The Impact of Autonomous Security in Today’s Threat Landscape
summary
Oracle and KPMG’s survey of 450 security practitioners (100 in APAC) claims 85% of breaches exploit known, unpatched flaws and that 85% of users say over half their cloud data is sensitive; enterprises generate ~17,000 alerts/week but only 19% are reliable and 4% get investigated. The proposed fix is autonomous security built on AI/ML to deliver a single pane of glass, automate patching, apply CASB and identity/access controls, and cut mean time to detection and resolution.
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chapters (6)
- 0:00Start
- 1:08Distributed Denial-of-Service Websites
- 3:02Managing Risk
- 6:51Managing Security Events in the Cloud
- 9:06Security Challenges
- 12:56How Does Automatic Autonomous Security Work
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