Anti-Agent-Agent provides a programmable framework to generate both adversarial and defensive AI agents for conversational models. It automates prompt crafting, scenario simulation, and vulnerability scanning, producing detailed security reports and metrics. The toolkit supports integration with popular LLM providers like OpenAI and local model runtimes. Developers can define custom prompt templates, control agent roles, and schedule periodic tests. The framework logs each interaction, highlights potential weaknesses, and recommends remediation steps to strengthen AI agent defenses, offering an end-to-end solution for adversarial testing and resilience evaluation in chatbot and virtual assistant deployments.

Fyran is an advanced AI chatbot builder that leverages natural language processing and machine learning to help you create custom chatbots using your data. You can upload files in a range of formats, including TXT, PDF, DOCx, MP3, and MP4 (coming soon), and the platform will generate a chatbot capable of answering questions related to that data. Fyran uses the latest advancements in AI to ensure accuracy and efficiency, and it provides robust security measures by hosting your data on Azure and AWS servers.