Invariant Labs offers tools for developers to build secure and dependable AI agents. Their platform provides an observability layer for inspecting agent behavior and a contextual security layer to protect AI applications, enabling the creation of more resilient and trustworthy AI systems.
Funding
Funding not disclosed
Founders
Product
Problem
Developing AI agents often involves challenges in ensuring their security, reliability, and robustness against various threats and unexpected behaviors. This can lead to compromised applications and a lack of trust in AI-driven solutions.
Solution
Invariant Labs provides a suite of tools designed to empower developers in building secure and dependable AI agents. Their platform offers an observability layer for inspecting agent behavior and a contextual security layer to proactively protect AI applications. This enables the creation of more resilient and trustworthy AI systems.
Target Audience
The primary customers are developers and organizations building AI agents who require tools to enhance the security, reliability, and observability of their AI applications.
Features
- **Explorer**: An observability tool for inspecting and analyzing AI agent behavior.
- **Guardrails**: A contextual security layer designed to protect AI agents from vulnerabilities.
- **MCP Scan**: A security scanning tool specifically for Model Context Protocol (MCP) servers.
- **AgentDojo**: A framework for jointly evaluating the security and utility of AI agents.
- **Toxic Flow Analysis (TFA)**: A framework for identifying and mitigating prompt injection vulnerabilities in agentic systems.
- **Invariant Gateway**: A debugging and security layer for agentic applications.