What is machine learning in cybersecurity

1. DETECTING THREATS IN EARLY STAGES

With its ability to sort through millions of files and identify potentially hazardous ones, machine learning is increasingly used to uncover threats and squash them before they can wreak havoc. 

2. UNCOVERING NETWORK VULNERABILITIES

Rather than wait for cyber attacks to happen, companies are taking a more proactive approach with machine learning. 

3. REDUCING IT WORKLOADS AND COSTS 

Distributing security updates, completing penetration tests and monitoring devices all take up time and energy. 

4. Benefits of Machine Learning in Cybersecurity

With its range of applications, machine learning offers many advantages to IT and security personnel. 

5. AUTOMATED CYBERSECURITY PROCESSES

Machine learning can learn new functions and get better at performing existing ones on its own, resulting in automated workflows. 

6. ABILITY TO HANDLE LARGE DATA SETS

Humans may struggle to deal with large volumes of data, but machine learning can quickly process and analyze larger data sets.

7. STRENGTHENED SECURITY PROCEDURES

Reviewing a company’s security infrastructure, machine learning algorithms can expose weak points, recommend fixes and help teams prepare for a variety of cyber attacks. 

8. ADAPTABLE DEFENSE SYSTEMS 

Not only does machine learning prepare for known cyber threats, but it can also gain insights into future attacks that are still unknown to many organizations.

9. FEWER HUMAN ERRORS

Unlike human employees, machine learning provides comprehensive protection 24/7 without getting tired.

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