Get Ready to Thwart Automated Cyber Attacks
CIOREVIEW >> Cyber Security >>

Get Ready to Thwart Automated Cyber Attacks

By CIOReview | Tuesday, April 23, 2019

Most of the organizations are managing their business processes, data storage, and data exchange in a digital manner. Data is the most significant asset using which any company can explore opportunities to generate revenue. In the same way, hackers have also realized the potentiality of such critical data in making monetary gain. Almost all types of companies have faced the impact of cyber threats on their data assets at various stages. The new generation of automated cyber attacks can affect several companies to an unbelievable extent.

Cyber Security experts are continuously trying to eliminate several existing cyber threats by deploying new security standards with latest technologies like machine learning, artificial intelligence, and IoT. The use of these technologies in security can help to identify the malware and its malicious behaviour in company networks. Likewise, cyber attackers are leveraging AI and machine learning technologies to launch automated cyber attacks which will compromise the security systems. This type of cyberattacks is threatening an organization to an unprecedented level.

The latest automated cyber attacks

Automated cyber attacks had decreased the workload of hackers and enabled smoother execution of multiple cyber attacks. Next wave of this automated cyber attacks include the following things.

• Credential Stuffing

Credential stuffing can primarily focus on the businesses related to financial and retail sectors which can illegally access the customer's account number, balance, transactions, contact details and personal information with the help of stolen passwords.

• Bad bots

Most of the organizations have been using bots to respond to the customer queries and to promote content. But, cybercriminals are using bad bots to attempt illegal logins and damaging the company's reputation by posting fake reviews.

• Malware

Cybercriminals are utilizing machine learning to create advanced malware strains which can stay within an organization's system for months to find security loopholes.

Later, this malware can launch automated cyber attacks most effectively by analyzing the cybersecurity protocols.

• Spear-phishing

Spear-phishing can reduce the workload of hackers in developing convincing emails by deploying natural language processing to train their systems using publicly available data collected from various sources.