Dataminr

Field CISO

Jack Carraway 200 x 200 Colo

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With third-party risks increasingly impacting business continuity and security, relying on traditional monitoring approaches is no longer enough. Public data holds critical early-warning signals, but extracting actionable insights from public data in real-time can be overwhelming. That’s where AI comes in. In this webcast, we’ll discuss:



 Why Third-Party Risk is Growing: • Increased reliance on complex supply chains and external partners. • The challenge of monitoring vendor ecosystems for emerging threats. • Attackers have discovered the ‘one-to-many’ benefits of targeting third parties.



 How AI Transforms Third-Party Risk Management: • Real-time identification of vendor exposure through public data. • Faster response to threats impacting subsidiaries and supply chains.



Join us to learn how security teams can leverage AI to spot hidden risks across their third-party network and strengthen their organization’s resilience.
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AI/ML

Cybercast

Archived: Leveraging AI and Public Data to Gain Control Over Third-Party Risk

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Security teams today are inundated with data but lack actionable insights. The rise of public data sources—ranging from social media and blogs to leaked databases and dark web forums—offers new opportunities for real-time threat detection and risk management. But with this wealth of information come significant challenges: noisy data, false positives, and the need for rapid context. In this webcast, we’ll explore: The Key Challenges:



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<li>The struggle to sift through noisy and unstructured public data.</li>



<li>Overload from false positives that slow down response times.</li>



<li>Gaps in context that hinder risk prioritization.</li>
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What Security Teams Will learn:



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<li>Best practices to filter relevant signals and eliminate noise.</li>



<li>Integrating public data into existing SIEM and SOAR workflows.</li>



<li>Strategies to turn external intelligence into timely, actionable insights.</li>
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