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.

Motive is an innovative AI-driven telematics platform designed for fleet management. It offers real-time tracking of vehicles, in-depth insights into driver behavior, and vehicle health monitoring. Key features include GPS tracking, engine diagnostics, and driver safety scoring, all of which help fleet managers optimize their operations, reduce costs, and improve safety protocols.