It is also worth remembering that compute isolation is only half the problem. You can put code inside a gVisor sandbox or a Firecracker microVM with a hardware boundary, and none of it matters if the sandbox has unrestricted network egress for your “agentic workload”. An attacker who cannot escape the kernel can still exfiltrate every secret it can read over an outbound HTTP connection. Network policy where it is a stripped network namespace with no external route, a proxy-based domain allowlist, or explicit capability grants for specific destinations is the other half of the isolation story that is easy to overlook. The apply case here can range from disabling full network access to using a proxy for redaction, credential injection or simply just allow listing a specific set of DNS records.
Mass domestic surveillance. We support the use of AI for lawful foreign intelligence and counterintelligence missions. But using these systems for mass domestic surveillance is incompatible with democratic values. AI-driven mass surveillance presents serious, novel risks to our fundamental liberties. To the extent that such surveillance is currently legal, this is only because the law has not yet caught up with the rapidly growing capabilities of AI. For example, under current law, the government can purchase detailed records of Americans’ movements, web browsing, and associations from public sources without obtaining a warrant, a practice the Intelligence Community has acknowledged raises privacy concerns and that has generated bipartisan opposition in Congress. Powerful AI makes it possible to assemble this scattered, individually innocuous data into a comprehensive picture of any person’s life—automatically and at massive scale.，更多细节参见WPS下载最新地址
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