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AI is already transforming the cybersecurity industry by enabling cyber professionals to analyze and detect threats at machine speed. As a result, it’s possible to prevent and respond to cyber attacks more quickly and effectively to minimize financial losses and safeguard corporate reputation.

What is AI cybersecurity?

AI-powered solutions sift through device and network data in real-time to detect suspicious behavior by analyzing live activity against a model of “normal” behavior from both the organization and its users. This approach can help to reduce false positives and false negatives so that only genuine threats are detected and responded to.

The threat landscape is constantly changing, and AI can learn from its experience to recognize new attack patterns. It can also be deployed to monitor networks and systems 24/7, reducing the time to detect and neutralize an attack.

Using an AI-based solution to identify shadow data and monitor anomalous user behavior can help to detect unauthorized access to sensitive information, such as passwords and credentials. AI can also detect and flag potential malware behavior and automate response actions such as isolating affected systems, blocking malicious activities, or triggering incident response workflows.

AI can be harnessed by attackers to enhance the sophistication of phishing attacks and other social engineering techniques, such as creating personalized and highly convincing fake personas for employees to engage with – increasing the risk that an employee will be tricked into divulging confidential data or taking malicious actions. To mitigate this, an AI-based security solution can help to identify phishing and other social engineering attacks by looking for common patterns in the data that is being fed into the system.