Safer Internet Day: How cutting-edge tools like AI, ML & data science help in cybersecurity 

Did you know that February 7^th is observed as Safer Internet Day? Well, yes. And today, we’re in the 20^th edition of the campaign and the slogan for 2023 is “Together for a better internet”. The initiative started by the EU SafeBorders project in 2004 was taken up by InSafe network, a European network of Awareness Centers promoting safer and better usage of the internet. Since its inception, Safer Internet Day has grown beyond geographies and is celebrated by 180 countries and territories worldwide. This day aims to raise awareness of emerging online issues and current concerns that surround the digitally driven world we live in. 

Today, the internet is driving the world. There are various tools like data science, business analytics, AI & machine learning that are helping keep our internet safe today. Let’s take a look at how these tools have improved cybersecurity. 

Data science 

Tons of data is generated every day and the volume is only increasing. The rise in data also means a greater chance of data breaches. This is where data science comes in. With the use of data science on cybersecurity, it has become easier to predict vulnerabilities which can prevent the risk of data breaches. Data science basically uses machine learning tools on past data to predict hacks or breaches. It helps in developing algorithms to deduce patterns from previous data intrusions. This makes it easier to predict a hacker’s behavior and allows organizations to implement preventive measures.  

Data science professionals analyze large amounts of data to cater to the needs of an organization. They interpret raw data and extract valuable information from them. Data scientists play a key role in cybersecurity by not only tightening the security of data but also blocking illegal intrusions and hacks. Globally, the demand for data scientists is said to witness a 200% rise by 2026! Pursuing an online degree or a certification in data science can elevate your career to the next level.  

Artificial Intelligence and Machine Learning (AI & ML) 

AI and machine learning can help to improve cybersecurity by providing faster, more accurate, and more comprehensive analysis of security data. AI & ML have several implications in cybersecurity like identifying threats, developing effective antivirus software, fighting cybercrime, predicting hackers’ behavior and more. A cybersecurity threat identification system powered by AI & ML can be used to monitor suspicious activity and illegal hacking accurately. AI & ML allows us to sort tons of data and identify malicious software, phishing attacks, or network intrusions that wreak havoc in a system. Artificial intelligence algorithms can help identify suspicious activities such as credit card frauds, money laundering and identity thefts. 

With vast amounts of data being created and security breaches on the rise, machine learning experts can play a key role in improving cybersecurity. Machine learning experts reduce cyber threats using AI-based solutions and automate and enhance security processes, improving the accuracy of threat detection. Through an online certification in Machine learning, you can make a difference in the field of cybersecurity. The job roles are not only demanding, but also lucrative, 

Business analytics 

A business analytics professional working in cybersecurity is in charge of identifying and assessing potential risks in an organization’s information systems to provide solutions to improve cybersecurity. Business analytics can help organizations develop cybersecurity policies, taking into account the organization’s goals and regulatory requirements. Business analytics also helps in allocating resources for cybersecurity, and ensure efficiency and effectiveness of these processes.  

In an online business analytics program, you will learn machine learning tools and methods that will help you assess and interpret data and data threats.  

Cloud Computing 

Security management in cloud computing means the process of protecting cloud-based systems, data, and applications from potential security threats and vulnerabilities. Security management is a critical component of cloud computing that ensures that cloud-based systems and data comply with relevant security regulations and standards, such as the Payment Card Industry Data Security Standard (PCI DSS) and the General Data Protection Regulation (GDPR). An effective security management helps avoid the impact of data breaches and phishing attacks on organizations’ data. It helps to detect threats in real time.  

Pursuing an online certification in cloud computing helps you learn the nuances of security management and add value to an organization you work with.  

These tools play a key role in cybersecurity, especially considering massive online threats in today’s world of the internet. There is also an increasing demand for professionals in AI, M, data science and cybersecurity, who will serve as protectors of data in organizations. Through these cutting-edge tools, we can together aim for a safer & better internet.