BotNet News

Your source for Online Security News

AI cybersecurity

AI has impacted nearly every industry, and cybersecurity is no exception. While some argue that the benefits of AI outweigh the risks, others point to potential vulnerabilities that could allow cyber criminals to gain access to sensitive information.

To address these concerns, companies can integrate AI into their security operations to improve their detection and response capabilities. AI identifies threats by using advanced machine learning algorithms to analyze large volumes of data and identify patterns. It can then quickly identify and prioritize risk by detecting deviations from established norms. This helps protect against malware, ransomware, and other cyber attacks before they cause damage.

Enhanced Situational Awareness and Decision-Making

Cyberattacks are increasingly complex, and humans can only evaluate so much data at one time. AI can take on the task of analyzing massive volumes of data, freeing human analysts to focus on high-value projects that require their attention. This shifts cybersecurity from a cost center to a strategic asset.

Malware Detection

The sophistication of malware is continually increasing. AI uses advanced machine learning to detect new types of threats that traditional signature-based antivirus software cannot. This includes malware that has never been seen before, as well as variations on existing malware.

Cybereason’s AI platform protects against cyberattacks with predictive protection, detection, and response at the endpoint and network levels. Credico used an AI-enabled UEM solution to achieve 100% tablet policy compliance, while United Family Healthcare reduced their time to detect, contain and respond to ransomware attacks with an AI-enabled threat intelligence solution.