Embroidery blocks custom agent sandbox escapes
Security researcher and Embroidery co-founder Zack Korman shared that his attempts to create an AI agent sandbox escape powerful enough to evade detection have so far failed. While developing material for a ContinuumCon workshop focused on sandbox escapes, Korman observed that his threat detection platform, Embroidery, consistently flagged and blocked the escape attempts he executed within the agent environment.
Hot take: Sandbox isolation alone is insufficient for securing AI agents; runtime threat detection and observability are critical to catching evasion techniques.
- –AI agents equipped with file-system access or tool execution capabilities present dynamic escape vectors that static sandboxes cannot prevent.
- –Behavioral monitoring and telemetry, such as those provided by Embroidery, can reliably capture anomalous actions before they lead to host compromise.
- –Presenting these findings at ContinuumCon underscores the importance of shift-right runtime protection for autonomous AI systems.
DISCOVERED
1h ago
2026-06-12
PUBLISHED
2h ago
2026-06-12
RELEVANCE
AUTHOR
ZackKorman