How Has AI Changed The Field Of Cybersecurity

The field of AI and cybersecurity is constantly evolving to keep up with the latest attacks and threats, and now it’s adopting artificial intelligence (AI) to do the job. AI can help cybersecurity professionals identify new vulnerabilities faster than ever before, find malware before it becomes dangerous, and even speed up incident response times. Sutherland experts state, “Advances are coming at everyone quicker than their ability to keep up.”

Identifying Threats And Vulnerabilities Using AI

Regarding identifying threats and vulnerabilities, AI can help automate the process. With the AI-powered tools they discussed earlier, you will be able to identify threats and vulnerabilities without manually checking every single one. 

For example, suppose a new vulnerability is discovered in a software program that the company uses with AI-powered tooling. In that case, you’ll be able to automatically recognize this problem and alert your team so they can take action immediately. This way, security personnel can save time doing tedious tasks like logging into each server individually just in order for them to check for problems on each device with AI technology behind them instead!

Protecting Against Hacks And Attacks Using AI

You might be surprised to learn that AI can be used to detect and prevent attacks. In fact, it’s already being deployed in the field. AI-powered solutions can protect against hacks and attacks by analyzing user behavior patterns, detecting anomalies that could indicate a breach or malware infection, blocking malicious activity before it happens, and other methods.

Of course, cybersecurity involves much more than just preventing attacks on your servers or applications:

  • You also want to detect phishing attempts from potential hackers trying to steal your users’ data.
  • You want ransomware protection so your users won’t get locked out of their computers if someone tries hacking into their system.
  • There are other types of threats as well (such as botnets).

Detecting Malware With AI

With the use of AI, cybersecurity professionals can detect malware that is not known or in their signature database. This is a major advancement over existing detection technologies which rely primarily on signatures and heuristics.

While some anti-virus software providers have started using AI to improve their products, it’s still early days for this technology and vendors should be cautious when deploying it into production environments. Before doing so, they will need to research how well such systems perform against live attacks (in other words: don’t just take anyone’s word for it).

Speeding Up Incident Response Times

AI is able to speed up incident response times by detecting threats and vulnerabilities faster than humans can. AI also identifies patterns and anomalies in data that humans cannot, helping security teams identify suspicious activity more efficiently. Finally, AI can automate repetitive tasks and improve the efficiency of security operations centers (SOCs).

In conclusion, AI and machine learning are already making a difference in cybersecurity. Organizations can use AI to identify their systems’ threats and vulnerabilities to take action before an attack happens. This allows them to protect against hacks and attacks from external actors and internal threats such as malicious employees or contractors. 

Article by Born Realist