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The advantages and disadvantages of Artificial Intelligence in Cyber Security

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The advantages and disadvantages of Artificial Intelligence in Cyber Security

In a field like cybersecurity, where a company’s operational integrity depends on their ability to detect, protect, respond, and govern data from root to stem, it is no surprise that machine learning and artificial Intelligence in cyber security would rise to great prominence.

It was always inevitable that Machine Learning (ML) and/or Artificial Intelligence (AI) in cyber security would be used given that; one, the cyber-battlefield is fierce, fast, and ruthless, and two, the sheer volume of attacks that companies must fend off daily.

ML/AI in cybersecurity can predict and fend of attacks, free up employees for more complex tasks while offering integral assistance in vulnerability management, and scan endlessly larger incoming data more quickly and accurately than any human.

Since the beginning of the pandemic, we have seen a sharp rise in cybercrimes overall. While the most well-known of it began and ended during the first year of the pandemic, there has been a steady threat lurking in the cybersphere since.

This can be owed to many factors, including the increased digital adoption through remote work and contactless solutions, and the overall surge in digital transformation. This of course accentuated the already severe shortage of cybersecurity professionals.

AI can process enormous quantities of data and filter out all the outlying issues to be examined by professionals of the field. A cyber security team, given the shortage of talent in the cybersecurity field, would be hard pressed to assess a fraction of that amount.

With the emergence of smart cities, automated factories, farms, and mines, as well as the digital first approach to businesses and consumers, no amount of manpower can sustain a long-term security strategy, less so as time moves forward.

The scale of data creation today, 2.5 quintillion bytes per day according to Statista, helps the teaching process tremendously. AI’s ability to use machine learning can give it an edge against hackers who might modify and re-release a previously unsuccessful cyberattack, especially since AI can learn over time and adapt its findings to a new situation.

When something out of the ordinary happens or an unfamiliar threat targets a company, cyber-AI has a better chance of detecting it as a threat, and responding accordingly, more quickly. The AI has learned what threats look like and can identify similarities that a human might miss.

So, AI does what AI does, and takes care of the bulk donkey work while the professionals are given more time to tend to their responsibilities that require some innovative and intuitive thinking to solve.

Artificial Intelligence in cyber security is also the best suited for the coming spike in biometric data, which is a method of identity authentication that is fast replacing passwords.

Weak passwords are responsible for around 80 percent of all cyberattacks taking place according to ID Agent, Cybersecurity and Digital Risk Protection Solutions Company, and so coming into the new era of authentication, AI will surely play a larger role in the coming decades.

The thing about ML/AI, as the abbreviation suggests, is that it learns over time, and not just from its own database, but any database it is connected to no matter how large. As a self-learning system that takes from the massive pools of data and teaches itself, but there is a major dark side to this reality.

Challenges of AI in cyber security

As with all arms races, however, defensive, and offensive capabilities tend to evolve in parallel. As companies fortify their data and sharpen their skills in detection, protection, and response, cybercriminals continue to develop tricks of their own, and bring their own big machine-learning guns into the fight.

AI can be used by hackers to conduct far more sophisticated attacks more quickly and can apply machine learning techniques to create more effective attack models. It can study its target much like the defenders.

It is entirely possible for a hacker to corrupt or position the AI’s data bases tricking the AI into passing up a threat as safe or vice versa.

Biometric authentication can be stolen and copied; a crime known as “spoofing” in cybersecurity. One can’t just change a fingerprint it or eye color, let alone their face, as much as some celebrities would disagree.

At the most recent RSA Conference, Hugh Thompson, CTO of  Symatec, outlined how a hacker used Deep Fake technology to impersonate a company CEO’s voice and steal millions of dollars from right under employees’ noses. In a remote working environment, a quick phone call with an authoritative tone might be all a hacker needs to cash in big.

While this example is on the tip of the iceburg as other hackers use automated attacks, AI powered phishing campaigns, and far-reaching ransomware attacks.

Perhaps the future of artificial intelligence in cyber security looks like two massive  artificial brains battling it out until someone loses their bank account. A world of Good AI and Bad AI seems like a scary one, especially at the speed scale and stake of everything.

AI is truly the future of our species. It is a beautiful thing to imagine all the abundance that we can enjoy when humanity’s relationship with AI settles into a symbiotic relationship like that between a bee and a flower. Until then, hold onto your hats, because the robots are fighting it out.

Junior social media strategist with a degree in media and communication. Technology enthusiast and freelance writer. Favorite hobby: 3D modeling.

Cybersecurity

Password Management in Network Security

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Password Management in Network Security

When it comes to ensuring the highest levels of cybersecurity for any establishment, password management in network security is one of the most paramount factors in guaranteeing security. As one of the essential cybersecurity measures, password management is a critical element for any online activity, whether for software or hardware. Everything is protected with a password.

What is Password Manager and How does it Work?

To those not familiar with the concept, password management’s significance exceeds the creation of a strong password to protect your data or account. It is a cybersecurity system. A system that manages any saved login credentials, all while guaranteeing a safeguarded relocation of data from one device to another. When coming up with a valid password, a few factors must be taken into account, such as the potential of being exposed to high risks and identity theft.

For any establishment, the correct password manager helps to monitor any activity and amounts of logins for servers people work on. As a software application, it is developed for storing and managing online credentials. With the increased available platforms and programs requiring safety credentials, the risk of losing or forgetting a password has never been higher. User password management, such as Google password manager, helps users with a handful of passwords for essential web applications.

By providing the needed digital space to generate and store any, and all passwords in one location, password management in network security keeps any data safe and secure in various ways, including biometrics data.

Why Use Password Manager?

Through the encryption of users’ logins, a reliable password manager protects your credentials and cannot be accessed until the master password is submitted. In this case, no password is stored on the device itself or even on the manager’s servers. While some might think that storing all of your important passwords in one place might be hazardous, the truth is, password managers are the safest bet to safeguard all your passwords, as the chances of a password manager being breached are extremely low and almost very unlikely to happen.

Without getting into all the technical terms as to why password managers are the safest option, these applications can be perceived as the lesser evil. While users will still need to create one master password – preferably to be long and a bit complicated – it will guarantee the protection of any login credential for any account or credit card information.

The ideal password managers to download are backed by two-factor authenticators, where users are asked for a one-time code alongside the password whenever a new login into a new device takes place.

Password Management Best Practices in Network Security

In terms of obtaining the highest level of protection for network security, few practices are applicable to almost anyone to ensure the highest level of user password management.

1. Training

Training the team and raising awareness of potential password threats is one of the most important things to consider. Team members working on network security have to understand the risk of cybersecurity and the importance of implementing the right measure to protect and secure any account credential.

2. Enforcement of Reliable and Strong Passwords

Enforcing the creation of strong passwords and establishing they follow the best practices for network security to protect the network and its data while respecting the integrity, confidentiality, and accessibility of the network’s computer systems.

This includes performing a thorough network audit, deploying network and security devices, disabling file sharing features, updating antivirus and anti-malware software, securing all routers, using a private IP address, and finally establishing a network security maintenance system.

3. Multi-factor Authentication

Endorsing your password management with two-factor authentication is like adding another solid layer of protection to your accounts and their passwords. Multi-factor authentication ensures that only people responsible for the network have access to its sensitive data.


Inside Telecom provides you with an extensive list of content covering all aspects of the tech industry. Keep an eye on our Cybersecurity space to stay informed and up-to-date with our daily articles.

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Cybersecurity

How to Check a Suspicious Link Without Opening it

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We are all well aware of the troubles opening a fishy link can lead us to.  Luring users to click on a given link has been of one the well-known techniques to get access to the device, install virus and malware or even go as far as creating a full ransomware attack. To protect your computer and private information, there are multiple techniques to check links without opening them. What is important though is never to open the link if it is suspicious.

When you are not dealing with a shortened URL, the best way to go thoroughly through the link to see if there is any spelling mistake. Attackers usually tend to change a minimum number of letters so that you are unable to tell the difference. For instance, things like www.goagle.com instead of www.google.com should catch your attention with the second ‘o’ of Google replaced with an ‘a’.

Emails are the best sources for phishing attacks. These kinds of attacks are used to steal some sensitive information such as passwords and credit card information. The best way to avoid these kinds of attacks is to authenticate the sender. For that purpose, do not only check the name of the sender, you need to double-check the email the sender is using. In general, attackers use credible sender names with emails which do not correspond to the promoted identity. Next time you get an email from your bank like “XBank”, check that the sender email is person@Xbank.com rather than person@anyothermailclient.com.

Many websites actually provide link checking or link scanning features. This is a very neat technique to simple check the link before clicking on it.

VirusTotal

www.virustotal.com  is an excellent website for this task. This online tool practically does the job of an anti-virus. When you go to the website, you have the possibility to analyze files and URL for malware or any other security breach. Once you submit your file or enter the URL, the website will use different tools and software, then provide you with a detailed output from each of these tools. If you are unsure if a given software is credible enough, you can compare it to the output of other platforms on a single website.

Use a Short URL Expander

Sometimes attackers try to shorten URLs to hide any malicious intention. Analyzing shortened URL is not straightforward. To overcome this problem, copy the provided URL without opening it and use specific websites that actually expand the provided URLs. Then, you can analyze the original URL for possible security breaches.  Many websites are there to do this task. Just search for “short URL expander” on your search engine and use the top provided websites.

Upgrade your Anti-Virus with Internet Security Features

Anti-virus software is commonly used to protect personal computers from viruses and other malware. While these are available for free, you can easily upgrade them to include internet security features for a small monthly fee. This will bring major improvement to your internet browsing experience including custom-made safe browsing tools.

Use Google Transparency Report

Google provide a nice tool to check for the safety of websites. To do so, visit https://transparencyreport.google.com and enter the URL in question. The Google source will then provide you with a safety report of that website.  

The nicest solution is kept to the end. When you hover over a link in your email client or web browser, a small square appears including all the information related to the chosen URL. These details can be used to give a preliminary indication whether to trust the source.

Final Thoughts

Suspicious links are everywhere! To make sure they don’t catch you by surprise, follow the highlighted and you’ll be safe to go.


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Cybersecurity

Disadvantages of AI in Cybersecurity

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Cybersecurity and artificial intelligence (AI) are two very trending topics at the moment. AI has been the pivotal elements modifying business strategies, improving decision-making processes, and triggering automation in every industry in the world. The latest sentience debate is a clear indicator on serious and advanced AI is becoming nowadays. Cybersecurity is the other important element of today’s technological world. With an increasing reliance on data and the move to online services that require an individual’s biometrics, security essential in preventing data thefts and associated cybercrimes. AI has undeniably improved cybersecurity practices by allowing a real-time analysis of internet traffic to discover possible threats at the earliest and take defensive actions. This important learning process hides however several disadvantages of AI in cybersecurity.

What Are the Downsides to AI in Cybersecurity?

The touted advantages of AI in cybersecurity are real and very useful. However, the increasing adoption of AI solutions for security is actually causing problems at different levels.

Hackers Use AI as Well

When it comes to maturity in technology, hackers are the best at it. These individuals sitting behind computer screens logging data and doing advanced analytics to identify any loophole or vulnerability they can use to their benefits. The use of AI as far as cybersecurity is concerned is a double-edged sword. It is actually a race of who can develop a better algorithm that caters better to the data which is circulating online. In this sense, the use of AI is a big threat to security.

Another issue is that while a company is analyzing and learning from data to discover threats, a hacker is concurrently analyzing the company’s cyber-defense mechanisms and policies to find “open doors’ that will take it into the system to complete the intended attack.

Data Confidentiality

AI algorithms are associated with the analysis with large volumes of data, a key requirement for the developed algorithms to produce accurate outputs. The data a company deals with contains normal traffic related to daily transactions and activities, but also sensitive information related to the clients including their biometrics and personal information. What happens to our data when it goes to the AI-agent though is another thing. Protecting the data is key when AI is used for cybersecurity reasons. The secrecy of the clients’ data should not be compromised for any reason.

Increasing Need for Data

The field of cybersecurity is constantly evolving with ingenious attacks and threats emerging every now and then. Browser-in-the-browser attacks and increasingly advanced ransomware attacks have been notable examples in 2022. In order to discover attacks at a later stage, the AI algorithm needs to have data to do the proper training. The increasingly dynamic environment with threats emerging and evolving will lead to a surge in the required volumes of data, which can potentially not be readily available to have a fast response to the attack itself. Whether it is the ability of AI to keep track of the exponential growth in data or the availability of data for the AI-algorithm to produce results is a big disadvantage of this approach for cybersecurity

Will Cybersecurity be Replaced by AI?

With the drive towards more and more automation, it is questionable whether this can be applied as well for cybersecurity practices. AI can certainly assist in processing and learning from data and produce insights. However, the real decision maker in such as sensitive area where no errors can be tolerated is the cybersecurity expert himself. The only way for AI to replace cybersecurity is when it becomes sentient or developed enough to think and act like humans do. There is still a long way for that to concretize.

Explainable or interpretable AI is a key intermediate step in reaching this target. First, we need to understand how AI produces results. Proper cybersecurity practices require a reduction in bias while optimizing the performance of the algorithm.

How Will AI Affect Cybersecurity Jobs?

The adoption of AI will certainly cause major shifts in the cybersecurity job market as in the case in other industries, but probably at a smaller scale. The level of skill and experience needed to thwart cyberattacks will safeguard the need for security experts to provide the final decision regarding suspicious data patterns.

On the other hand, the incorporation of AI will call for new skilled workers that can manage and optimize the performance of the algorithms. Another alternative would be for existing workforce to be upskilled and retrained to handle the new analysis tools.

Summary

As data is becoming the basic unit for decision making, AI has invaded all industries and businesses, including cybersecurity. Companies are starting to incorporate learning algorithms to their offered services in order to have a more intelligent management of the different security threats. However, the role of AI in cybersecurity should be considered with enough judgment. The addition of AI would increase the complexity in the data management process, notably in terms of data privacy and the continuous need for more data.


“Inside Telecom provides you with an extensive list of content covering all aspects of the tech industry. Keep an eye on our Cybersecurity and Artificial Intelligence space to stay informed and up-to-date with our daily articles.”

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