Home Resources Rising Third-party Risk: Public Data Combined With Advanced AI Is the Answer
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Rising Third-party Risk: Public Data Combined With Advanced AI Is the Answer

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.

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
August 28, 2024
  • Cybersecurity
  • Artificial Intelligence
  • Cyber Risk
  • Video

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