TRENDING
“ Organizations know that manual approaches aren ’ t scalable . Teams can ’ t afford to waste time and effort chasing false positives , searching for vulnerabilities whenever a new threat alert appears or conducting forensics to understand whether data has been compromised . They need to work together to drive faster , more secure innovation ,” said Greifeneder .
“ Automation and modern delivery practices such as DevSecOps are key to this , but teams need to trust that their AI is reaching the right conclusions about the impact of a particular vulnerability . To accomplish this , organizations require a unified platform that can converge observability and security data to eliminate the silos between teams . By bringing their data together and retaining its context , DevOps and security teams can unlock the insights they need through causal AI . This enables them to harness intelligent automation to rapidly deliver highperforming and secure applications that delight their users .”
The report is based on a global survey of 1,300 CIOs and senior IT practitioners involved in DevOps management in large organizations with more than 1,000 employees , conducted by Coleman Parkes and commissioned by Dynatrace . The sample included 200 respondents in the US , 100 in Latin America , 600 in Europe , 150 in the Middle East and 250 in Asia-Pacific . p
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