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AI-Generated Cyber Threats

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Contenuto fornito da Palo Alto Networks and N2K Networks, Palo Alto Networks, and N2K Networks. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Palo Alto Networks and N2K Networks, Palo Alto Networks, and N2K Networks o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In this episode of Threat Vector, hosted by David Moulton, Director of Thought Leadership at Unit 42, we delve into the evolving world of AI-generated malware with our expert guests, Rem Dudas, Senior Threat Intelligence Analyst, and Bar Matalon, Threat Intelligence Team Lead. Together, they uncover the groundbreaking research and experiments their team has conducted on the capabilities of generative AI to create sophisticated malware. From exploring the vulnerabilities in AI models to discussing the potential implications for cybersecurity, this episode offers a deep dive into the challenges and opportunities posed by this emerging threat. Listeners will gain invaluable insights into how AI is reshaping the threat landscape and what measures can be taken to stay ahead in this dynamic field.


Join the conversation on our social media channels:

About Threat Vector

Unit 42 Threat Vector is the compass in the world of cyberthreats. Hear about Unit 42’s unique threat intelligence insights, new threat actor TTPs, real-world case studies, and learn how the team works together to discover these threats. Unit 42 will equip listeners with the knowledge and insight to proactively prepare and stay ahead in the ever-evolving threat landscape.

Palo Alto Networks

Palo Alto Networks enables your team to prevent successful cyberattacks with an automated approach that delivers consistent security across the cloud, network, and mobile. ⁠http://paloaltonetworks.com⁠

  continue reading

33 episodi

Artwork
iconCondividi
 
Manage episode 432512883 series 3591118
Contenuto fornito da Palo Alto Networks and N2K Networks, Palo Alto Networks, and N2K Networks. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Palo Alto Networks and N2K Networks, Palo Alto Networks, and N2K Networks o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In this episode of Threat Vector, hosted by David Moulton, Director of Thought Leadership at Unit 42, we delve into the evolving world of AI-generated malware with our expert guests, Rem Dudas, Senior Threat Intelligence Analyst, and Bar Matalon, Threat Intelligence Team Lead. Together, they uncover the groundbreaking research and experiments their team has conducted on the capabilities of generative AI to create sophisticated malware. From exploring the vulnerabilities in AI models to discussing the potential implications for cybersecurity, this episode offers a deep dive into the challenges and opportunities posed by this emerging threat. Listeners will gain invaluable insights into how AI is reshaping the threat landscape and what measures can be taken to stay ahead in this dynamic field.


Join the conversation on our social media channels:

About Threat Vector

Unit 42 Threat Vector is the compass in the world of cyberthreats. Hear about Unit 42’s unique threat intelligence insights, new threat actor TTPs, real-world case studies, and learn how the team works together to discover these threats. Unit 42 will equip listeners with the knowledge and insight to proactively prepare and stay ahead in the ever-evolving threat landscape.

Palo Alto Networks

Palo Alto Networks enables your team to prevent successful cyberattacks with an automated approach that delivers consistent security across the cloud, network, and mobile. ⁠http://paloaltonetworks.com⁠

  continue reading

33 episodi

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