We've tested and adversarially probed models from:
We test how users can exploit GPTs, Copilots, Claude, or Gemini via prompt chaining, tool misuse, or data injection. Our comprehensive testing reveals vulnerabilities in your AI applications before they become business risks.
View MoreRoleplay exploits, content filters bypasses, obfuscation attacks — we simulate how adversaries operate. Our team creates reproducible attack chains that test the boundaries of your AI system's safety measures.
View MoreWe provide reproducible attack chains, response diffing, annotation and mitigation strategies. Our behavior audits help you understand how your model responds to different types of adversarial inputs.
View MoreWe analyze plugin chaining, API flooding potential, logic bypasses and security claims. Our thorough testing identifies potential misuse cases in your AI system's integrations and connected tools.
View MoreEaglesfield Adversarial AI was established by Sarah Eaglesfield to help organizations understand and mitigate the risks associated with deploying language models. Based in the UK but operating globally, we've worked with clients to secure their AI applications against adversarial attacks and ensure safe deployment.
Securing your AI applications doesn't have to be expensive. We offer fixed-scope audits or long-term safety testing. Our services include: