ai in data security
ai in data security

AI in Data Security

AI in Data Security: AI technologies use by IBM Watson and are helping other organizations improve data security and cyber-attack. The technology algorithm focuses on detecting vulnerabilities and vulnerabilities in the early stages of attack implementation.

Threats:   

The first steps to understand the role of AI in data security is to learn about the various types of threats to data security:

Social Engineering

Uses a technique to manipulate users to access or provide valuable information. This technique can combined with other types of cyberattacks. For example, attackers may disguise legitimate sources and persuade users to download and activate malware or enter malicious sites.

Phishing

A form of social engineering, phishing is the most common threat and is usually justified by sending messages and emails that fail to provide victims with valuable data or download malware that can steal itself, like Trojan horses.

Malware (Malicious Software)

A general term that describes any type of software that primarily harms networks and devices such as computers and

Ransomware

A type of malware designed to extort money from victims by blocking access to settings and files until a Sansom is paid and activate the decryption key provided by the bad actor after payment. It is important to remember that even if access is restore, the attacker still had free access to all the data in the system and may have a copy of it in his system. So valuable information is still at stake.

Advanced Persistent Threats (APTs)

A type of attack used by actors to infiltrate the network and maintain their position for a long time. This technique is effective because an attacker can steal valuable data without warning, so it can difficult to detect.

Zero-day Exploit

Time-related attacks that take advantage of threats only after they are discovered before they are patched and fixed. These attacks are difficult for security teams to reduce and can severely damage valuable data.

SQL injection

Attackers use Structured Query Language (MySQL) injection to gain access to the MySQL server and run malicious code. The idea behind this attack is to take advantage of the threat posed to MySQL servers and force them to reveal hidden information.

Denial-of-Service (DOS) attack

Bad actors use this technique to overflow networks and servers with traffic so that they run out of resources and are not available to users.

Insider threat

One type of attack is which organizations are targeted by people who employ them directly or indirectly. There are different types of internet attacks and they usually target valuable and sensitive data to the organization.

Data Breach

A vulnerability that allows unauthorized parties to gain access to valuable and sensitive data such as user information, passwords, credit cards, or any other sensitive and private information.

How does artificial intelligence help to protect your data?

Nowadays, hackers are launching strikes with the help of automated attack. Because many organizations use the same manual techniques to detect attacks that can adapt them to external threat statistics. Using traditional techniques can be dangerous because when it comes to detecting intrusions, they are temporary, and until then, hackers will increase the risks by accessing your critical data.

Risk Identification factor:

To address these challenges, organizations are digging deeper into the use of AI in their cybersecurity management operations. Artificial Intelligence is useful in predicting the risks of taking both defensive and offensive precautions. Previously, all organizations only needed to cover networks and endpoints, which is not the case at the moment as the level of attack has increased. AI can widely applied to cloud networking with the presence of smart devices like mobile phones, tablets, and smartwatches.

Prediction for the future:

Today, for many organizations, increasing the cooperation of the security team is a tough task responsible for identifying and eliminating breaches. Using the risk-based cybersecurity concept, your security-related security incident reporting and human interactive loop intervention can used as a blueprint to automate the process.

Takeaways:

To make the most of artificial intelligence for the security industry. Organizations need to recognize what machines and people can do. And the Advances in artificial intelligence can provide new tools to help businesses protect themselves from the dangers of hunting and new networks, and make a decision before classifying a threat by a cybercriminal.

You may also like to read: AI in Different Fields

 

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