Guardrails
AssessTechniques
Safety and policy controls used to limit harmful model behavior.
Why it's here
Placed in Assess: 3 article(s) of evidence from 2 source(s), led by security coverage, with 1 in the last 30 days. Confidence 48%.
Evidence (3)
- 4InfoQ·10/6/2026product_launchQCon London 2027 Unveils 15 Tracks on Production AI and Engineering at Scale
InfoQ previewed the QCon London 2027 program, which will span 15 tracks focused on production AI, architecture, distributed-systems debugging, modern data platforms, high-performance engineering, and Staff+ leadership. The agenda highlights practical topics such as agent evaluation and guardrails, reflecting current priorities for building and operating large-scale software systems.
- 6Ars Technica AI·7/13/2026securityDefenders use prompt injections to stop AI attack agents
Researchers at Tracebit reported that placing prompt injections next to passwords, cryptographic keys, and other secrets on AWS can sometimes cause AI hacking agents to stop. The injected text tells the model to take an action blocked by its guardrails, which can make the agent shut down instead of continuing the attack.
- 7Ars Technica AI·7/8/2026securityResearchers warn of prompt injection risks in popular AI tools
Ars Technica reports that prompt injection has become a leading security threat for large language models, because models cannot reliably distinguish trusted instructions from malicious content embedded in emails, code, or other third-party data. The article notes that this weakness can let attackers hide commands that an AI system may follow, forcing vendors to rely on guardrails rather than a true boundary between trusted and untrusted inputs.