Which of the following is a real-world example of AI-powered cybersecurity?

AI-enhanced Endpoint Detection and Response (EDR) is a prime real-world application of AI in cybersecurity. Platforms like Cortex XDR use machine learning algorithms to analyze endpoint data (processes, file activity, network connections) in real-time. This allows the system to identify and respond to sophisticated threats, such as fileless malware and zero-day exploits, by detecting anomalous behaviors that would be missed by traditional signature-based antivirus solutions. The AI component provides the scale and speed necessary to analyze billions of events and pinpoint malicious activity.

B. Manual network traffic analysis: This is a human-driven process and is the antithesis of an AI-powered solution, which aims to automate such tasks.

C. IT helpdesk automation: While this uses AI, it is an IT operations function, not a core cybersecurity application focused on threat detection and response.

D. Employee attendance tracking: This is an administrative or human resources function and is unrelated to cybersecurity.

1. Palo Alto Networks. (n.d.). What is Endpoint Detection and Response (EDR)?. Palo Alto Networks Technology Overviews. Retrieved from https://www.paloaltonetworks.com/cyberpedia/what-is-endpoint-detection-and-response-edr. Section: "How Does EDR Work?", Paragraph 3. "Next-generation EDR solutions incorporate machine learning and artificial intelligence (AI) to automate parts of the threat detection process..."

2. Palo Alto Networks. (2023). Cortex XDR Analytics Concepts. Palo Alto Networks Documentation. Retrieved from https://docs.paloaltonetworks.com/cortex/cortex-xdr/cortex-xdr-pro-admin/analytics/analytics-concepts. "The Analytics Engine applies machine learning and complex algorithms to your network, endpoint, and cloud data to raise alerts when it detects suspicious activity."