Skip to content
EventMonitoring

CapLite: Prompt Injection Defense Without Model-Written Security Artifacts

1 reports1 reporting sourcesLatest report

Start here

AI overview

The paper proposes CapLite, a prompt injection defense method for small language model agents that does not require the agent model to write security artifacts itself. The authors state that enforcement-based defenses such as CaMeL, Progent, IPIGuard, and DRIFT require the agent's own model to write programs, permission policies, dependency graphs, or constraint lists, which are then executed by code; testing on 15 open-weight models (13 of which have 1.7B to 12B parameters) found that the policies, graphs, and constraints written by the models made 14, 13, and 11 models exploitable by attacks under Progent, IPIGuard, and DRIFT, respectively, and that CaMeL's programs failed to run in up to 68% of turns. CapLite derives policies from tool schemas, commits write calls before any tool result is read, and allows a write only when every parameter that determines the object affected by the write is explicitly stated in the user request, thereby guaranteeing write integrity, so that injected text cannot add write operations, and write operations cannot reach recipients, amounts, objects, or destinations not specified by the user.

Generated by AI from reports · Updated 2 days ago

Attention and developments

Attention, hourly

Now 37, -1% in 24 hours·Peak 39 (Nov 13 18:00)

Nov 14Nov 15Now 37

Related research

This event's paper

Progress timeline

Nov 13
  1. arXiv: Jailbreaks, Prompt Injection, Poisoning & Defenses
    CapLite: Prompt injection defense for small language model agents that requires no model-written security artifacts

    The paper proposes CapLite, a prompt injection defense method for small language model agents that requires no security artifacts written by the agent model itself. Enforcement-based defenses such as CaMeL, Progent, IPIGuard, and DRIFT require the agent's own model to write programs, permission policies, dependency graphs, or constraint lists, which are then executed by code; the authors tested on 15 open-weight models (13 of which have 1.7B to 12B parameters) and found that the policies, graphs, and constraints written by the models made 14, 13, and 11 models respectively exploitable by attacks under Progent, IPIGuard, and DRIFT, and that CaMeL's programs failed to run in up to 68% of turns. CapLite derives policies from tool schemas, commits write calls before any tool result is read, and allows a write only when every parameter that determines the object affected by the write is explicitly stated in the user request, thereby guaranteeing write integrity: injected text cannot add write operations, and write operations cannot reach recipients, amounts, objects, or destinations the user did not specify.

Related discussion

No discussion links have been collected for this event yet.

Attention trend

New sources per day

1 in 3 days·most 1 (Nov 13)·today 0

  • Nov 13: 1 new sources (1 outlets, 0 accounts)
  • Nov 14: 0 new sources (0 outlets, 0 accounts)
  • Nov 15: 0 new sources (0 outlets, 0 accounts)

Hourly attention

Current attention 37·Peak in the comparable period 39 (Nov 13 18:00)·Change over the comparable past 24 hours -1%

010203040Nov 1318:00Nov 1410:00Nov 1502:00Nov 1518:00