
Using LLMs to Create Secure Software: AI-Powered Vulnerability Detection
How LLMs Enhance Secure Software Engineering: Detecting Vulnerabilities and Data Privacy Risks Early, for Example in Android Apps.
Topic
AI & Quantum SecurityMobile SecurityData security / DLP / Know-how protectionData protection / GDPR
When & Where
Details
Format:
Lecture
Language:
German
Session description
Eneldo Loza Mencia (Fraunhofer SIT), Felix Kuhlenkamp (Bitkom) Large Language Models open up new possibilities for secure software engineering. This presentation will explore how LLMs can support software analysis and help identify potential vulnerabilities and data protection risks at an early stage. Drawing on current research and practical approaches, it will demonstrate potential applications, such as in the analysis of Android apps and the possible leakage of personal or privacy-sensitive data.
Sponsored by


