Citrix has announced a new analytics service which will simplify IT infrastructure and provide visibility into company-wide user and entity behaviour, system security, performance and operations.<\/p>\n
Using machine learning and artificial intelligence to detect anomalous behaviour and potential threats, Citrix is now able to deliver actionable intelligence from the information gathered via its cloud services and on-premises products to help customers proactively identify and manage internal and external threats.<\/p>\n
Citrix Analytics enables customers to adopt a risk-based security model, allowing them to dynamically balance the needs of users to have rapid access to data with IT\u2019s need to secure and govern the environment.<\/p>\n
This new service securely aggregates and correlates user interaction with applications, devices, networks and data across Citrix\u2019s suite of products and cloud services to help detect and prevent malicious activity and data exfiltration.<\/p>\n
With an end-to-end view of the location of and access to data, Citrix Analytics also allows organisations to monitor and manage data movement across endpoints, the data centre, mobile, hybrid and multi-clouds.<\/p>\n
This visibility into data logging and access requests helps customers understand data flows to meet their security and oversight obligations under several security standards and regulations including HIPAA, Sarbanes-Oxley (SOX) and GDPR.<\/p>\n
\u201cWith GDPR only a month away, companies must focus on knowing where their data is [and] who has access to it and implementing appropriate technical and organisational security controls,\u201d said Peter Lefkowitz, Chief Privacy and Digital Risk Officer, Citrix.<\/p>\n
\u201cThe Citrix Analytics service helps our customers design security into their systems and monitor the security of their data on an ongoing basis.\u201d<\/p>\n
In a closed-loop system, the service uses data about\u00a0application and document access, device usage and network traffic\u00a0to build unique and comprehensive visibility into user and entity or \u2018thing\u2019 behaviour, enabling context-based security controls.<\/p>\n
The behavioural insights this service delivers gives organisations a proactive way to monitor, detect and flag behaviours that fall outside the norm, including mitigation of phishing and ransomware attacks.<\/p>\n
\u201cCitrix is enabling customers to enforce a trusted model of security designed to keep bad actors away from company applications and data wherever they are. The Citrix Analytics service uses machine learning and AI to give each customer unique insight into their organisation, including where their data is within the environment and who is trying access it at all times. Customers can use this insight to help proactively defend against attacks and flag anomalous behaviour to protect against data exfiltration,\u201d said Stan Black, Chief Security and Information Officer, Citrix.<\/p>\n","protected":false},"excerpt":{"rendered":"
Citrix has announced a new analytics service which will simplify IT infrastructure and provide visibility into company-wide user and entity behaviour, system security, performance and operations. Using machine learning and artificial intelligence to detect anomalous behaviour and potential threats, Citrix is now able to deliver actionable intelligence from the information gathered via its cloud services […]<\/p>\n","protected":false},"author":28,"featured_media":25350,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[809],"tags":[5510,3355,5511,5512,297,5513,3426,5514,592,3430,285,5515,5516,5517,5518,5519],"class_list":["post-25182","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-more-news","tag-anomalous-behaviour","tag-artificial-intelligence","tag-chief-privacy-and-digital-risk-officer","tag-chief-security-and-information-officer","tag-citrix","tag-citrix-analytics","tag-gdpr","tag-hipaa","tag-hybrid","tag-machine-learning","tag-mobile","tag-multi-clouds","tag-peter-lefkowitz","tag-sarbanes-oxley-sox","tag-stan-black","tag-the-data-centre"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/posts\/25182","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/users\/28"}],"replies":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/comments?post=25182"}],"version-history":[{"count":7,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/posts\/25182\/revisions"}],"predecessor-version":[{"id":25349,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/posts\/25182\/revisions\/25349"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/media\/25350"}],"wp:attachment":[{"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/media?parent=25182"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/categories?post=25182"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/tags?post=25182"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}