In antivirus filtering the best ways to filter currently use?

Currently, the best methods for antivirus filtering include behavior-based detection, which monitors the actions of applications to identify malicious behavior in real-time, and heuristic analysis, which examines code for suspicious patterns. Additionally, machine learning algorithms are increasingly utilized to improve detection rates by analyzing vast amounts of data to identify new and evolving threats. Cloud-based threat intelligence also enhances filtering by providing up-to-date information on known threats and vulnerabilities. Together, these techniques create a multi-layered defense against malware and other cyber threats.