What Does AI Think About Cybersecurity? Challenges and Solutions

The world of cybersecurity is a constant arms race and lives its own cold war. Competition has always brought innovation, and as security systems become more comprehensive, threats continue to evolve and find vulnerabilities in our defenses. 

This dynamic drives the development of security systems and teams that try to stay ahead of increasingly complex and sophisticated threats. 

Innovations in this field include: 

• Preventive monitoring 
• User education 
• Better patch management 
• Immediate incident response 

With these elements, we have been able to hold the front, but not win the battle, as threats evolve at an overwhelming pace. 

Meet the New Player on the Field 

In this scenario, even the most capable security teams are overwhelmed by the amount of tasks, information, time, and skills needed to address the security dangers they face. This is where artificial intelligence (AI) and machine learning (ML) make a difference, resulting in a new competitive business advantage. 

The adoption and integration of AI and ML in security systems allow for the automation of operations and tasks at all stages of the development chain. From threat identification and prevention to the development of responses and solutions to their attacks, these innovations have become a great ally for teams to keep their operations secure. 

Additionally, once potential problems are identified, AI can categorize them based on their threat level, helping prioritize the resolution of those that pose a greater danger to a company’s information systems. 

The Impact of AI on Cybersecurity

 Process automation, however, is just the tip of the iceberg in the advantages of AI and ML in security. The implementation of this technology in our systems offers much more interesting opportunities. 

Machine learning enables AI to: 

• Process information 
• Analyze patterns 
• Learn from its experience 

This will concretely help your company to: 

• Quickly identify threats 
• Install an effective monitoring system 
• Establish a new front for threat containment 
• Implement a predictive AI system to foresee future movements and attacks 

Now you understand why it is a priority for IT teams. Its predictive and analytical capabilities complement security teams and systems, shielding operations against threats that have not yet occurred. 

How to Achieve All Its Benefits?

Companies like Ikusi, specialized in technology and cybersecurity services, or Symantec, a data-based security provider, are already implementing AI/ML in their services, offering AI and big data-guided security. 

Thanks to the implementation of machine learning and big data analysis, these innovations achieve: 

• Improved data protection 
• Strict control configurations 
• A data transfer restriction system to prevent incidents 
• Endpoint protection optimization through policy recommendations and automation 

Thanks to the analysis of a collection of multifactor telemetry, AI can identify potential threats and unusual behavior patterns among millions of data points and network connections, minute by minute. 

There are multiple applications of AI/ML in security, and we are just scratching the surface. Cybersecurity and observability services like Ikusi Full Visibility with ThousandEyes and Ikusi Fly over the WAN guarantee your victory against increasingly complex security threats. Shield your systems and keep pace with security innovation. 

Experience the most complete and advanced security with Ikusi.