Overview

In this article we will know about top 10 Ai tools that can make a revolution in the cybersecurity field. First we will discuss how AI changed cyber security and how AI protects us from Cyber Attacks and cyber Threads. After reading that article you’ll be able to know about the importance and role of Artificial Intelligence in Cyber Security. 

Introduction

In the today’s world, the cybersecurity has a come to be an important issue for organizations all over the world. Traditional security methods are no longer enough to safeguard sensitive data and essential infrastructure because of the growth of malicious viruses, cyber threats and new types of cyberattacks.

Organizations are using artificial intelligence (AI) and machine learning (ML) software and algorithms to improved their cybersecurity defenses in order to fix these issues. Organizations may remain one step ahead of hackers and cybercriminals with the help of these advanced AI-based tools and softwares that provide innovative approaches for threat detection, incident response, and risk management. So the summary of that AI plays a crucial role in the field of Cybersecurity. Now let’s discuss about the top 10 AI tools transforming Cybersecurity.

Top 10 AI Tools Transforming Cybersecurity

Now let’s discuss about the most important top 10 Ai tools that are must used in cybersecurity.

1 Darktrace

Darktrace is like a leader of AI-based cybersecurity solutions by using the advanced AI algorithms that instantly identify and counter that threats. Darktrace can detect suspicious activity and possible security breaches by continually monitoring network traffic and user behavior. This allows the organizations to take suitable action to mitigate risks before they become more serious and harm your system.

2 CylancePROTECT

Using AI and ML algorithms, CylancePROTECT stops malware infections and other online cyber attacks and threats before they have a chance to cause damage. CylancePROTECT is able to identify and stop malicious files through analysis of file properties and patterns of behavior. That is provides organizations to improved threat prevention capabilities and protects it’s systems and data from new threats.

3 IBM Watson for Cyber Security

IBM Watson for Cyber Security using AI to analyze huge amounts of security data and provide the security analysts useful insights. IBM Watson helps the organizations to improve their threat detection and response capabilities by finding hidden threats, and integrating multiple data sources. This makes it easier for organizations to identify and mitigate these risks.

4 Splunk Enterprise Security

Real-time threat detection and response can be achieved by Splunk Enterprise Security with automated analytics. Splunk Enterprise Security is allows the organizations to react quickly and more effectively to new threats and security breaches by evaluating data security from throughout the company to spot unusual activity and possible security issues.

5 McAfee Advanced Threat Defense (ATD)

Through McAfee ATD the identification and diagnosis of random theft and threats, McAfee ATD leverages artificial intelligence and machine learning to offer organizations more effective threat detection services. McAfee ATD helps organizations improve their entire security precautions and resistance against cyberattacks by detecting advanced threats and cyber-attack that may escape traditional security measures through the identification of actions and examination of data attributes.

6 Palo Alto Networks Cortex XDR

Throughout the organization’s networks, endpoints, and cloud-based environments, Palo Alto Networks Cortex XDR uses artificial intelligence (AI) and behavioral analytics to identify and stop advanced cyberthreats. Cortex XDR can identify and reduce the risks through analyzing endpoint, network, and cloud data. By doing this, an organization’s overall cyber risk is decreased, and their defenses against complex threats and attacks are improved.

7 FireEye Helix

 FireEye Helix integrates AI-based analytics and threat intelligence to detect and respond to cyber threats in real-time. FireEye Helix can detect and categorize the security incidents through analyzing huge amounts of  security data from multiple sources. Organizations may be able to react to new vulnerabilities and cyberthreats by doing FireEye. FireEye Helix works much quicker and more effectively, reducing the overall effect of attacks on their everyday activities.

8 Symantec Endpoint Protection

Symantec Endpoint Protection gives the organizations to enhanced their endpoint security capabilities by utilizing AI and ML algorithms to defend their endpoints against the cyberattacks. The Symantec Endpoint Protection can be detect and stop malicious files by examining file characteristics and behavior patterns.This helps the orignization to stop malware infections and other cyberattacks from compromising their endpoints and data.

9 Trend Micro Deep Security

 Trend Micro Deep Security uses Artificial Intelligence and analytics to defend virtualized environments and cloud based applications from online cyber-attacks. Through the real-time threats detection and response by using the network traffic and system behavior examination, Deep Security helps organizations protect their cloud infrastructure from advanced attacks and reduce their vulnerability to cyber attacks.

10 Cisco Umbrella

Cisco Umbrella provides advanced threat protection features by using AI and ML Algorithms to protect users against harmful websites and phishing scams. The Cisco Umbrella can identify and block risky domains by analyzing DNS requests and web traffic. This improves the security of an organization’s network infrastructure and reduces the risk of data breaches and cyber-attacks. 

Conclusion

In conclusion, the top 10 AI technologies are listed above that shows how  AI has used in cybersecurity. These tools and softwares are giving organizations advanced protection against cyberthreats.

​These Artificial Intelligence tools enable the organizations to improve their threat detection, incident response and risk mitigation abilities by utilizing AI and ML technologies. This helps them stay ahead of cyber attackers and protect their vital assets and data.

The incorporation of AI-based technologies will be crucial in helping organizations in understanding the constantly shifting cybersecurity environment while effectively defending against new threats as cyberattacks grow in advance.

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