Zynap AI Agents is a security orchestration and automation platform that uses context-aware AI agents to automate cybersecurity workflows and operations. The platform centers around NINA (Neural Interface for Next-gen Automation), an AI-powered workflow hub where users build, execute, and improve security workflows using natural language. The platform includes three categories of agents: Automation Agents (Data Transformation, Scripting, Summarize, Info Screening), Backend Agents (Builder, Integration), and Investigation Agents (Deep Research, Offensive AI, Enrichment AI, Natural Language Explanation). These agents handle tasks such as generating code from natural language, transforming telemetry data, creating operational scripts, filtering documents, building custom workflows, connecting disparate systems, extracting threat intelligence, performing reconnaissance, enriching threat data, and drafting reports. The system implements a human-in-the-loop approach with confidence scores and expert approval gates to prevent false positives and service disruptions. It supports multiple deployment models including on-premises and multi-cloud LLMs for sensitive data, with encrypted APIs for lighter tasks. The platform includes guardrails and client-defined controls for data privacy and governance. Use cases span threat intelligence operations, offensive security testing, and security operations, with capabilities for improving MTTD and MTTR through context-driven automation. The platform integrates with existing security tools through APIs, webhooks, and custom connectors.