AI-Native Cybersecurity: Unlocking Digital Protection at Its Boldest

January 27, 2024
1 min read

TLDR: What is AI-Native Cybersecurity?

The application of artificial intelligence (AI) to cybersecurity is revolutionizing the way organizations protect their digital assets. AI-native cybersecurity harnesses the power of AI and cloud-native data platforms to analyze large datasets, detect patterns, and strengthen security. Key areas where AI is transforming cybersecurity include threat detection, behavioral analysis, and endpoint protection. AI-powered threat detection enables real-time analysis at machine speed, allowing organizations to recognize and prevent potential cyber threats. AI-powered behavioral analysis utilizes indicators of attack (IOAs) to detect active or in-progress attacks with high levels of accuracy. User and entity behavior analytics (UEBA) leverages AI and machine learning to analyze user and entity behavior in a network, identifying actions that indicate potential security threats. AI-native cybersecurity also enables automated response and remediation, containing threats and continuously enhancing security posture. Platforms like CrowdStrike FalconĀ® leverage AI to deliver advanced cybersecurity solutions.

The Role of AI in Threat Detection

In AI-native cybersecurity, AI systems can process and analyze data at machine speed, recognizing subtle patterns and anomalies that would be imperceptible to human analysts. Historical data is used to predict and prevent future attacks, enabling a proactive approach to threat detection. AI-powered threat detection enhances an organization’s ability to mitigate threats and prevent damage.

AI-Powered Behavioral Analysis and IOAs

AI-powered behavioral analysis focuses on detecting the intentions or actions that signal active or in-progress attacks. By analyzing hyperscale volumes of data, organizations can discern genuine threats from benign anomalies, reducing false positives and alert fatigue. AI-native cybersecurity enables security defenses to adapt to evolving threats, ensuring robust protection against changing attack techniques.

User and Entity Behavior Analytics (UEBA)

UEBA leverages AI and machine learning to analyze user and entity behavior within a network. By analyzing activity, UEBA tools can identify actions that indicate possible security threats, including insider threats and compromised accounts. AI algorithms establish a baseline of normal behavior and flag activities that deviate from the norm. Contextual analysis is a key feature of UEBA, enabling the understanding of actions within their context and distinguishing between adversary objectives and benign atypical behavior.

Automated Response and Remediation

AI-native security enables automated response and remediation, allowing organizations to assess behavior across domains and detect emerging tradecraft. AI systems can respond to threats at the endpoint level, isolating devices from the network or deleting malicious files. As AI-native cybersecurity tools encounter new threats, they continuously learn and evolve, enhancing their ability to detect and respond to future threats.

CrowdStrike Falcon

The CrowdStrike Falcon platform represents the cutting edge of AI-native cybersecurity. It integrates AI-powered threat detection, behavioral analysis, and UEBA to provide comprehensive protection for organizations’ digital infrastructure. Tools like ExPRT.AI and CrowdStrike Charlotte AI utilize the power of AI to bring vulnerability management and intelligent security assistance to users at all skill levels.

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