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Darktrace Events

IoT sotto attacco: contrastare i zero-day con l'AI informatica

Thursday May 20, 2021
15:30 - 16:00 CEST (UTC +2)

Italian (in italiano)

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Ransomware in Focus

Thursday May 20, 2021
11:00 - 11:30 AEST (UTC +10)

As today’s workforce norms and technical innovations are rapidly evolving, ransomware attacks are adapting to become increasingly sophisticated and widespread. The automated elements of these attacks, malware that moves faster than security teams can respond, is one of the most damaging hallmarks of these ransomware campaigns.

Join Sarah Jarman (Team Lead, Australia) as she unpacks the nuances of some of today’s most costly and advanced ransomware and shares how self-learning AI uniquely empowers organizations across industries to fight back. Including real-world case studies on Dharma, Sodinokibi and LeChiffre Ransomware.

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IoT bajo ataque: Cómo impedir ataques de día cero con Cyber AI

Tuesday May 25, 2021
16:00 - 16:30 CEST (UTC +2)

Spanish (en español)

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Dissecting the Hafnium Attack and Thwarting Zero-Days with Cyber AI

Tuesday May 25, 2021
15:00 - 15:45 BST (UTC +1)

The Microsoft Exchange server attack carried out by Hafnium has once again highlighted the failure of signature-based tools in detecting advanced zero-day attacks. With over 250,000 servers believed to have been compromised, there are important lessons to be learnt on how organizations protect themselves.

In the aftermath of the attack, join Max Heinemeyer (Darktrace’s Director of Threat Hunting) as he uncovers how Darktrace’s AI detected and neutralized a Hafnium attack back in December 2020 – months before public attribution.

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Analyse der Hafnium-Attacke und Vereiteln von Zero Days mit Cyber-KI

Wednesday May 26, 2021
14:00 - 14:45 CEST (UTC +2)

German (auf Deutsch)

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IoT Under Attack: Thwarting Zero-Days with Cyber AI

Tuesday June 8, 2021
14:30 - 15:00 BST (UTC +1)

Join Florine van den Biggelaar and Elliot Stocker (Account Directors) as they discuss the challenges of securing IoT devices, and share how Cyber AI is able to detect and autonomously respond to the full range of IoT threats in their earliest stages.

This session includes a live Q&A.

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