Cybersecurity, Artificial Intelligence
In the last 12 months, 87% of Fortune 1000 companies suffered a third-party breach, with financial implications of up to $1B for a single incident.
Listen to this discussion with Brian Gumbel (President & COO, Dataminr), Dave DeWalt (CEO, NightDragon), & Clark Smith (Global Head of Engineering & Architecture, Citi) on how AI models, combined with public data, can help organizations advance their third-party risk identification and continuous monitoring.
Using real-world examples we’ll cover best practices to:
- Up-level third-party risk strategies by ingesting and using public data
- Incorporate advanced AI models to optimize and automate how large volumes of public data are processed to identify external threats
- Combat and mitigate growing third-party threats with AI and public data
