The tool aims to address the challenges faced by smaller organizations struggling with traditional threat modeling approaches that are often complex and resource-intensive. By employing generative AI, AegisShield can efficiently automate the generation of threats, providing users with a more accessible and manageable framework for understanding potential vulnerabilities.
AegisShield’s use of up-to-date data from sources like the National Vulnerability Database significantly enhances its threat assessments. The results from various case studies indicate a high level of accuracy in mapping generated threats to established MITRE ATT&CK techniques, thus offering implications for better security practices in resource-limited settings. This approach not only democratizes access to sophisticated threat modeling but also encourages early risk intervention, reinforcing the importance of security in the development process.
👉 Pročitaj original: arXiv AI Papers
