Google DeepMind’s recent publication highlights advancements in Gemini’s security, particularly against indirect prompt injections. The team has implemented a multi-layered defense strategy, including automated red teaming to identify vulnerabilities and model hardening through fine-tuning on datasets designed to counter malicious instructions. The white paper, “Lessons from Defending Gemini Against Indirect Prompt Injections,” details these efforts. Adaptive attacks are considered to ensure defenses remain robust against evolving threats, and the focus is on building inherent resilience within the model. The goal is to make attacks more difficult for adversaries, securing AI agents like Gemini.
https://deepmind.google/discover/blog/advancing-geminis-security-safeguards/