International Journal Of Imaging

Abstract

AUTOMATED THREAT INTELLIGENCE INTEGRATION WITH SNORT FOR PROACTIVE DEFENCE

Author: R.Saritha, Kodimyala Sujithk Umar, Vullinthala Gowtham, Mallamraja Vardhan, Mohammed Azharuddin

Abstract:

The integration of predictive analytics into cyber threat intelligence not only enhances the ability to foresee potential attacks but also fosters a culture of proactive security management. By employing machine learning techniques, organizations can continuously refine their models based on new data, ensuring that their threat detection capabilities evolve in tandem with the changing cyber landscape. This adaptability is crucial as cyber adversaries continuously develop more sophisticated tactics, techniques, and procedures (TTPs) to exploit vulnerabilities. Furthermore, the role of automation in predictive analytics cannot be overstated. Automated systems can analyze vast amounts of data in real-time, significantly reducing the time required to identify and respond to threats. This efficiency allows cyber security teams to focus their efforts on high-priority incidents, improving overall incident response times and minimizing potential damage. Organizations that implemen