Adversarial prompting
Deliberately craft inputs designed to elicit failure — confusion, unsafe output, or broken constraints — to map the model's weak boundaries.
Published June 26, 2026
How it works
Adversarial prompting probes a model the way an attacker (or an unlucky user) would: misleading framings, conflicting instructions, edge-case phrasings, and pressure to violate stated rules. It is the workhorse for surfacing safety and robustness issues that benign testing never reaches.
When to use it
Robustness and safety assessment; before shipping anything user-facing or agentic.
Limitations
Coverage depends on tester creativity; results can be hard to reproduce due to stochasticity. Pair with a repro protocol (hit rate over N attempts).
Cite this
Qlarify Labs. (2026). Adversarial prompting. Retrieved from https://labs.qlarify.fi/catalog/adversarial-prompting