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Research: Agent Security Requires Context, Not Content Filtering

2026-07-27 15:10 UTC · arXiv cs.CR · read the source ↗ #ai-agents#prompt-injection#research
  • Engineer — Learn: The paper’s four-property model (Source Authorization, Task Alignment, Action Alignment, Data Isolation) offers a useful design lens for teams building agentic systems, but no running system requires a change today — absorb when designing agent authorization boundaries.
  • SOC/IR — Learn: Reframing indirect prompt injection as a Source Authorization violation is a useful mental model for thinking about what agent behaviors to monitor, but the paper yields no IOCs, detection rules, or hunt queries.
  • Leader — Skip
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