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AI cybersecurity

AI cybersecurity enables organizations to detect and respond to malicious activity.

Cybercriminals are constantly evolving their techniques and tactics, putting the onus on security technology to keep pace with these changing trends.

AI cybersecurity can enhance vulnerability management capabilities by using data and machine learning to identify potential attack vectors. Additionally, AI-powered tools can help monitor device and network behavior to spot anomalies that might indicate a new or unknown threat.

Aside from detecting malware, AI-powered cybersecurity solutions can also protect against bots attempting account takeover or the creation of fake accounts. Unlike signature-based solutions, which can only identify previously discovered threats, AI cybersecurity can detect and stop these new threats before they can infiltrate an organization’s infrastructure.

Cybersecurity teams can also use AI-powered systems to analyze and categorize disparate events within a corporate environment. This can help them prioritize concerns and make sure they address the highest priority threats first.

As a result, AI-powered systems can significantly reduce the number of alerts that an SOC team receives and improve their detection efficacy.

However, security experts are concerned that artificial intelligence-based cybersecurity systems may be vulnerable to manipulations of input and training data. As such, they are recommending increased transparency and auditing of AI systems to identify potential risks and prevent them from harming organizations. In addition, they recommend securing the decision-making algorithms that power these systems from any malicious influences that might affect their results. This will require a thorough documentation process of how these models are developed and tested.