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网络安全数据智能论坛:SAP、Anvilogic、Capital One 和 Wiz 的见解.pdf

上传人: Fl****zo 编号:718986 2025-06-22 63页 2.37MB

1、Transforming the cloud and AI operating modelJiong Liu,VP of Product Marketing,WizG2 Grid for Cloud-Native Application Protection Platforms(CNAPP)The Leader in Cloud SecurityThe Leader in Cloud SecurityEnabling Security ImpactEnabling Security ImpactThe Largest Private The Largest Private Cybersecur

2、ity CompanyCybersecurity CompanyContendersNicheLeadersHigh Performers50%50%Of Customers achieve 0 Criticals5050%Of Active Users are Devs/DevOpsSATISFACTIONMARKET PRESENCE$1.9B raisedMore than 50%of the Fortune 100 secure their cloud with WizCloud changes everythingDevelopment is now agile and contin

3、uousComplexity grows as our data&AI innovation accelerateBucket with cleartext cloud keys granting data access to sensitive data used for AI trainingKnow exactly what data is at risk,and who can access itSee the full risk path across Databricks and CloudTrack models and secure sensitive training dat

4、aData security is a team sportData SecurityteamAI/MLteamCloud SecurityteamExtend the cloud security operating model to your Databricks environmentVisibilityHow do we get visibility into risks in Databricks and how they connect across our Cloud?Data SecurityWhat sensitive data exists,and how is it ex

5、posed or accessed?AI securityWhat models do we have,and are they secure and governed?Instant visibilityScan your Cloud without agents and build the graph now including Databricks.Instant visibilityIdentify risks across the cloud surface areaMisconfigurationsDetect risky workspaces,clusters,and stora

6、ge settings like public network accessIdentityUnderstand who has access to whatSecretsSurface hardcoded credentials,tokens,or keys left in tables and volumes.Instant Visibility 13Built-In DSPM Classify and govern sensitive dataMature DSPM capabilities Agentless scanning,rich classification,and cloud

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本文主要介绍了Wiz与Databricks合作,推动云和AI操作模型的变革。关键点如下: 1. Wiz是云安全领域的领导者,助力企业实现安全影响,拥有超过50%的财富100强企业客户。 2. 云变革带来开发敏捷性和复杂性增长,文章强调了数据和安全访问的管理重要性。 3. 文章提出了数据安全、AI安全和云安全团队合作的理念,并介绍了Databricks环境下敏感数据的分类和治理。 4. 引用核心数据:50%的客户实现了0关键风险,50%的活跃用户为开发者和DevOps。 5. 文章探讨了SIEM现代化,介绍了Anvilogic平台在优化安全数据源、MITRE覆盖和降低SIEM成本方面的成果。 6. 提出了实时网络安全和关联引擎的流式检测方法,以及Detection-as-Code在Databricks上的应用。 综上,文章强调了云和AI创新时代下的安全挑战与解决方案,以及通过合作实现安全性能的提升。
"云安全如何实现革新?" "AI检测工程如何规模化?" "数据湖仓如何助力安全运营?"
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