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AI cybersecurity is an important part of defending your organization against cyber attacks. It can help detect and mitigate a variety of threats, including ransomware, malware, phishing attacks, and more.

Security teams face a lot of challenges in identifying threats because hackers are constantly changing their tactics, which makes it difficult to prioritize tasks. For example, if you are focusing on a phishing attack along with denial-of-service attacks and ransomware at a time, it can be tough to know what to focus on first.

Aside from detecting and preventing threats, AI can also help improve the efficiency of security operations. It can help automate repetitive processes and keep everyone on task.

Artificial intelligence can also help to prevent malware, phishing, and social engineering attacks from happening. Machine learning can use data from millions of incidents to predict new vulnerabilities and threats, helping to protect your organization.

Predicting and detecting threats

AI can analyze network traffic and detect signs of malware, phishing, or spoofing attempts. It can then trigger a response to stop the threat before it is even launched.

Anomaly Detection

AI uses machine learning to monitor network traffic and flag anomalies that could signal an attack is about to take place. It sends you a notification so you can investigate the problem and address it quickly to avoid data breaches or worse.

Attack Response

Anomaly detection can be incredibly useful when paired with AI’s attack response capabilities, which help you develop virtual patching and other protection mechanisms in the event of an attack. This can significantly reduce the damage caused by an attack, while ensuring your company’s security remains intact.