AI Incident Response

Innovative solutions for effective incident analysis and response strategy generation using AI technology.

Intelligent Response Model

Integrating incident analysis and threat assessment for optimized response strategies and evaluation capabilities.

A padlock sits on a laptop keyboard with glowing red, green, and blue light trails swirling around, creating a sense of security and cyber awareness.

Deep Learning Tools

Developing advanced algorithms for automatic classification, priority assessment, and response recommendations in real-time.

Signage on a wall reads 'Cybercrime Analysis & Research Alliance @ NTU (CARA)' in bold, white letters against a dark, textured surface. A corridor with partial ceiling panels is visible, and there's some greenery in the background.

Innovation

AI-driven solutions for effective incident response and threat management.

A dimly lit desk setup featuring a computer monitor displaying a document titled 'General Hardening Guideline'. The desk has a mechanical keyboard with blue and red keys, a lamp providing light on the right side, and various small items including notes pinned to the wall, a notebook, and a cup. There is a mesh office chair in front of the desk.

A computer screen displays a portion of source code written in a programming language. The code includes comments and conditional statements, with particular emphasis on credential management.

A digital rendering of an electronic circuit board, with a central black chip featuring the text 'CHAT GPT' and 'Open AI' in gradient colors. The background consists of a pattern of interconnected triangular plates, illuminated with a blue and purple glow, adding a futuristic feel.

A close-up view of a red robotic device featuring a prominent handle on top, several controls, and buttons. The design includes caution labels and the branding 'AMYbotics'. The lighting accentuates the machine's surfaces, emphasizing its industrial nature.

My past research has focused on innovative applications of AI security incident response systems. In "Intelligent Security Incident Response Systems" (published in IEEE Transactions on Information Forensics and Security 2022), I proposed a fundamental framework for intelligent incident response. Another work, "AI-driven Security Incident Management" (USENIX Security 2022), explored AI technology applications in incident management. I also led research on "Automated Security Response Optimization" (CCS 2023), which developed an innovative automated response optimization method. The recent "Security Incident Response with Large Language Models" (NDSS 2023) systematically analyzed the application prospects of large language models in security incident response.