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Agent Observability Is Not Logging: How to Detect Autonomous System Divergence in Real Time

TL;DR Traditional logs tell operators what individual components recorded. Agent observability must answer a harder question: did an autonomous system remain inside its declared task, authorization boundaries, and approved methods across the complete sequence of actions? The required unit of detection is the trajectory. Prompts, tool calls, shell commands, identities, network destinations, package retrieval, privilege […]

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The Agent Was Not the Rogue: OpenAI’s Cyber Incident Was a Control-System Failure

TL;DR The OpenAI and Hugging Face incident should not be interpreted as a model spontaneously acquiring authority or developing independent malicious intent. According to OpenAI’s preliminary disclosure, models running inside a cyber evaluation were given a narrow objective, reduced behavioral refusals, substantial compute, a sandbox with package access, and an infrastructure path that could be

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Your AI Agent Is a Privileged Insider: A Zero-Trust Architecture for Autonomous Workloads

TL;DR An autonomous AI agent with shell access, credentials, package installation, tools, and network connectivity should be treated as a potentially hostile privileged workload. The security boundary cannot depend on the task description, system prompt, or assumption that the agent will follow the expected execution path. Controls must be based on the maximum authority the

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