Technology: AI and Machine Learning Enhance Cybersecurity
Cybersecurity firm Axians analyzes how artificial intelligence and machine learning improve defenses against increasingly sophisticated cyber threats. Advanced methods identify and predict attacks.
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London – Axians, a company specializing in cybersecurity services, has released an analysis highlighting the role of artificial intelligence (AI) and machine learning in combating cyber threats. According to the company, the increasing power of computing enables the development of more effective AI-based defense mechanisms to counter perpetually evolving attack methods.
Axians emphasizes that modern enterprise networks can now process large datasets, which is a prerequisite for creating deep learning models. Deep learning, a subset of machine learning, learns to identify attacker behavior patterns and predict future attacks. This speed is crucial, as a skilled cyber attacker can gain administrative rights in a network in as little as three days.
Traditionally, detecting such intrusions has taken over 100 days on average, a period during which damage can become significant. Axians suggests that automated threat management, based on AI and machine learning, offers a more effective solution. Real-time network traffic analysis, risk prioritization, and threat-specific countermeasures are key components of this new approach.
The new methods focus on "how" an attack occurs, rather than "what" or "who" the attacker is. This behavior-based security allows for faster and more accurate responses to attack phenomena. AI can continuously learn and make reliable predictions about future events, significantly improving network protection.