating system agents need. The future of private, sovereign AI agents is here.
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Illia presenting IronClaw at BUIDL Asia (April 16-17, 2026). "Think of IronClaw as iOS for agents - secure by default." From sandboxed execution and encrypted credential vaults to confidential inference and self-improving skills, IronClaw is building the secure operating system agents need. The future of private, sovereign AI agents is here.

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Sharing the verification flow demo of Sign's Verifiable Credential system from our tech team standup today, presented by my Cornell alumni leo-li.eth: in the demo he shows an end user opens their phone wallet that holds the verifiable credentials, reveals and verifies his Cornell degree + 4.0 GPA. (Diploma's the light example, such credentials can be expand to healthcare records, real estates, licenses, etc) When designing such credential system for nations, we need to think about: Who decides what you prove, to whom, and what gets logged. Today a lot of system flow: verifier asks -> central system answers -> data copies, logs, spreads. Every check creates visibility you didn't choose. Sign's verifiable credentials invert it. With our system: issuer signs once, holder stores, and verifier confirms signature + revocation locally. States get scalable services without single points of failure and citizens get control over disclosure. We are building a lot of cool systems with our clients, I will share more about what $SIGN is building, and our progress with our community.
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This guy lost his private keys to an AI agent. Then his passwords leaked online. He wasn't the only one. Reddit threads blew up. Dozens of people saying the same thing. "My credentials got exposed." "The agent ran code I didn't approve." "I don't trust this anymore." That's the OpenClaw problem nobody talks about. Now there's a fix. It's called IronClaw. Here's what makes it different: Built in Rust → fewer bugs, fewer holes for hackers to exploit Web assembly sandboxes → every tool runs in its own sealed room Encrypted credential vault → the AI never sees your passwords. Ever. Policy enforcement → you set the rules, the agent follows them Full audit logs → see exactly what it did, when, and why Side by side: OpenClaw → credentials leaked, no audit trail, tools accessed everything IronClaw → encrypted vault, sandboxed tools, policy guardrails, logs everything It's not for casual use yet. But if you're running a real business with real data? There's only one right answer here. Go to ironclaw.te and read how the credential vault works. The future of AI agents is secure AI agents. Full stop.

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Today we’re introducing 1Password® Unified Access. As AI agents start operating inside real production environments, organizations need visibility into how credentials and access are actually used. Unified Access helps security teams discover, secure, and audit access across humans, machines, and AI agents. 🔗 More here:

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AI models learn what’s most repeated, not what’s true. NEAR Protocol co-founder Illia (root.near) (🇺🇦, ⋈) and our CEO Omer Goldberg break down why data provenance, source reputation, and community curation are critical to building trustworthy AI.

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