Realm Labs Shows Agentic Control Plane

// 1h agoVIDEO

Realm Labs Shows Agentic Control Plane

Realm Labs demonstrated an agentic control plane that identifies overprivileged or misaligned agents, traces agent identity, and blocks harmful actions at runtime. Its Deep Neural Inspection technology analyzes model internals to detect risky intent before tool calls execute.

// ANALYSIS

Runtime controls are becoming essential as agents gain access to sensitive systems; output filters alone are too late.

–Deep Neural Inspection aims to detect intent before harmful actions reach production systems
–Identity tracing and least-privilege policies address the confused-deputy risks of autonomous agents
–Inline enforcement could complement existing observability, guardrails, and audit tooling
–The approach is promising, but real-world detection accuracy and deployment overhead will determine adoption

// TAGS

realm-labsagentsecurityguardrailsobservabilityinterpretability

DISCOVERED

1h ago

2026-11-04

PUBLISHED

2h ago

2026-11-04

RELEVANCE

8/ 10

AUTHOR

temporalio

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