#ai-in-security

#ai-in-security

A comprehensive survey of 282 security leaders at companies across industries reveals a stark reality facing modern Security Operations Centers: alert volumes have reached unsustainable levels, forcing teams to leave critical threats uninvestigated. You can download the full report here. The research, conducted primarily among US-based organizations, shows that AI adoption in security operations has shifted from experimental to essential as teams struggle to keep pace with an ever-growing stream of security alerts.

Pre-trained AI models in the SOC are typically developed by training machine learning algorithms on historical data from specific security use cases, such as phishing detection, endpoint malware alerts, and the like.

"Web browsers have become one of the enterprise's most exploited attack surfaces," said Ilan Yeshua, CEO and co-founder of Seraphic Security. "With Browser Total, we're giving security leaders a powerful, transparent way to visualize their organization's browser's security risks..."

Before automation, creating tickets for 45 vulnerabilities took about 150 minutes of work. After automation, the time needed for the same number of tickets dropped to around 60 minutes.