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The Role of Artificial Intelligence in Cyber Security, Explained


In today's technological era, cybersecurity has become a major concern for all companies like Meta, Microsoft, Amazon, Google, and Apple. The reason is well known. Every customer prefers the company where the personal information of customer is safe and secure. 
Here today in my article we will explore the critical role of artificial intelligence in cyber security and it would not be fair if we did not discuss machine learning. We will be discussing here all about cyber security benefits, threats, Symantec technology and AI integration. 

Let's Start

How Artificial Intelligence is Enhancing Cybersecurity?

The first step in establishing the best defense against a potential cyberattack is to incorporate a solution that includes preventative monitoring, user education and proper patching and incident management.

However, today options have been developed that can go beyond this basic setup. One of the best is precisely the implementation of artificial intelligence (AI) in cybersecurity.

Artificial intelligence and machine learning are constantly improving cybersecurity capabilities to the point where it could be argued that the next generation of defense relies heavily on robotics.

Symantec embraces these technologies that allow machines to see, detect, and respond to threats. By using the latest advances in artificial intelligence and machine learning, this cybersecurity industry leader can ensure that users are protected.

AI is helping to boost cybersecurity in a number of ways. One of them is the accurate detection of threats, which is made possible by machine learning . Machines can be trained to become increasingly better at their job. Over time, they will become more effective at preventing attacks or stopping them at their earliest stages

Another interesting aspect is that several AI systems can work in a coordinated way . Their job is to categorize the attack according to its threat level. This way, security officers can act in an orderly and efficient manner. Instead of directing their efforts in a meaningless way, they have precise help that saves them a lot of work

Find out below about the importance of artificial intelligence in cybersecurity and the role it plays in Symantec's protection.


Artificial Intelligence in Cybersecurity

AI as the New Cybersecurity Priority

Artificial intelligence is a system that has been taught to perform specific tasks without being explicitly programmed. This is the factor that allows cybersecurity solutions to analyze and learn data with greater efficiency and precision, making it the new cybersecurity priority in IT departments in companies.

AI is a constantly evolving technology, and its algorithms allow automatic learning, known as machine learning, which helps the system learn patterns and adapt to simplify the response to incident risks.


Benefits of AI in Cybersecurity

Cybersecurity professionals are inundated by many tasks, excess data, lack of time, and low availability of skills, so AI can have a great impact on IT managers by allowing:

  • Accurate threat detection
  • Automated response execution
  • Faster attack investigation

This is one of the most important benefits, since human resources in cybersecurity are still not enough to meet the demand, and in this way the efforts of administrators can be optimized.


AI in Threat Prioritization and Management

AI systems collaborate by categorizing attacks according to the threat level; cybersecurity managers, for their part, assign the priority with which each one should be addressed, starting with those that are most dangerous for the state of the company's information.


The Evolution of Threats and the Role of Machine Learning

Malware and other attacks that may arise also evolve, making threats faster and more sophisticated. This is why machine learning becomes essential to stay prepared.

  • Analysts create protocols and rules based on their experience; however, they may encounter problems when a new or unknown threat appears.
  • Machines, for their part, apply their security protocols based on information acquired through machine learning and deep learning.

These learning systems rely on:

  • Network behavior patterns to predict future movements and attacks.
  • Servers, firewalls, operating systems, user behavior, and reaction strategies.

Even so, these can suffer from false positives, which reinforces the idea that both schemes—human expertise and AI—must complement each other.


Symantec Technology and AI Integration

Autonomous Cybersecurity Solutions

Symantec, a provider of data-driven security to help businesses thrive, is at the forefront of the endpoint defense effort. As cybersecurity becomes a dominant global issue, it is looking for new ways to identify, monitor, and contain attacks.

The security provided by Symantec is characterized by being autonomous due to the AI-guided engine that automates, from start to finish, its daily security management and IT operations.


Data Protection Through AI-Powered Tools

Products such as Symantec's Data Loss Prevention work by deploying AI machine learning techniques to quickly scan and qualify data in motion, such as:

  • Emails
  • Text messages
  • Documents
  • Associated attachments

This solution allows you to set up strict controls and restrictions on data transfers to prevent data loss or hijacking.


Enhancing Endpoint Protection

Symantec Endpoint Protection turns the latest advances in AI and machine learning into powerful benefits for businesses. It delivers some of the most advanced machine learning capabilities available in the industry through cutting-edge engineering.


Features of Symantec Endpoint Protection

  1. Policy recommendations and automation: Combines behavioral intelligence from administrators and users, indicators of compromise (IoCs), and historical anomalies to identify threats.
  2. Continuous learning: Adapts to administrative trends, aligning responses to organizational risk tolerance and needs.

Leveraging Strong Data Sources

Without a doubt, AI performance depends on a good data source. Symantec models work by analyzing one of the largest collections of non-governmental, multifactor telemetry in the world to identify potential threats and unusual behavior patterns.

Symantec technology:

  • Reviews 2 petabytes of data daily, generated by billions of files and messages and trillions of network connections.
  • Tracks threat and attack data on 175 million endpoints while monitoring 57 million attack sensors in real-time.

This robust framework enables Symantec to perform daily security operations, automate decision-making, and execute defense actions, thereby eliminating time-consuming processes.


Machine Learning in Cybersecurity

A Specialized AI Discipline

Today, most of the relevant research and advances in the cybersecurity industry come from the AI discipline called machine learning, which focuses on applying algorithms to data.

Analysts create protocols and rules based on their experience; however, they may face difficulties when encountering new or unknown threats.

Machines, in contrast, apply security protocols based on information acquired through machine learning and deep learning, influenced by:
  • Network behavior patterns predicting attacks.
  • Operating systems, servers, firewalls, and user responses.

Even though machine learning excels at these tasks, occasional false positives highlight the necessity of combining human expertise with automated systems.


Conclusion: Enhancing Cybersecurity With AI

Symantec as a Leader in AI-Driven Solutions

Symantec’s AI-powered technology provides businesses with industry-leading tools for data protection and threat management.

Benefits of Symantec AI Solutions

  • Autonomous systems that reduce manual intervention.
  • Enhanced data protection through Data Loss Prevention tools.
  • Streamlined operations using machine learning-powered endpoint protection.

Strengthen the security of your business network by leveraging the power of artificial intelligence and explore Symantec’s interface demo for a detailed understanding of its advanced tools and solutions.



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