Collect first agent research and market sources

2026-07-08 12:08:24 +08:00
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+# Industry: Google DeepMind - AI Control Roadmap for Agents
+
+---
+type: industry
+company: Google DeepMind
+team:
+title: Securing the future of AI agents
+url: https://deepmind.google/blog/securing-the-future-of-ai-agents/
+source_name: Google DeepMind
+source_type: technical-report
+source_quality: official
+published_at:
+collected_at: 2026-07-08
+status: analyzed
+topics:
+  - agent-safety
+  - agent-security
+  - governance
+implementation_signals:
+  - defense-in-depth
+  - sandboxing
+  - permission-control
+  - prompt-injection-resistance
+product_area:
+  - internal-agents
+  - enterprise-agent
+models:
+  -
+tools:
+  -
+benchmarks:
+  -
+related_papers:
+  - 2025-vijayvargiya-openagentsafety
+  - 2026-agent-safety-benchmark-taxonomy
+related_jobs:
+  - 2026-07-08-tencent-cloud-ai-agent-test-engineer
+related_experiments:
+  -
+related_projects:
+  -
+evidence_level: high
+relevance: high
+---
+
+## One-line Takeaway
+
+Agent 安全需要把内部 Agent 当作潜在 insider threat 来设计权限、沙箱和逐步授权。
+
+## What They Built or Claimed
+
+Google DeepMind 介绍 AI Control Roadmap，用 defense-in-depth 保护 Google 内部系统，应对能力增强但不完美对齐的 Agent。
+
+## Technical Signals
+
+- architecture: alignment + system-level AI control + cybersecurity-style threat modeling。
+- tool use:
+- memory:
+- evaluation: 通过行为验证逐步授予权限。
+- safety: sandboxing、endpoint security、prompt injection resistance、权限分层。
+- deployment: 内部 Agent 系统治理。
+- data:
+
+## Evidence Quality
+
+官方技术/治理材料，适合作为 Agent 安全架构参考。
+
+## Gaps for Us
+
+- 需要把 Agent 权限分层写入实践 playbook。