BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//DevOps.com - ECPv5.16.4//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:DevOps.com
X-ORIGINAL-URL:https://devops.com
X-WR-CALDESC:Events for DevOps.com
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230531T110000
DTEND;TZID=America/New_York:20230531T120000
DTSTAMP:20260805T134533
CREATED:20230412T084443Z
LAST-MODIFIED:20240206T202206Z
UID:159949-1685530800-1685534400@devops.com
SUMMARY:­Security in AI
DESCRIPTION:The proliferation of new machine learning and AI tools has expanded attack surfaces and introduced new ways to exploit systems. Within days of OpenAI’s generative AI tool ChatGPT coming online\, people managed to exploit it to get around rules\, run virtual machines\, execute code\, write malware and more. New machine learning models are more powerful than ever\, and while AI/ML can be a powerful tool to fight against cyberattacks\, bad actors are simultaneously using it to launch sophisticated attacks. The next decade will see an arms race between attackers and defenders\, both assisted by AI/ML-enabled systems. In this episode\, we dig into how and why.
URL:https://devops.com/webinars/security-in-ai/
LOCATION:Live Webinar\, Boca Raton\, FL\, United States
CATEGORIES:Techstrong Learning Webinar
ATTACH;FMTTYPE=image/png:https://devops.com/wp-content/uploads/2023/04/OnDemand-2023.05.31-AIIA-1540-×-660-LandingPage.png
ORGANIZER;CN="DevOps.com":MAILTO:webinars@devops.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230531T130000
DTEND;TZID=America/New_York:20230531T140000
DTSTAMP:20260805T134534
CREATED:20230429T020045Z
LAST-MODIFIED:20230531T184620Z
UID:160631-1685538000-1685541600@devops.com
SUMMARY:Log Data Overload: How to Get More Out of Your Log Data
DESCRIPTION:The trend toward increasing log data is continuing. According to a study by Splunk\, 68% of organizations have seen an increase in the volume of machine-generated data over the past two years. And the trend is accelerating. The growth in application log data is increasingly driven by using cloud-based applications and microservices architectures. How do we deal with all this data so that the value grows with the volume? Brandon Shelton\, solutions architect and Kevin Woods\, product marketing director at Mezmo\, discuss new approaches and trends in log management.
URL:https://devops.com/webinars/log-data-overload-how-to-get-more-out-of-your-log-data-2/
LOCATION:Live Webinar\, Boca Raton\, FL\, United States
ATTACH;FMTTYPE=image/png:https://devops.com/wp-content/uploads/2023/04/OnDemand-2023.05.31-Mezmo-DO-LandingPage-1540x660-1.png
ORGANIZER;CN="DevOps.com":MAILTO:webinars@devops.com
END:VEVENT
END:VCALENDAR