News & Insights

Benefits of AI & ML in Cybersecurity

With the increasing threat in this Digital World, cybersecurity has become imperative for individuals, organizations, and governments worldwide.

Let us look at some potential benefits that AI and ML can bring to Cybersecurity:

• Threat Detection and Prevention: Capable of analyzing large volumes of data in real-time, AI and ML-based systems are capable of detecting cyber threats faster and more accurately

• Fraud Detection: AI and ML can help detect fraudulent activities, such as credit card fraud or identity theft, by analyzing large datasets and identifying patterns and anomalies.

• Vulnerability Management: AI and ML can be used to analyze software code and identify potential vulnerabilities, allowing security teams to proactively address these vulnerabilities before attackers can exploit them.

• User and Entity Behavior Analytics (UEBA): AI and ML can be used to analyze user and entity behavior, identifying abnormal activities and potential threats. UEBA can help security teams detect insider threats and other types of attacks that may be difficult to detect through traditional security measures.

• Automated Incident Response: AI and ML can be used to automate incident response processes, such as identifying and containing security breaches, reducing response times, and minimizing the impact of security incidents.