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BEGIN:VEVENT
UID:https://www.brighttalk.com/webcast/10357/667979
DTSTAMP:20260521T202047Z
ORGANIZER:MAILTO:noreply@brighttalk.com
LOCATION:BrightTALK
URL:https://www.brighttalk.com/webcast/10357/667979?utm_campaign=user_
 webcast_register&utm_medium=calendar&utm_source=brighttalk-transact
DTSTART:20260610T010000Z
DTEND:20260610T020004Z
SUMMARY:Live webcast: Rethinking Cloud Breach Economics: Preemptive Cl
 oud Security with AWS and Infoblox
DESCRIPTION:Click here to attend: https://www.brighttalk.com/webcast/1
 0357/667979?utm_campaign=user_webcast_register&utm_medium=calendar&utm
 _source=brighttalk-transact\n\nPresenter: Amish Shah and Ben Fischer\n
 \nCloud breaches are getting more expensive and harder to contain: the
  average incident now costs around USD 4.9M and can take roughly 9 mon
 ths to fully resolve, with costs climbing even higher when attackers r
 emain undetected for more than 200 days. In this joint session with Am
 ish Shah from AWS and experts from Infoblox, we’ll unpack the economic
 s behind that trend, explain why traditional “detect and respond” appr
 oaches struggle in modern cloud environments, and show what a more pre
 emptive model looks like in practice. You’ll learn practical ways to m
 ove controls closer to where attacks start—using signals like DNS and 
 curated managed rules—and walk away with concrete steps to shorten bre
 ach lifecycles, cut alert noise, and build a stronger business case fo
 r investing in controls that stop attacks before they become incidents
 . \n\nWhy attend \n- Understand how shifting cloud breach economics ar
 e reshaping security priorities and investment decisions. \n- See why 
 “detect and respond” alone falls short in modern cloud environments—an
 d what a preemptive model looks like in the real world. \n- Learn how 
 to move controls closer to where attacks start using signals like DNS 
 and curated managed rules. \n- Get concrete steps to shorten breach li
 fecycles, cut alert noise, and build a stronger business case for pree
 mptive security controls.
SEQUENCE:1779903912
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