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Adaptive Defense for Advanced Endpoint Security Solutions in Enterprise IT and Data Centers
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 75 |
| Year of Publication: 2026 |
| Authors: Sreeveni P.A., M. Nandhini, Farisha K.R. |
10.5120/ijca2026926293
|
Sreeveni P.A., M. Nandhini, Farisha K.R. . Adaptive Defense for Advanced Endpoint Security Solutions in Enterprise IT and Data Centers. International Journal of Computer Applications. 187, 75 ( Jan 2026), 40-46. DOI=10.5120/ijca2026926293
Abstract
Enterprise IT infrastructures and data centers are at risk from advanced cyber threats like zero-day exploits, fileless malware, insider misuse, and privilege escalation. Antivirus software and signature-based intrusion prevention are examples of traditional endpoint security solutions that still work against known attacks. However, they have trouble with new, behavior-based threats and are hard to understand. This survey looks at the latest developments in endpoint protection, including zero-day detection, insider monitoring, privilege abuse analysis, multimodal data correlation, explainable AI techniques, and adaptive model refinement through analyst feedback and deception. Profiling, ensemble anomaly detection, and deception-enabled frameworks are used to look at these methods.
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