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A cybersecurity career that uses AI helps you protect your organization from threats without hindering productivity or sacrificing user experience. It’s a growing field that you can enter with specialized education or training, then advance into leadership positions. The knowledge you gain is relevant to nearly any industry because cyberattacks are constantly changing and require strong security measures.

AI shows up in four places that change daily security work and make a real difference in the way you do it. Each replaces a manual task that doesn’t scale or adds a new capability you couldn’t do before. Each does it in a specific way that has advantages and tradeoffs you should understand before buying:

Better Threat Discovery

AI security tools automate the work of detecting threats, preventing breaches and mitigating their impacts. These systems find new threats among vast data and network traffic volumes that might otherwise go undetected. They can also reduce vulnerability management time and improve problem-solving.

Improved Authentication

AI-based solutions use biometric recognition and behavioral analytics to make identity authentication more seamless, secure and fast. They can also use predictive analytics to anticipate risky behavior and automatically take action on suspicious patterns.

Advanced Protection against Zero-Day Attacks

AI enables organizations to detect malicious activity before it causes a breach. Detection models learn a baseline of normal behavior, then flag deviations. For example, a machine learning algorithm could recognize that someone who normally pulls ten files from one S3 bucket suddenly enumerates forty buckets at 3 a.m. Unlike supervised models, which may only catch known attack patterns, unsupervised ones identify novel techniques. They can then prioritize alerts and automate response to contain an incident or prevent future attacks.