LLM Safety Assessment: the Definitive Guide on Avoiding Risk and Abuses

The rapid adoption of large language models (LLMs) has changed the threat landscape and left many security professionals concerned with expansion of the attack surface. What are the ways that this technology can be abused? Is there anything we can do to close the gaps?

In this new report from Elastic Security Labs, we explore the top 10 most common LLM-based attacks techniques — uncovering how LLMs can be abused and how those attacks can be mitigated.

Download the report

MarketoFEForm

By submitting you acknowledge that you've read and agree to our Terms of Service, and that Elastic may contact you about our related products and services, using the details you provide above. See Elastic’s Privacy Statement for more details or to opt-out at any time.