Agentic Security is an open source vulnerability scanning tool designed for Large Language Models (LLMs), built by the development team to address the novel security challenges facing AI systems. As a cutting-edge tool in the current AI security field, its core design goal is to help developers identify and fix potential security vulnerabilities in LLM systems by simulating real attack scenarios.
The tool achieves security through two main technological paths: first, theComprehensive fuzzy testing capabilitiesthat enables multi-dimensional anomalous input testing of the LLM system; ii.Proxy-based attack simulation, which can restore complex threat scenarios including multi-step attacks. Note that the tool developers make it clear that while it can significantly improve system security, it cannot guarantee 100% protection against all possible threats.
In terms of design philosophy, Agentic Security places special emphasis onFlexible and scalableIt supports user-defined rule sets, import of proprietary datasets, and deep integration with various LLM APIs, which makes it adaptable to a wide range of security requirement scenarios from basic research to enterprise-level applications.
This answer comes from the articleAgentic Security: open source LLM vulnerability scanning tool that provides comprehensive fuzz testing and attack techniquesThe
