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If agent harnesses are the next OS layer, the trust model is everything. NEAR built it different: - Rust runtime - Hardware TEEs - Cryptographic attestation This is IronClaw. Secure by design.

80,244 просмотров • 5 месяцев назад •via X (Twitter)

Комментарии: 7

Фото профиля Filecoin
Filecoin5 месяцев назад

@IronClawAI @nasib_fathi @alex_scharrer Secure execution at the harness layer is essential. The data layer has to hold too, an agent running in a hardware TEE needs to know what it's reading hasn't been tampered with. Both layers matter. Filecoin provides a verification layer.

Фото профиля Nasib Fathi
Nasib Fathi5 месяцев назад

@IronClawAI @alex_scharrer This was a great interview!

Фото профиля Secret Apps
Secret Apps5 месяцев назад

@IronClawAI @nasib_fathi @alex_scharrer Trust models are the new battleground, secure foundations win cycles

Фото профиля Schrödingers Cow
Schrödingers Cow5 месяцев назад

@IronClawAI @nasib_fathi @alex_scharrer Sirs, Q re NEAR: To “move” a coin from another chain, IIUC the coin stays on its native chain. I just sign w NEAR Intents But- What if I move say, BTC onto ETH, Or SOL onto NEAR Does the coin “move” Or get wrapped ? TY

Фото профиля NEAR roticol.gg
NEAR roticol.gg5 месяцев назад

@IronClawAI @nasib_fathi @alex_scharrer Point multi is live: Near Protocol users who were included in our last snap (3/25), are eligible to claim a weekly 3x Near Protocol points loyalty multi! Check eligibility:

Фото профиля NEAR roticol.gg
NEAR roticol.gg5 месяцев назад

@IronClawAI @nasib_fathi @alex_scharrer The Near Protocol Summer Farming is now Live. All stakers are eligible to claim a 'NEAR Pass'. ☁️ Receive a 10x NEAR Point Multiplier 🛒 Redeem NEAR Points for yield boosters Earn Now:

Фото профиля NEAR roticol.gg
NEAR roticol.gg5 месяцев назад

@IronClawAI @nasib_fathi @alex_scharrer Update regarding $NEAR claims. 🔹The snapshot window is from March 15 to August 15. Claims for all users will be live by Oct 11th, 12 PM UTC. 🔹View your Allocation:

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Finally, an open-source runtime security layer for your agent harnesses. AI agents can call tools, run shell commands, modify files, and interact with production systems. But when something goes wrong, teams often have to reconstruct what the agent actually did from scattered logs after the fact. Agent Beacon is built to change that. It runs locally and records agent activity as it happens, including: → Tool calls → Shell commands → File changes → Approval decisions → Session and harness context The useful part is that it normalizes all of this into the same event format across 23+ agent harnesses. So instead of writing different detection logic for Claude Code, Codex, or another harness, security teams can reason about the underlying action itself. A command executed is a command executed, regardless of which harness produced it. Beacon also records how confidently an event was captured. An action can be directly observed from the runtime or inferred from indirect evidence. That matters when you start writing security rules against this data. For example, you can detect when an agent reads an environment variable, modifies a sensitive file, executes a suspicious command, or performs an action without the expected approval. And the detection happens while the session is still unfolding, not days later during incident reconstruction. Everything runs locally by default. You can inspect sessions through the dashboard, write your own detection rules, or forward the same normalized events to tools like Splunk, Datadog, Elastic, Sentinel, or CrowdStrike. Beacon GitHub: (don't forget to star 🌟) I also wrote a detailed article on the same, covering how important runtime security is and how to build it for your agent harnesses. The article is quoted below.

Akshay 🚀

27,859 просмотров • 1 месяц назад