BUILDING SMARTER SECURITY SYSTEMS WITH AI: INSIDE CITRIX ANALYTICS FOR SECURITY
DOI:
https://doi.org/10.15662/hxs31g10Keywords:
Cyber Security, Policy-driven Automation, Detecting AnomaliesAbstract
Organizations are making a great leap in their method for protecting their digital
assets by transitioning away from conventional reactive models toward proactive
models of everyday threat management. Through early detection, prevention, and
automation, organizations are able to bypass disruptive and expensive consequences of
reactive measures that respond to threats only after the fact. Organizations can detect
and mitigate risks before they escalate into major issues through proactive approaches
(e.g. constant monitoring, machine learning behavior analytics, and policy-based
automation). The completely different approach is improving security operations and
ensuring the organization overall is not exposed to risk. Through unified data
consumption, behavior baselining, anomaly detection, and real-time policy
enforcement, organizations minimize false positives while allowing for best user
experience and maximum compliance. In addition, the operational framework is more
powerful since the mean time to find and respond to threats is improved.
References
“Key components of cybersecurity threat management”, Andrew Calore,
https://www.grcviewpoint.com/key-components-of-cybersecurity-threat-management/.
“Threat
Management”,
Desi
Gavis-Hughson,
https://cribl.io/glossary/threat-management/.“Comparing Proactive vs. Reactive Cybersecurity in 2025”, Sangfor Technologies, 20
Apr
https://www.sangfor.com/blog/cybersecurity/proactive-vs-reactive
cybersecurity.
[4]
[5]
“Best Practices for Implementing Cyber Threat Management Strategies”, Sanjiv
Cherian, Apr 16, 2024, https://www.micromindercs.com/blog/best-practices-for
implementing-cyber-threat-management-strategies.
“Citrix Synergy 2017: Analytics Gives IT Greater Visibility and Control of Cloud
Apps”,
Phil
Goldstein,
May
24,
2017,
https://biztechmagazine.com/article/2017/05/citrix-synergy-2017-analytics-gives-it
greater-visibility-and-control-cloud-apps.
[6]
[7]
[8]
[9]
[10]
[11]
“Citrix launches next-generation performance analytics service for apps and desktops”,
https://digitalisationworld.com/news/58348/citrix-launches-next-generation
performance-analytics-service-for-apps-and-desktops.
“How Citrix Analytics can help you protect your employees and your organization”,
Abhinava Sharma, March 24, 2022, https://www.citrix.com/blogs/2022/03/24/how
citrix-analytics-can-help-you-protect-your-employees-and-your-organization/.
“Raise your threat-hunting game with Citrix Analytics for Security and Microsoft
Sentinel”,
Jayaraj
Muthukumarasamy,
Mar
15,
https://www.citrix.com/blogs/2022/03/01/threat-hunting-citrix-analytics-security
microsoft-sentinel/.
2023
“Citrix Analytics for Security™ (Security Analytics)”, September 1, 2025, Mintu Moni
Pathak, https://docs.citrix.com/en-us/security-analytics.html.
“How Security is Embedded in Citrix Solutions”, kirkes, 09 May 2019,
https://lkmethod.com/how-security-is-embedded-in-citrix-solutions/.
“Data Sheet Stop ransomware attacks through security automation with Citrix Analytics
for
Security”,
https://www.citrix.com/content/dam/citrix/en_us/documents/data
sheet/how-citrix-analytics-security-prevent-ransomware.pdf.“Reference
Architecture:
Citrix
Analytics”,
Nagaraj
https://community.citrix.com/tech-zone/design/reference-architectures/citrix
analytics/.
[13]
Manoli,
“Automatic Text Summarization Methods: A Comprehensive Review”, Divakar Yadav,
Jalpa Desai, Arun Kumar Yadav, https://arxiv.org/pdf/2204.01849.
[14]
“Machine Learning: Algorithms, Real-World Applications and Research Directions”,
Iqbal H Sarker, 2021 Mar 22, https://doi.org/10.1007/s42979-021-00592-x.
