Behavioral Analytics Ends the Hide and Seek with Dangerous Attack Vectors

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To resist undetectable malware and track down attack vendors, a company must hire professionals with superior talents who can think faster and in lockstep with attackers.

All of a company’s behavioral analytics technology expenditures will be for naught if it can’t detect suspicious activity in real-time.

Hackers can imitate typical user activity while still compromising the victim’s information. If it discovers any unusual activity, behavior analytics can be useful. However, hackers can use a variety of attack vectors to deceive behavior analytics. For example, if a user is well connected to an open or public Wi-Fi, hackers can easily hijack and inject particularly written malware into all devices connected to the public Wi-Fi, employing phishing, SQL injections, or even spreading spyware.

Over the last few years, there has been a lot of progress in building behavior analytics solutions for improving cybersecurity protection measures. Target and Amazon, for example, are heavily reliant on behavior analytics. The reason for this is that hackers have honed their skills, causing massive harm through tactics such as advanced social engineering, which can compromise standard security methods.

Hackers nowadays deploy highly sophisticated, wonderfully coded software that can avoid being recognized as malware by security systems. Intelligent behavior analytics can efficiently analyze data and suspicious activities, identifying dangerous programs and undetectable malware that would otherwise go unnoticed by other important security protection measures such as firewalls and anti-virus solutions. However, developing behavior analytics solutions that are both efficient and intelligent can be difficult.

Three important components should be emphasized in well-designed cybersecurity behavior analytics solutions:

Real-time: ingested data should be available in real-time to practically instantaneously resolve the query. 

User-centric: it must be configured to answer complicated, user-centric queries.

Scalability: It must be able to easily scale up to meet the demands of customers.

Cybersecurity has become a top priority across industries, and businesses are combining technology with a strategy to combat complex and persistent threats. The need for more effective cybersecurity has only grown more evident and essential as the number of malicious assaults and cyber threats has increased.

Understanding the technologies and trends that will shape the future of cyber security is more important than ever, and behavioral analytics solutions will play a growing role in the security landscape of every company.

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