Operant AI

Operant AI is a comprehensive AI security tool. It provides real-time defense solutions to protect AI ecosystems from threats like prompt injection, data exfiltration, and vulnerabilities. It focuses on securing AI agents, APIs, and multiple control points (MCP) by offering ways such as discovery, detection, and defense of AI attacks while ensuring data privacy via auto-redaction and private mode operation.

Operant AI protects against AI attacks by employing several protective features. It offers the AI Gatekeeper for real-time security of AI applications and agents, the Agent Protector for the security in the 'Agentic AI Era', 3D Runtime Defense for API and cloud protection for Kubernetes-native stacks. Additionally, it uses 'Woodpecker Red Teaming' to simulate real attacks safely and provides API Threat Protection which offers real-time detection and defense for third-party API endpoints and internal connections.

The 'Agentic AI Era' refers to a future time when AI systems function as agents conducting specific tasks autonomously. In this era, Operant AI provides security through the Agent Protector. This feature is designed to deal with threats specific to autonomous AI agents, ensuring the protection and integrity of these systems in real time.

The AI Gatekeeper is a feature of Operant AI that provides real-time protection for AI applications and agents. It monitors activities and responds to potential threats promptly, ensuring the ongoing integrity and security of AI systems.

Operant AI secures MCP (Multiple Control Points) by providing real-time visibility and controls of every MCP including servers, clients, tools, and connections in the environment. Its MCP Security also makes MCP registries, white list/black lists, and NHI access controls robust, thereby ensuring safe and quick development of AI and Agents.