CYBERSECURITY THREAT INTELLIGENCE PLATFORM USING AIML
It has a major concern modern era continuously in terms of sophistication and scale traditional antivirussoftware are heavily reliant on signature-based detection and pre-defined rule sets to identify malicious activitywhile these methods in identifying known fail new cyberattacks zero-day ai-driven moreover extensive adoptionof cloud computing iot devices and remote work spaces has brought new challenges making traditionalincapable end-to-end focuses an ai-driven cybersecurity system strengthens through automation envisionedsystem uses machine learning algorithms behavior anomaly detect more precisely system is able to scan largeamounts of security logs correlate predict security breaches before are able to cause extensive damage biganalytics artificial system reduces false positives minimizes time active contemporary it environments.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-29
- DOI
- https://doi.org/10.5281/zenodo.15104899
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00