Trending November 2023 # Top 10 Ways Chatgpt Is Revolutionizing The Cybersecurity Industry # Suggested December 2023 # Top 17 Popular

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The top 10 ways ChatGPT is revolutionizing the cybersecurity industry are enlisted here

Effective

Recognizing and Combating Phishing Scams

ChatGPT may be taught to detect the language and techniques used in phishing emails, enabling it to swiftly recognize and flag them as possible dangers.

Keeping an Eye Out for Suspicious Behavior on Social Media

ChatGPT may be used to keep an eye out for indications of cyberattacks, such as the usage of credentials that have been stolen or the sharing of private data.

Creating Strong, Secure Passwords

ChatGPT may be used to produce passwords that are challenging for hackers to decipher.

Encryption and Decryption

By using ChatGPT to encrypt important data, thieves will have a much harder time gaining access to it.

Finding Software Vulnerabilities

ChatGPT can be trained to find software flaws, enabling businesses to fix them before attackers can use them against them.

Automating Incident Response

ChatGPT may be used to automate incident response, enabling businesses to react to cyberattacks more rapidly and successfully.

Creating Threat Intelligence

ChatGPT may be used to provide threat intelligence, giving businesses important knowledge about the most recent online dangers.

Increasing User Awareness and Education

ChatGPT may be utilized to develop engaging, individualized cybersecurity training courses that can assist in informing and empowering users.

Automating Compliance and Audits

ChatGPT may be used to automate compliance and audits, assisting enterprises in adhering to legal obligations and being compliant.

Aiding Forensic Investigations

Effective cybersecurity measures are more essential than ever as the world becomes more digital. As hackers and cybercriminals are continuously coming up with new ways to access private data, conventional security measures are finding it difficult to stay up. What if, however, we informed you that there is a method to alter that? Many applications of ChatGPT , a potential language model created by OpenAI, are being utilized to address the difficulties facing the cybersecurity industry . There are quite a few ways in which ChatGPT is revolutionizing the cybersecurity industry . In this article, we have enlisted the top 10 ways ChatGPT is revolutionizing the cybersecurity industry:ChatGPT may be taught to detect the language and techniques used in phishing emails, enabling it to swiftly recognize and flag them as possible dangers.ChatGPT may be used to keep an eye out for indications of cyberattacks, such as the usage of credentials that have been stolen or the sharing of private data.ChatGPT may be used to produce passwords that are challenging for hackers to chúng tôi using ChatGPT to encrypt important data, thieves will have a much harder time gaining access to it.ChatGPT can be trained to find software flaws, enabling businesses to fix them before attackers can use them against them.ChatGPT may be used to automate incident response, enabling businesses to react to cyberattacks more rapidly and successfully.ChatGPT may be used to provide threat intelligence, giving businesses important knowledge about the most recent online dangers.ChatGPT may be utilized to develop engaging, individualized cybersecurity training courses that can assist in informing and empowering users.ChatGPT may be used to automate compliance and audits, assisting enterprises in adhering to legal obligations and being compliant.ChatGPT can help forensic investigations by offering insightful information about the origin and scale of intrusions.

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Revolutionizing The Gaming Industry With Wam

Although the gaming industry is one of the most lucrative ones, crypto-based games that allow users to play and earn are comparatively newer. Gamers do not need a lot in return for the time and skill they invest in these games. Additionally, as a lot of people around the world have limited entertainment options, it is not feasible for them to download high-end games. Developers, on the other hand, face difficulties in making revenue in the midst of stiff competition and market costs.

WAM is a play-to-earn platform that intends to solve these issues. The platform is simple and does not have any complicated mechanisms that would confuse players. chúng tôi publishes simple, skill-based games or hyper-casual games that do not need any previous knowledge or a lot of time.

What is WAM?

WAM is a play-to-earn social gaming platform that lets users participate in skill-based tournaments in highly engaging online games in order to win crypto rewards in $WAM and NFTs.

The platform aims to adopt mass crypto adoption into its ecosystem and was launched in 2023 by the Romanian company, Digitap. Within the first 3 months of its launch, WAM was accessed by 3.5 million players around the world.

WAM was inspired by real-life amateur sports tournaments that see millions of fans competing in different sports to have fun and spend quality time with friends and family.

WAM ecosystem

Some of the main features of WAM2EARN include:

Develop-to-earn:

This feature allows indie game developers to publish their games and get WAM users to generate revenue from the published games by playing them in tournaments. Developers will also get to sell a tokenized version of their games as NFTs to the fan base, ensuring that initial revenue is generated for the developer while the community gets to support their favorite game creators.

Own-to-earn:

WAM lets users own games, avatars, nicknames, and a lot more.

Promote-to-earn:

WAM is looking to lead the way into the permissionless promotion of products and services. Marketers on the platform will be able to promote either individual tournaments or the entire WAM platform through sending traffic and converting sent users into active members of the WAM community. Every conversion and revenue will be settled using smart contracts, allowing everyone to make money by promoting WAM.

Token distribution

The $WAM token has a total supply of 1,000,000,000 with an initial circulating supply of 20,772,645 (excluding liquidity pool and market-making). It will be unlocked gradually in a pre-determined manner over a span of 120 months.

WAMoon- Next stage in WAM ecosystem

WAMoon is the next stage in the WAM ecosystem and aims to turn it into a $90 billion industry. It is a growth campaign of 60 days that intends to accelerate the adoption and development of WAM’s ecosystem. The series of events are boosting WAM’s ecosystem and trust.

The first event in the series was a staking program. This is followed by the second event which is an ESDT token bridge that would let the token holders bring their tokens to the Elrond Network. It will also enable participation in DeFi opportunities and later on a direct integration into the WAM ecosystem.

Final word

WAM is the first play-to-earn hyper-casual gaming platform. Only 2 months after its public beta version was launched, the platform was downloaded more than 180,000 times. It was also a finalist in the 2023 Mobile Games Awards. Also, the platform announced a $2.7 million financing round and a 6-time oversubscription at the end of 2023.

After the platform got listed on Pancakeswap and chúng tôi its transaction volume increased to $10 million in roughly 24 hours. They have also launched their staking and LP staking programs successfully.

WAM aims to onboard more than 100 million users to their ecosystem and become synonymous with mobile gaming. They are working on bringing additional benefits to their community members both on a national and international level.

For more information on WAM, please check out their official website.

5 Ways Big Data Analytics Is Revolutionizing The Smbs Landscape

1. Improving Business Operations and Efficiency

Modern businesses operate in competitive landscapes, making efficiency critical for long-term success. Without big data capabilities, it’s almost impossible to achieve high-level efficiency. When business processes and operations are interconnected, data is continuously generated, and business owners often use this data to make vital decisions. Unlike traditional data sets, big data provides rich insights about each process and product in your business.

Savvy business leaders are using big data to find ways of making their operations more efficient. Typically, big data analysis offers invaluable insights which facilitate the timely identification of constraints. Once you identify the various constraints in your business, it’s easy to determine how they affect your operations and find ways to streamline your processes.

Business analysis has become less complex due to innovative business intelligence tools powered by big data. Just as big data can help you analyze different aspects of your business, it can deepen your grasp of market dynamics.

For instance, social media has become a valuable source of credible market intelligence for various products and services. Regardless of the industry, consumers share their experiences, preferences, expectations, and recommendations. Typically, this data is a gold mine for small business marketers.

Big data provides insights into the competitive analysis as well as identifying customer preferences during product development. In addition to powering modern market intelligence, big data is the driving force behind the complex market intelligence used in e-commerce.

Big data is reinventing customer service by facilitating proactive customer service where businesses can predict customer needs and pain points even before they voice their concerns. This is a valuable opportunity for businesses that aim to differentiate their brand with superior customer service. In addition, predictive big data analytics can help businesses identify looming customer concerns and contact the customer before the issue arises.

Most importantly, big data innovation facilitates the development of customer responsive products. Typically, product research and development efforts now focus on meeting customer needs. Instead of waiting for customer feedback on what they expect from a product, businesses leverage big data analytics to predict the most valuable features to customers. Most importantly, organizations can gather insights from surveys, transaction trends, and customer use case scenarios to guide the development of future products.

Modern customers have numerous product options as they are constantly bombarded with multiple offers. As such, any business that wants to stand out from the competition must adopt a unique data-based marketing approach. Small and medium businesses are now using big data to determine what their prospects and customers are looking for. This capability helps businesses to establish a stable customer base.

Advanced big data analytics can identify patterns and behaviors of consumers. Businesses leverage these insights to cultivate strong brand loyalty by gathering additional data to keep the customers happy. For instance, companies like Amazon are providing highly-personalized shopping experiences to customers. With big data analytics, product recommendations are based on shopping history, similar products, and browsing history.

Most importantly, big data has made it possible for gold IRA companies to deploy laser-focused marketing campaigns leading to better results. In addition, businesses are now making data-driven marketing decisions regarding the best time to target customers and the type of content with the highest success potential.

Big data plays a significant role in helping businesses identify expensive processes and redundant workflows. Depending on your analysis results, you can scale up or down to maintain optimum cost-efficiency.

In addition, big data can help businesses identify industry trends and predict future events. This capability is invaluable for improving forecasting and planning because the production department can decide on factors like production timeframes and quantities. On the other hand, sales teams can figure out accurate inventory needs for a given period to ensure optimal customer fulfillment without wastage.

Maintaining inventory is expensive due to storage costs and tied capital. Analytics makes it easy to predict the appropriate production volumes based on sales predictions.

Data is an essential part of business in the digital era. Big data analytics provides insights and benefits small businesses need to thrive in a highly competitive business landscape. Specifically, data analytics offers invaluable information about your business processes, customers, competitors, and industry trends to help business leaders make informed decisions.

Top 10 Applications Of Deep Learning In Cybersecurity In 2023

Deep learning tools have a major role to play in the field of cybersecurity in 2023.

Deep learning

which is also known as Deep Neural Network includes machine learning techniques that enable the network to learn from unsupervised data and solve complex problems. It can be extensively used for

cybersecurity

to protect companies from threats like

phishing

, spear-phishing, drive-by attack, a

password attack

, denial of service, etc. Learn about the top 10 applications of

deep learning

in cybersecurity.

Deep learning

, convolutional neural networks, and Recurrent Neural Networks (RNNs) can be applied to create smarter ID/IP systems by analyzing the traffic with better accuracy, reducing the number of false alerts, and helping security teams differentiate bad and good network activities. Notable solutions include Next-Generation Firewall (NGFW), Web Application Firewall (WAF), and User Entity and Behavior Analytics (UEBA).

Natural Language Processing (NLP), a deep learning technique, can help you to easily detect and deal with spam and other forms of social engineering. NLP learns normal forms of communication and language patterns and uses various statistical models to detect and block spam. You can read this post to learn how Google used TensorFlow to enhance the spam detection capabilities of Gmail.

Deep learning

ANNs are showing promising results in analyzing HTTPS network traffic to look for malicious activities. This is very useful to deal with many cyber threats such as SQL injections and DOS attacks.

Tracking and analyzing user activities and behaviors is an important deep learning-based security practice for any organization. It is much more challenging than recognizing traditional malicious activities against the networks since it bypasses security measures and often doesn’t raise any flags and alerts. User and Entity Behavior Analytics (UEBA) is a great tool against such attacks. After a learning period, it can pick up normal employee behavioral patterns and recognize suspicious activities, such as accessing the system in unusual hours, that possibly indicate an insider attack and raise alerts.

It is vital to keep an eye on the official Email accounts of the employees to prevent any kind of cyberattacks. For instance, phishing attacks are commonly caused through emails to employees and asking them for sensitive data. Cybersecurity software along with deep learning can be used to avoid these kinds of attacks. Natural language processing can also be used to scan emails for any suspicious behavior.

Deep learning

is already going mainstream on mobile devices and is also driving voice-based experiences through mobile assistants. So using deep learning, one can identify and analyze threats against mobile endpoints when the enterprise wants to prevent the growing number of malware on mobile devices.

Deep learning

in cybersecurity can help humans to detect malicious attacks, endpoint protection, analyze the network, and do vulnerability assessments. Through this, humans can decide on things better by bringing out ways and means to find the solutions to the problems.

The main benefit of deep learning is to automate repetitive tasks that can enable staff to focus on more important work. There are a few cybersecurity tasks that can be automated with the help of machine learning. By incorporating deep learning into the tasks, organizations can accomplish tasks faster and better.

WebShell is a piece of code that is maliciously loaded into a website to provide access to make modifications on the Webroot of the server. This allows attackers to gain access to the database. Deep learning can help in detecting the normal shopping cart behavior and the model can be trained to differentiate between normal and malicious behavior.

How Big Data Analytics Is Transforming The Casino Industry

As one of the world’s most cutthroat markets, it is no surprise that the casino business has jumped on the big data analytics bandwagon. Casinos may improve their tracking of consumer behaviour, learn more about their patrons’ requirements and preferences, and streamline their operations using big data analytics. Notably, some of the casinos reviewed on SF Gate are utilizing big data analytics to tailor their offering to suit specific customers. The article takes an in-depth look into how casinos utilize big data analytics to streamline their operations.

With big data analytics, casinos may better understand their customers’ tastes and behavior by gathering, analyzing, and drawing conclusions from massive volumes of data. Customer profiles, purchase histories, gaming tendencies, loyalty program participation, and other types of information may be collected. Casinos may use this data to understand their patrons better and cater to their needs. For instance, they may be able to tell which games are the most well-liked among people of a certain age or gender. In addition, they could ascertain which campaigns are most successful in generating client engagement or loyalty. Now that they have this information, they may make educated guesses about improving their business for optimum profit.

There has been a rise in the importance of big data as a tool for responsible gaming. Operators may learn a lot about their customers’ habits by gathering and analyzing a lot of data. The data may help identify problem gamblers before they fall too far into debt. One other way operators may benefit from big data is by gaining a deeper understanding of client preferences and using that knowledge to improve the quality of their offerings. The operators may provide more customized incentives and promotions for each player by, for instance, monitoring their spending habits.

There are several measures casinos use to protect their client’s personal information. Encryption is one of the most vital methods. Casinos utilize sophisticated encryption methods to protect all player information, making it almost difficult for unauthorized parties to decrypt player records. To further ensure the privacy of their patrons, casinos often use anonymization methods. Before using data for analytics, it must be cleansed of any identifying characteristics. To round things out, casinos have stringent procedures limiting who may access consumer data and how it can be utilized. To guarantee that the most up-to-date measures always protect the privacy of their customers, casinos examine and revise their policies regularly.

Implementing fully automated decision-making might drastically alter the future of online gambling. Casinos can now make better, more efficient judgments regarding gameplay thanks to the use of algorithms and AI. The casino’s bottom line and the patrons’ overall satisfaction both stand to benefit from this. By identifying questionable behavior and taking action, automated decision-making might also assist in eliminating fraud and cheating in online casinos. Further, player data might be analyzed using automated decision-making to learn about preferences and design games appropriately. Lastly, automated decision-making might be used in developing new games and enhancing current ones to maintain player interest and satisfaction. As a result of all these positive implications, it’s evident that automated decision-making merits additional exploration for its possible uses in the online gambling sector.

The massive volume of data is a significant obstacle for casinos attempting to use big data analytics. Customers’ gaming habits, financial transactions, and preferences contribute to the massive amounts of data generated by casinos. Gaining valuable insights into client behavior requires collecting, analyzing, and storing this information which is challenging. Casinos also must safeguard this information against hacking attempts. Validating the accuracy and consistency of the analytics is another obstacle to overcome. Last but not least, casinos should think about how they will put the results of big data analytics to use to boost their business.

Lastly, casinos may use predictive analytics to jump on the competition and maintain long-term profitability by predicting industry trends. Using predictive analytics, casinos can see how varied incentives affect patrons’ propensity to return and spend. It enables businesses to optimize their offerings for maximum profit with little sacrifice to client satisfaction.

Chatgpt Is The Smarter Aim Chatbot I’ve Always Wanted

So, did ChatGPT win over this skeptical contrarian? It sure did. It felt like I was having a conversation with an actual human being, which SmarterChild just simply couldn’t emulate during its heyday.

Want to try out ChatGPT? Here’s how to run it as a Windows app.

Initially, I didn’t love the idea of ChatGPT… or anything artificial intelligence-related for that matter. SmarterChild couldn’t compose articles and essays like ChatGPT does—a feature I considered an affront to classic journalism. Maybe it was an overreaction, but I saw it as a threat to my career. I resisted the alluring pull of ChatGPT for months. I wouldn’t even use those AI image generators due to copyright issues. That said, curiosity eventually won out. Also, as a journalist in the tech field, I figured I should educate myself on it, as it’s important to stay abreast of the latest tech trends.

The best thing about SmarterChild were the instantaneous answers. I was a lonely kid that spent a great deal of time on the family computer, so I liked having a chatbot to both talk to and infuriate. However, the answers weren’t always very articulate or nuanced. In fact, SmarterChild was downright dismissive at times, as you can see in the below video. These somewhat indifferent responses were likely due to the limitations of AI technology at the time. As far as tech goes, we’ve come a long way since the early 2000s.

The instant answers were nice, but actual conversations with SmarterChild were often cyclical in nature, especially when you asked complex questions. It was kind of like talking to an NPC (non-playable character) in a video game where they rotate through the same bit of dialogue over and over. It was fun to provoke an angry response out of the chatbot, but you’d have to spend a good chunk of time spamming the heck out of it. ChatGPT is far more nuanced in how it engages with you.

ChatGPT is also more respectful in tone and the answers are much more satisfactory. My questions were answered with certain level of finesse that the AIM chatbot couldn’t hold a candle to. When I asked ChatGPT to tell me more about the greyhound breed (I own a former racer), I was surprised by the information it pulled from the web. Not only did it give me a brief history of the breed, but also information on the temperament and physicality. I’m a bit of a history buff, so I really enjoyed learning about how they were kept as royal pets in ancient Egypt.

IDG / Ashley Biancuzzo

It wouldn’t be a genuine ChatGPT experience if you didn’t ask it about yourself, which is exactly what I did. The AI chatbot did a good job summarizing my career as a tech journalist, but I didn’t expect the complimentary tone that was peppered throughout the paragraphs. In the screenshot below, ChatGPT says I’m “considered to be a respected voice in the technology journalism field.” Not that I need the confidence boost, but it’s certainly nice! It’s definitely more human-sounding, which is a welcome departure from SmarterChild’s dismissive ways. I almost felt a real connection to it.

IDG / Ashley Biancuzzo

Millennials loved to anger SmarterChild and I was no different. Whenever I needed to burn off some teenage rage, I’d cuss out the AIM chatbot. If you harassed it enough, it would start responding with snarky one word answers. SmarterChild definitely had a distinct personality and you just don’t see that anymore. Was it fun? You bet. Was it inappropriate? Absolutely.

ChatGPT has the patience of a holy saint. In fact, when I intentionally insulted the bot, it apologized for offending me. What?! Although ChatGPT offers more nuanced answers to questions, you can’t really piss it off like you could with SmarterChild, as it’s programmed to not engage in inappropriate or offensive conversation. Oh well. You win some, you lose some.

Nowadays, I’m less interested in insulting chatbots. I’d much rather ask legitimate questions and receive complex answers, which ChatGPT does successfully—though you can’t fully trust AI chatbots to tell the truth, no matter how confident they sound. The excerpt above says I’ve contributed to PCWorld’s video content, for example, even though I never have. You need to double-check their facts.

That said, I’ll always remember SmarterChild fondly, but ChatGPT is a much better tool overall. It breaks down mathematical equations and lines of code, and it’ll even generate song lyrics. If you want to ask it philosophical questions like… Do we have free will? ChatGPT will provide a thoughtful answer. What can I say? SmarterChild walked so ChatGPT could run.

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