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    NVIDIA OpenShell Brings Security Sandbox to Autonomous AI Agents

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    Terrill Dicki
    Mar 23, 2026 15:45

    NVIDIA’s new open-source OpenShell runtime creates isolated sandboxes for AI agents, partnering with Cisco, CrowdStrike, and Microsoft on enterprise security.





    NVIDIA has released OpenShell, an open-source runtime designed to lock down autonomous AI agents through kernel-level isolation and policy enforcement. The Apache 2.0-licensed tool addresses a growing problem: AI agents that can read files, execute code, and modify systems also represent significant security liabilities.

    The core innovation here is separating what an agent wants to do from what it’s allowed to do. OpenShell sits between the AI and the operating system, using Linux Landlock LSM to create sandboxed environments where agents operate under strict constraints they cannot override—even if compromised.

    How It Actually Works

    Think of it like browser tabs for AI agents. Each agent runs in its own isolated session with controlled resources and verified permissions. Security policies are defined in YAML or JSON files at the system level, governing access down to specific binaries, network endpoints, and file paths.

    The runtime also intercepts model API calls, letting organizations route inference traffic to private backends without touching the agent’s code. This handles both security and cost control in one layer.

    What makes OpenShell practical for enterprise adoption: it’s agent-agnostic. It works with Claude Code, OpenAI’s Codex, and Cursor out of the box. No SDK rewrites required.

    The Partner Ecosystem

    NVIDIA isn’t going solo on this. The company has lined up Cisco, CrowdStrike, Google Cloud, Microsoft Security, and TrendAI to align runtime policy management across enterprise stacks. That’s a serious coalition for what’s essentially infrastructure-level AI governance.

    Alongside OpenShell, NVIDIA released NemoClaw—a reference stack for building personal AI assistants that bundles OpenShell with Nemotron models. It runs on everything from GeForce RTX laptops to DGX Station supercomputers, giving developers a template for self-evolving agents with customizable security guardrails.

    Why This Matters Now

    Autonomous agents represent a genuine inflection point in enterprise AI risk. These systems don’t just generate text—they execute workflows, write code, and continuously improve their own capabilities. Traditional prompt-based safety measures fall apart when agents can potentially override them.

    OpenShell’s approach of enforcing constraints at the infrastructure layer rather than the application layer addresses this directly. The agent literally cannot leak credentials or access restricted files because the sandbox prevents it, regardless of what the model tries to do.

    Both OpenShell and NemoClaw remain in early preview. Developers can access ready-to-use environments on NVIDIA Brev or grab the code from GitHub. For enterprises scaling autonomous AI deployments, this represents the first serious attempt at standardized security controls—though real-world testing will determine whether the sandbox holds up under adversarial conditions.

    Image source: Shutterstock


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    Crypto ETP Inflows Slow to $230 Million After Fed Meeting

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    Crypto investment products maintained their inflow streak last week but momentum slowed amid ongoing Middle East tensions and a “hawkish pause” interpretation of the US Fed’s meeting.

    Crypto exchange-traded products (ETPs) recorded $230 million in inflows last week, with $405 million in outflows following the Federal Open Market Committee (FOMC) meeting in the US, CoinShares reported Monday.

    The inflows extended the streak to four consecutive weeks, but the latest total was sharply lower than the previous week’s $1.06 billion.

    CoinShares head of research James Butterfill largely attributed the slowdown to the market’s “hawkish pause” interpretation of the US Federal Reserve’s Wednesday meeting, rather than broader geopolitical tensions.

    “The intra-week data supports this,” Butterfill said, referring to strong inflows in the first two days of the week before reversing sharply in the wake of the FOMC meeting.

    Bitcoin funds lead inflows, while Ether reverses

    Bitcoin (BTC) accounted for nearly all of last week’s crypto ETP inflows, posting $219.2 million in gains. Ether (ETH) funds saw $27.5 million in outflows, ending a three-week inflow streak.

    Solana (SOL) saw $17 million in inflows for the seventh straight week, bringing the total to $136 million and making it one of the most popular ETP assets in recent months.

    Crypto ETP flows by asset (in millions of US dollars). Source: CoinShares

    Additionally, notable gains came from Chainlink (LINK) and Hyperliquid (HYPE), with inflows netting $4.6 million and $4.5 million, respectively.

    Related: NYSE exchanges scrap crypto options cap on 11 Bitcoin, Ether ETFs

    Crypto ETPs have clocked $1.4 billion of inflows year-to-date, with Bitcoin ETPs leading at $1.2 billion. Total assets under management stand at $138 billion, according to CoinShares.

    US spot Bitcoin ETFs account for 43% of gains

    About half of Bitcoin ETP inflows were driven by the US spot Bitcoin exchange-traded funds (ETFs) last week, which ended the week with $95.2 million in inflows.

    The inflows marked four consecutive weeks of gains totaling $2.2 billion, according to SoSoValue data. Despite the gains, spot Bitcoin ETFs remain underwater year-to-date, with roughly $400 million in outflows.

    Weekly flows in spot Bitcoin ETFs since February. Source: SoSoValue

    Similar to broader investment products, US spot Ether ETFs failed to maintain the inflow streak after three weeks of inflows, with last week’s outflows totaling around $60 million.

    The US spot Ether ETFs have seen $599 million in outflows year-to-date, while broader ETPs were roughly $50 million underwater.

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