How smart cyber security solutions are increasingly powered by AI and ML
Many organizations, regardless of size, are now facing greater challenges in day-to-day IT security operations, because of cost of threat management, particularly threat detection and response is too high.
As in day to day life data breaches are more common, ‘digital trust’ is a top priority for C-level leaders that build and maintain the IT infrastructure for digital transformation.
That’s the reason they are adopting Artificial intelligence (AI) and machine learning (ML) automation benefits for predictive outcomes to advanced data analytics.
Even AI-driven attacks have increased in number and frequency, requiring security professionals to have more advanced, smart and automated technologies to combat these automated attacks. However, this connectivity also increases the potential risk of cyber-attacks for enterprises and users.
Besides these cybercriminals are also using more sophisticated methods to attack organizations. These include polymorphic malware, AI and other automated techniques.
AI or ML algorithms have been implemented to empower security products and augment the capabilities of existing IT and cyber security staff in enterprises. These are adopted for smarter, more proactive and automated approach towards cyber defense, including threat prevention or protection, threat detection or hunting, and threat response to predictive security strategies.
Cyber security teams with less time and manpower investment and higher efficiency to identify the cyber security gaps,” said Amy Lin, industry analyst at Frost & Sullivan.