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The threat landscape is constantly evolving. AI is uniquely positioned to quickly detect and adapt to new threats, keeping your business protected today and in the future.

Unlike traditional file-scanning and signature-based anti-virus protection, AI cybersecurity solutions use behavior analysis to look at how attacks actually work. This approach enables AI to recognize the specific behaviors of malicious software, such as malware, phishing or cryptojacking (infecting devices with software that mines cryptocurrency for hackers).

As a result, this allows organizations to more effectively protect their networks against new and emerging cyber threats that are not detected by legacy protection systems. The system also enables IT to prioritize risks and allocate resources efficiently.

In addition to detecting and responding to new threats, AI is able to analyze huge volumes of data in real-time, providing security teams with immediate visibility into potential vulnerabilities and attack patterns. This enables security teams to react fast and mitigate risk by rapidly taking action before the damage is done.

AI is also a powerful tool for penetration testing, intentionally probing the defenses of software and networks to identify weaknesses that attackers can exploit. This is a critical step in the security lifecycle that is often overlooked.

AI-based security systems can be deployed on the endpoint or in the cloud to protect all users and all assets from a wide range of threats. However, it’s important to evaluate the security capabilities of any AI system you deploy. Consider factors such as diverse and representative training data, rigorous preprocessing and cleaning techniques, ongoing monitoring and evaluation, explainability and transparency, ethical considerations and continuous education to ensure that any AI is operating in a responsible and secure manner.