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Microsoft's Digital Defense Report for 2023 provides insights into the state of cybercrime, critical cybersecurity challenges, and the importance of IoT and OT security. The report highlights Microsoft's investment in security research and innovation, as well as the need for partnerships and collaboration in the cybersecurity community. Key takeaways include the importance of multi-factor authentication, zero trust principles, and vulnerability management. The report also emphasizes the need for comprehensive OT patch management systems and the use of AI-powered security tools and large language models. In this conversation, Adam Brewer and Andy Jaw discuss the capabilities of large language models (LLMs) and their potential applications in cybersecurity. They highlight how LLMs can synthesize and understand human language, making them valuable tools for security analysts. The conversation also touches on the importance of the Digital Defense Report, which provides comprehensive insights into cybercrime and IoT/OT security. The hosts encourage listeners to explore the report for a deeper understanding of the current threat landscape. The episode concludes with closing remarks and well wishes for the holiday season.
Youtube Video Link: https://youtu.be/dZtD3dspMLA
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Documentation:
https://www.microsoft.com/en-us/security/security-insider/microsoft-digital-defense-report-2023
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Contact Us:
Website: https://bluesecuritypod.com
Twitter: https://twitter.com/bluesecuritypod
Threads: https://www.threads.net/@bluesecuritypodcast
Linkedin: https://www.linkedin.com/company/bluesecpod
Youtube: https://www.youtube.com/c/BlueSecurityPodcast
Twitch: https://www.twitch.tv/bluesecuritypod
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Andy Jaw
Mastodon: https://infosec.exchange/@ajawzero
Twitter: https://twitter.com/ajawzero
LinkedIn: https://www.linkedin.com/in/andyjaw/
Email: [email protected]
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Adam Brewer
Twitter: https://twitter.com/ajbrewer
LinkedIn: https://www.linkedin.com/in/adamjbrewer/
Email: [email protected]
4.7
1414 ratings
Microsoft's Digital Defense Report for 2023 provides insights into the state of cybercrime, critical cybersecurity challenges, and the importance of IoT and OT security. The report highlights Microsoft's investment in security research and innovation, as well as the need for partnerships and collaboration in the cybersecurity community. Key takeaways include the importance of multi-factor authentication, zero trust principles, and vulnerability management. The report also emphasizes the need for comprehensive OT patch management systems and the use of AI-powered security tools and large language models. In this conversation, Adam Brewer and Andy Jaw discuss the capabilities of large language models (LLMs) and their potential applications in cybersecurity. They highlight how LLMs can synthesize and understand human language, making them valuable tools for security analysts. The conversation also touches on the importance of the Digital Defense Report, which provides comprehensive insights into cybercrime and IoT/OT security. The hosts encourage listeners to explore the report for a deeper understanding of the current threat landscape. The episode concludes with closing remarks and well wishes for the holiday season.
Youtube Video Link: https://youtu.be/dZtD3dspMLA
-------------------------------------------
Documentation:
https://www.microsoft.com/en-us/security/security-insider/microsoft-digital-defense-report-2023
----------------------
Contact Us:
Website: https://bluesecuritypod.com
Twitter: https://twitter.com/bluesecuritypod
Threads: https://www.threads.net/@bluesecuritypodcast
Linkedin: https://www.linkedin.com/company/bluesecpod
Youtube: https://www.youtube.com/c/BlueSecurityPodcast
Twitch: https://www.twitch.tv/bluesecuritypod
-------------------------------------------
Andy Jaw
Mastodon: https://infosec.exchange/@ajawzero
Twitter: https://twitter.com/ajawzero
LinkedIn: https://www.linkedin.com/in/andyjaw/
Email: [email protected]
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Adam Brewer
Twitter: https://twitter.com/ajbrewer
LinkedIn: https://www.linkedin.com/in/adamjbrewer/
Email: [email protected]
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