Dubai-based threat detection startup SpiderSilk is applying artificial intelligence to the problem of external attack surface discovery. According to a report from Dark Reading, the company's scanner works across billions of IP addresses, hunting for exposed assets, leaked data, and zero-day vulnerabilities.
The AI-driven approach is designed to automate what would otherwise be a massive manual effort. By continuously scanning such a large address space, SpiderSilk aims to surface weaknesses before attackers can exploit them, particularly in the realm of unpatched or unknown vulnerabilities.
While the source provides no technical details on the underlying AI models or scanning methodology, it positions SpiderSilk as part of a growing trend of startups using machine learning to augment external threat intelligence. The company's focus on zero-days suggests a niche in proactive, rather than reactive, security monitoring.