Top Mobile Security Trends You Should Consider

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( — March 12, 2020) — Nowadays, multiple corporations choose to create their mobile applications, since such solutions are helpful, income-generating, serving to stay closer to customers. App owners shall always remember about current security norms and requirements to provide a high-quality security level for their users.

We shall distinguish today’s top mobile security tendencies to keep an eye out and to satisfy the requirements of the business you own. Here they come.

Configurable mobile protection

Security system of an application has to be adaptive, meaning, it shall act accordingly to respond to possible security hazards.

Regular risk management together with data security are what it takes to keep the framework customizable and adaptive. Another task to manage is cyber-attacks’ prevention. To guarantee a service trustworthy protection, a platform shall permanently be on guard and stay vigilant regarding potential program vulnerability.

Private data securing

Nowadays multiple cloud frameworks serve to store diverse data, say, business, financial, private, etc. Such corporate digitalization is still exposed to info leakages, thus, confidential data security belongs to one of the most topical issues for the time being.

You might have heard of data masking and encrypting. The technologies are quite decent, however, cyber crooks never stop inventing new approaches of data-stealing, thus, data protection shall develop even faster.

The most common cyber attacks include the following:

  • unlawful money receiving;
  • secret mining;
  • different types of racketeering;
  • data-stealing with intent to resell it;
  • corporate espionage.

Over time corporations get more and more databases in their infrastructures, so it often happens that one company has multiple databases each of which completes its particular task. Every database has to be protected, thus, you better be prepared to invest time and money in your protection campaign.

A great approach to ensure your mobile app security is to keep several databases on one server. The mentioned technique simplifies management arrangements harnessing the resources effectively.

Decent phishing securing

Phishing threats belong to the most hazardous attacks. Those threats are aimed at receiving information, say, users’ logins, emails, credit cards’ details, and the like. Did you know that every 20 seconds one forged platform shows up? Moreover, every year the picture only worsens.

Here’s what you should remember about when dealing with phishing attacks:

  • In addition to email phishing attacks the hazard steps up to the new mobile level, and the majority of app owners aren’t ready for such a twist.
  • Another common danger is SIM Jacking when frauds call mobile operator convincing them a specific SIM card has been cracked, thus, they ask to redeploy a phone number to a new card. If succeeded, a cyber crook will steal data on users’ emails, social activities, mobile services’ accounts, and more.
  • Scammers might also use diverse events to their own advantage. Who hasn’t heard of the oncoming 2020 Olympic Games? Let’s say, a fraudster develops a fraudulent platform to sell that event tickets. His supposedly promotional letters contain deleterious links, and great m-security can barely stave off possible adverse effects. In such cases, users themselves must be careful and watchful.
  • Hackers can hide behind famous brands. How sneaky they are to use world-known names, say, Google and Apple. People do trust those corporations and feel safe to obtain text messages from them.
  • Phishing hackers have learned to apply encryption to achieve their dark objectives. Criminals never stop coming up with new approaches of carrying out their attacks. They also manage to take advantage of HTTPS control-based platforms.

Confronting mobile malicious software

Market researches predict fraudsters to apply remote access to disseminate their malicious programs. Furthermore, some scammers want to design and sell their malware to those frauds who aren’t very good at programming for them to conduct their fraudulent activities.

The malware serves for different purposes. Let’s learn more about them:

  • Accessing sensitive data. In most cases, those programs are created to thieve users’ private details, say, financial ones and others;
  • Impeding access to vital info. That’d be ransomware: scammers demand money to renew users’ access after they pay;
  • Causing difficulties in applying services. Those are adware programs that aren’t of danger for customers, however, they do know how to annoy users. Moreover, those programs might contain unsafe links.

In 2018 developers started to take specific measures to fight malware issues by installing security instruments into the hardware itself, and that work continues even today. Such a technique shall preclude program frauds, and ensure trustworthy authenticating and authorizing procedures.

SoC method

Bearing in mind today’s market conditions, cyber threats’ identification and proper responding shall come on the front burner. Thus, various processes connected to SoC activities are worth being considered seriously.

Referring to the Security Operation Center, the technique represents three vital elements:

  • the enhancement, as well as adjustment of various security methods;
  • recruitment of staff to be in charge of data protection;
  • the establishment of adequate security benchmarks to design and manage simple and straightforward proceedings for hacking attack preventions, together with appropriate reaction to them.

Biometrical identifying procedures

Biometric technologies for users’ identifications have built a good name over the last years they’re applied. Apple’s Face ID solution is a bright example of such method application.

Significant positive changes are expected this year while establishing a versatile biometrical framework that multiple countries are looking for and are ready to provide legal support to.

The given solution shall identify people by biometrical indicators, meaning, every biometric detail will be amalgamated into one integrated database. The system is designed to facilitate users’ engagement with specific financial facilities since all transactions’ processing shall be considerably expedited. Eventually, customers’ identification will no longer need passports, cos voice and facial parameters of a person will be compared to the information from the database.

Such identification technique is presumed to be pretty robust, provided that financial corporations will manage to ensure proper and secured details obtaining, storing, and transmitting of users’ biometrical information.

Identity Management

Unquestionably, great m-security demands credible multi level authenticating procedures, as well as smart gadget identifying processes. Those aspects turn to be essential when dealing with business programs. Therefore, no one is surprised as to the rapid growth of Identity Management (or simply IDM) solutions. Those advanced systems apply innovative identifying methods.

The reality is that currently, the authentication approach isn’t customer-oriented anymore. It’s built upon machine elements. So, the IDM solutions enjoy the technology to its best advantage.

Nowadays businesses are widely adopting multiple IDM services for:

  • simplifying the management of corporate processes related to mobile gadgets;
  • automating the access providing for customers in accordance with the business regulations;
  • eliminating human component mistakes;
  • withdrawing excessive access from those individuals whose status has been changed, in case of dismissal, for instance, or the function changes.

Implementing Machine Learning technologies in mobile data protection

Multiple security providers are happy to apply the machine learning technique since it enables companies to create truly responsive and adaptable menace detecting solutions.

Protection built on machine learning technologies serves for:

  • monitoring all processes to identify every threat;
  • processing & analyzing information in a more efficient way;
  • predicting potential menaces, as well as cyber-attacks.

Unfortunately, there is another side of the picture – scammers also figure out specific ways to exploit machine learning to their advantage.

Hackers use those technologies for launching phishing frameworks, designing malicious software to get past signature detections, searching for vulnerable points of the codes. One day machine learning techniques might be used to analyze multiple web and mobile software and to find which one is the most vulnerable to hack.

App owners have to be able to face that challenge.

And always remember about continuous improvements, since that’s the way to stay up-to-date to ensure the most secure mobile protection.