Anomali Copilot acts as an intelligent assistant for cybersecurity teams, leveraging advanced AI and natural language processing to assist in the evaluation of threats. It enables users at any skill level to conduct complex analyses of cybersecurity data. By automating the detection of imminent threats and providing contextual intelligence, it helps organizations remain vigilant against potential cyber risks. This tool not only enhances individual performance but also enables broader team collaboration, streamlining workflows within Security Operations Centers (SOCs).

BambooAI combines a collection of modular Python libraries, utilities, and templates designed to streamline the creation and deployment of autonomous AI agents. At its core, BambooAI provides flexible memory architectures—vector databases, ephemeral caches—and configurable retrieval mechanisms for RAG workflows. Developers can easily integrate tools like web search, Wikipedia lookups, file operations, database queries, and Python code execution. The framework supports major LLM APIs (OpenAI, Anthropic) as well as local model hosting. Agents can be orchestrated via a simple CLI, a RESTful service, or embedded within applications. Logging, monitoring, and error recovery features ensure reliability in production. Community-driven extensions and plugin systems make BambooAI extensible for custom domains and workflows.