Research
Scaling Adaptive Prompt Injection Attacks with Agent Swarms
Publication date unknown · Discovered arxiv.org
Page published
Publication date unknown · First observed: 11 Nov 2026
Coverage timeline
Single-source research — one report is available.
Why it matters
The adaptive prompt-injection study suggests defenders should test agents against automated, evolving attackers rather than treat strong static-benchmark performance as evidence of robust tool-output isolation.
Google DeepMind researchers report that increasingly capable agentic attackers can induce models to follow instructions embedded in tool outputs, including models considered robust on public prompt-injection benchmarks. Their synthetic evaluation uses random, non-malicious adversarial goals to distinguish instruction-hierarchy enforcement from knowledge of security practices.