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AI's Impact on Endpoint Protection

Artificial Intelligence identifies and deciphers behaviors, forming patterns for precise, effective identification and detection, significantly bolstering endpoint security.

AI's Impact on Endpoint Protection Strategies
AI's Impact on Endpoint Protection Strategies

AI's Impact on Endpoint Protection

In the rapidly evolving landscape of cybersecurity, Artificial Intelligence (AI) has become a common term associated with security solutions for endpoints. With an increasing number of cyber threats, the need for predictive threat detection and response capabilities has never been more important.

One company at the forefront of this AI revolution is Arctic Wolf. They offer the Arctic Wolf Concierge Experience, a solution that provides triaged alerts, continuous tailored guidance, and on-demand expertise for all endpoint security needs. The heart of this solution is Arctic Wolf Aurora™ Endpoint Security, an AI-driven product that delivers advanced prevention, detection, and response, stopping threats before they disrupt business.

Arctic Wolf Aurora™ Endpoint Security employs AI to understand behaviours and turn them into patterns for precise identification and detection. This approach is a significant distinction from the more traditional signature-based detection, which seeks out and alerts based on known threats. By focusing on behaviours, the system can detect and flag unusual activity that may be missed by rules-based systems, such as encrypting files or pulling commands from the web.

AI's ability to decipher usual from unusual user behaviour and access events with precision also helps reduce alert noise and improve filtration of alerts. This accelerates the investigation and reduces the time needed for human analysts to reach a decision on follow-on actions.

The importance of AI in endpoint security is further highlighted by the increasing number of malware samples identified daily. In 2024, over 500,000 new malware samples were identified daily, underscoring the need for predictive threat detection capabilities. Malware detection can aid in the detection of non-traditional malware like fileless malware, polymorphic malware, and zero-day malicious code.

AI-powered technologies can predict and stop threats before they can take hold. Emerging capabilities include next-generation detection systems that apply deep learning and neural networks. These advancements are crucial in the fight against ransomware, which often targets the endpoint early in an attack chain. AI can help organisations detect and respond to ransomware faster and more effectively.

The promise of AI in cybersecurity is that it can improve the ability to detect new threats. According to a survey, 73% of global security leaders have already implemented AI-driven solutions, with 39% of cybersecurity purchases or renewals currently dependent on the presence of AI within the vendor's offering.

72% of buyers are looking to AI for better threat prediction and prevention, with 70% expecting to increase their detection capability through AI models and technology. AI is considered better at maintaining accuracy at speed when identifying threats and minimizing errors.

In conclusion, the integration of AI in endpoint security is a game-changer. By understanding behaviours and predicting threats, AI can help organisations stay one step ahead of cybercriminals. With solutions like Arctic Wolf's Concierge Experience and Aurora™ Endpoint Security, organisations can benefit from AI's capabilities and expert guidance, ensuring their endpoints are secure and their businesses can continue to operate smoothly.

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