According to OpenAI, prompt injections are a frontier security challenge for AI systems, and the company details how these attacks work while advancing research, training models, and building safeguards for users (source: OpenAI). According to OpenAI, these efforts define a mitigation roadmap centered on research updates, model improvements, and product-level protections to reduce prompt-injection risk in production AI systems (source: OpenAI).

According to AI at Meta, LlamaCon 2025 introduced significant advancements in AI security with the launch of open-source Llama protection tools, including Llama Guard 4. Llama Guard 4 offers customizable safeguards for both text and image data, which is crucial for developers integrating AI into financial trading systems. These tools enhance the integrity and security of AI-powered trading algorithms by providing robust defense mechanisms against data manipulation and adversarial attacks (source: @AIatMeta, Twitter, April 29, 2025). The open-source nature allows for rapid adoption and community-driven improvements, benefiting traders and institutions focused on secure, compliant AI deployments.