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AI cybersecurity uses artificial intelligence to protect your network against attacks that rely on machine learning. AI systems analyze data and user behavior, detect patterns and anomalies, and alert security teams to potential threats. AI cybersecurity platforms can help you prevent phishing, ransomware, malware, and other common cyberattacks.

Data Collection

AI systems gather a massive amount of data, including system logs and real-time network traffic. This information helps identify and prioritize threats in the wild and improve the accuracy of threat detection.

Training

AI models are trained on large amounts of data to recognize and detect patterns. This data must be carefully selected, and methods and measures must be in place to ensure that the models don’t develop biases or other issues.

Anomaly Detection

AI tools look for anomalies that deviate from normal activity, and they often find them faster than human analysts. This makes them ideal for detecting and addressing emerging threats that may have been missed by traditional methods.

A strong AI security solution includes a unified platform that secures AI applications from model selection and testing to runtime and beyond. Keeping your AI system secure also requires organizational changes that make security a business priority and not just a technical concern. Our Secure by Design approach reflects these fundamentals. Getting these basics right transforms security AI from a potential risk to a powerful ally in the fight against cyberattacks.