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5 Network Security Threats Your Company Can’t Afford to Ignore

5 Network Security Threats Your Company Can't Afford to Ignore
Image Credits: TC Consulting

Nowadays, we all need technology to work since companies are becoming more dependent on the Internet for their operations. Things like the rise of remote work, IoT devices, and cloud computing increase the need for robust network security measures. But unfortunately, despite the proliferation of security tools, many companies still fall victim to common network security threats. 

These threats end up disturbing the business operations of companies, compromising sensitive data, and damaging their reputation. Today, we’ll examine five network security threats that companies can’t afford to ignore. Our goal is to help you understand the risks and implement effective security measures. By doing so, you’ll be able to safeguard your network and protect your company against potential threats. 

Phishing Attacks 

Let’s start with phishing attacks, which are one of the most common threats out there. These attacks typically involve a hacker trying to replicate a trustworthy source, such as a bank or even a fellow employee. These hackers try to trick the victim into divulging sensitive data making them think that the requester is a valid entity. The attackers usually go for information such as credit card numbers, passwords, and other sensitive data. 

Phishing attacks come in all shapes and sizes; emails, social engineering, and SMS phishing (smishing). Although this feels like a very basic way of getting access to sensitive data, phishing attacks are usually very convincing. Attackers use tactics such as urgency, authority, and fear to make the victim feel compelled to provide the information as soon as possible. 

The consequences of a phishing attack are often severe, ranging from financial loss to reputational damage. The best way to avoid phishing attacks is to train employees on how to spot suspicious emails or links and avoid downloading attachments from unknown sources. It also does not hurt to implement anti-phishing software or multi-factor authentication.

Insider Threats

While companies always go for external threats first, it is essential to prevent risks posed by insider threats. To explain, an insider threat is when a security incident originates from within the organization itself, such as employees, contractors, or business partners. 

Insider threats are various accidental data leaks to malicious, intentional attacks. For example, remote users might accidentally expose sensitive data through unsecured Wi-Fi connections or share protected files with unknown individuals. Additionally, a malicious insider may intentionally steal, leak, or sell insider data, disrupt business operations, or cause financial damage to the company. 

Insider threats are significant as they result in financial losses, data breaches, or even legal repercussions. In order to minimize insider threats, it is important to implement access restrictions to sensitive information, always monitor network traffic, and provide ongoing cybersecurity training to employees. But more importantly, there should be a culture of security accountability throughout the company. 

Malware Infections 

Malware is a broad term, and it is one of the worst network security threats. It refers to any software that is designed to damage computer systems, networks, or other devices. They can take many forms, such as viruses, worms, trojans, and ransomware. Malware infections happen when the user downloads or installs a malicious file or clicks on a malicious link. 

Once the user clicks on the link or downloads the file, the malware starts infecting the whole system. The infection causes a range of problems, such as losing access to the device, system crashes, or data theft. Worst, malware can also cause the attacker to access sensitive information directly or take control of the system completely for unauthorized purposes. 

The best way to prevent malware infections is to use up-to-date antivirus and anti-malware software. But beyond the tools, the best practice is to avoid downloading files or clicking on links from unfriendly sources and keep all applications updated. It is also critical to conduct regular security audits on the network to detect vulnerabilities in the system that malware can go through. 

DDoS Attacks

A Distributed Denial of Service (DDoS) attack is a cyber-attack that aims to disrupt the functioning of a website or a server by overflowing the network with traffic. DDoS attacks usually involve a network of compromised devices controlled by a cyber-criminal. During a DDoS attack, the network becomes unavailable to normal users since the hacker overwhelms the network with unexpected traffic. 

DDoS attacks can cause a great deal of damage to business operations, especially for companies that rely on the availability of their website for sales, marketing, and customer support. 

Unfortunately, DDoS attacks are very challenging to prevent since they are done through multiple devices located around the world. On that note, companies can still minimize the impact of a potential DDoS attack by using Content Delivery Network (CDN) to distribute the overwhelming traffic. It is also suggested to use DDoS mitigation services to block attacks in real time. 

Ransomware Attacks

We already talked about malware, but ransomware is a significant threat on its own since it has a greater risk of resulting in considerable financial loss. Ransomware attacks happen when a hacker gets access to a device, locks out the user, and demands a ransom to give the access back. These attacks are initiated through phishing scams and software vulnerabilities. 

Once a device is infected with ransomware, all the files get encrypted by the hacker and become inaccessible to the user until the hacker gets paid a ransom. To avoid the consequences of a ransomware attack, companies should prioritize the implementation of robust recovery and backup plans. This will help them recover the files even if they lose access completely and save them from the hefty ransom the attacker demands.  

If a ransomware attack occurs and you don’t have a backup, it is advised not to pay the ransom and request assistance from law enforcement or online cybersecurity services. However, the best thing to do is always be proactive and implement robust measures to reduce the risk of falling victim to ransomware attacks, as it is one of the prominent reasons for disrupted business operations.

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Meta to Stop Sharing News on Facebook, Instagram in Canada to Comply with Bill C-18

Meta stop sharing news Facebook Instagram Canada
Image Credits: Stock Images

Canadians will no longer be able to share news on Meta‘s platforms as a result of the planned action. This follows the Canadian federal government’s adoption of a new law requiring payment to domestic media organizations for the use of their content on digital platforms. 

In a statement, Meta, the company that owns Facebook and Instagram, said, “We have repeatedly shared that in order to comply with Bill C-18, passed today in Parliament, content from news outlets, including news publishers and broadcasters, will no longer be available to people accessing our platforms in Canada.”

The Online News Act is a part of a larger initiative by the Canadian government to control the digital sphere and curtail the authority held by tech monopolies. The government has enacted several laws in addition to this one. It had previously approved legislation requiring streaming services like Netflix to advertise Canadian content to their local subscribers. 

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Additionally, it is one of numerous suggestions being considered globally to help failing news organizations by mandating social media companies to negotiate with media organisations for compensation for the content that is shared on their networks. 

As a result of the internet’s development and the success of organizations like Facebook and Google, the advertising revenue that has long sustained media organizations’ operations has been affected, prompting them to demand that Silicon Valley’s powerhouses share more of their profits with them.

Tech behemoths will be required by Canadian legislation to negotiate fees with media organizations in return for posting or linking to their content. If those negotiations fail, the parties are required to participate in binding arbitration to decide on the appropriate compensation.

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YouTube to Soon Add AI-powered Dubbing Service 

YouTube add AI-powered dubbing service
Image Credits: YouTube

With the aid of AI, YouTube aims to make it simpler for users to dub videos in different languages. The company said at VidCon on Thursday that it is hiring the team from Google’s Area 120 incubator’s AI-powered dubbing service Aloud for the job.

According to the website for Aloud, this is how it functions. The video is initially transcribed by the programme, which then provides users with a transcription that can be checked and adjusted. The dub is then created after translation. The specifics are in the video above.

According to YouTube’s Amjad Hanif, hundreds of creators have already participated in testing the service. According to spokesperson Jessica Gibby, Aloud is currently available in English, Spanish, and Portuguese. Hanif also claims that although Aloud supports a few languages, there are more to come in the future.

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Aloud could be a helpful tool even with its limited language selection as more and more creators add multi-language dubs to their videos. Additionally, users may listen to a sample of Aloud’s output by seeing this video from the Amoeba Sisters channel and listening to the Spanish dub track. 

YouTube is eventually “working to make translated audio tracks sound like the creator’s voice, with more expression, and with lip sync,” according to Hanif. According to Gibby, those features will be unveiled in the year 2024.

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Ford to Get $9.2 Billion US Government Loan for Battery Plants

The US Department of Energy announced that Ford would get $9.2 billion as part of a conditional loan to help with the development of three enormous plants to produce batteries for electric vehicles. Since the bailouts following the 2009 Great Recession, the enormous loan is the largest government grant given to an automaker.

The loan comes from the Advanced Technology Vehicles Manufacturing (AVTM) programme of the DOE, which is well known for helping to establish Tesla and more recently giving a boost to a partnership between General Motors and LG Energy Solution to help fund the development of a new lithium-ion battery manufacturing facility.

The loans are a part of a larger initiative by the Biden administration to increase EV production as it tries to catch up with China, which now dominates around three-quarters of the world’s battery production. It’s also a key component of the White House’s strategy to support sustainable energy in the face of the worsening climate problem.

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Ford has stated that it will invest $11.4 billion in three battery plants, two in Kentucky and one in Tennessee, along with South Korean battery producer SK Innovation. The two businesses intend to develop enough capacity through a joint venture named BlueOvalSK to supply 129 GWH of capacity annually, which would be sufficient to power 2 million EVs yearly by 2026.

Ford stated that it appreciated the financing. According to Ford’s treasurer Dave Webb, it’s going to help make great EVs available to more customers while powering thousands of well-paying jobs and American manufacturing. “Collaboration between the public and private sectors has historically expedited significant technological transitions. The DOE’s insight in this area will assist in facilitating the switch to zero-emissions transportation,” he said

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Networking in the Data Science Community: Tips for Finding Job Opportunities 

Networking in the Data Science Community Tips for Finding Job Opportunities
Image Credits: Emeritus

Network = Networth

Networking is a skill and is crucial in every profession.

As the field of data science continues to grow and evolve, networking has become increasingly important for professionals looking to advance their careers. Networking enables people to connect with other professionals, keep abreast of emerging trends and technology, and access employment openings that would not otherwise be made public.

This blog will offer advice and techniques for networking within the data science community to assist you in advancing your career and finding job possibilities. These pointers help establish connections and foster meaningful interactions within the data science community, regardless of whether you are a data scientist, data analyst, data engineer, or any other type of data professional. Let’s look at how you might use networking to get employment in the fascinating subject of data science.

Join Data Science Communities

Joining data science groups is one of the best methods to network. People who share a common interest in data science and are keen to network with others in the industry make up the data science community. By joining these communities, you can expand your network, learn new skills, get expert feedback, Collaborative opportunities, and access job opportunities.

You may join several local and online data science communities. Stack Overflow, GitHub, and Kaggle are a few well-known online communities. You may network with other data professionals through these forums, work together on projects, and show prospective employers your skill set. Offline networks like Meetup groups, data science conferences, and regional data science organizations offer chances to interact in person, attend workshops and speeches, and connect with regional data science experts.

Therefore, it is essential to engage in a data science community actively. This entails interacting with neighbors, imparting knowledge, gaining skills, and participating in initiatives and debates. You may position yourself as a thought leader in the community and develop connections with other data professionals by actively engaging. You may remain current on the newest industry trends and innovations by participating in these communities.

Attend Data Science Events

Another efficient strategy to network in the data science community and discover employment prospects is to attend data science events. These gatherings allow networking with other data experts, where you can find innovative tools and methods and meet prospective employers.

You may attend various data science events, such as conferences, meetings, and seminars. The yearly Data Science Summit and regional data science meetups are prominent data science events. These events cover trending topics, best practices, etc. These events are fun and provide you with a lot of value.

Preparing to get the most from data science events is essential. This entails doing your homework in advance, selecting the speakers and themes that appeal to you, and preparing inquiries to pose during question-and-answer sessions or networking breaks. Additionally, you can prepare your elevator pitch to describe your qualifications to potential employers or business partners.

Furthermore, being involved and present throughout the event is crucial. This includes paying attention during presentations, participating in Q&A sessions, and making small talk with other participants. You may establish yourself as an active member of the data science community and create connections with other experts by being involved and present.

Utilize Social Media

And it will be really easy for you. LinkedIn, Twitter, and Reddit are a few of the well-known professional social media platforms for networking in data science. Because it enables you to connect with other data professionals, discuss your skills and expertise, and highlight your work through a personal profile, LinkedIn is beneficial for professional networking. Conversely, Twitter and Reddit allow users to interact with people in the industry, participate in conversations and debates, and keep up with the most recent data science ideas and technology.

You need to have a strategy for using social media while networking. This includes having a specific objective in mind, figuring out who the major players in your sector are, following the major players like Mu Sigma, Quantiphi, Tiger Analytics, etc., and actively interacting with them. For instance, join data science groups on LinkedIn, participate in Reddit debates about data science, or follow and interact with thought leaders on Twitter’s data science community.

Being aware of your brand and internet presence is also crucial. You should do this by ensuring that your social media profiles are current, appropriate, and consistent across all platforms. Also, posting your ideas and achievements can make you stand out and help you to get more opportunities.

Collaborate with Professionals

Working with other data science experts is a beneficial approach to network and discover employment openings in the industry. By collaborating with others, you may benefit from their knowledge and experience, pick up new skills and technology, and meet prospective employers and clients.

One way to collaborate with other professionals in data science is through joint projects or research. This can involve partnering with other data scientists, analysts, or engineers to work on a specific project or research question. By working together, you can combine your skills and expertise to produce high-quality work that is more comprehensive and impactful than what you could achieve alone.

Participating in challenges or contests related to data science is another method of cooperation. These contests allow you to collaborate with other professionals to find solutions to practical issues, display your knowledge and abilities, and network with possible employers and customers.

Collaboration in data science has several advantages. By collaborating with others, you may increase your knowledge and skill sets, create a network of connections in the business, and become aware of future employment openings. Additionally, by combining the skills and viewpoints of other specialists, teamwork might result in more creative and significant solutions.

Conclusion

Networking is a crucial aspect of finding job opportunities in data science. By actively participating in data science communities, staying updated with data science news portals, attending events, utilizing social media, and collaborating with other professionals, build a network of contacts, and gain exposure to potential employers and clients. Moreover, you will learn many things that a course and degree may not teach you.

This is also true; when you start a networking journey, you might feel lost and overwhelmed, but once you are consistent, then your network becomes your net worth.

To recap, some of the tips for networking in the data science community include:

● Joining data science communities

● Attending data science events

● Utilizing social media

● Collaborating with other professionals

We advise our readers to actively engage in data science groups and utilize the advice provided to locate employment possibilities. By implementing these tactics, you may expand your network of connections, demonstrate your knowledge and abilities, and raise your chances of obtaining your ideal position in data analytics. Don’t hesitate to put yourself out there and investigate new possibilities for cooperation and development in the data science community. Keep in mind that networking is a continual activity.

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PM Modi Calls for Global Collaboration to Leverage AI in Education at G20 Meeting 

PM Modi calls global collaboration leverage AI education G20
Image Credits: TOI

Prime Minister Narendra Modi talked about the enormous potential of artificial intelligence (AI) in the areas of education, training, and learning during his remarks at the G20 education ministers’ meeting. He emphasized the transformative potential of technology and its role in influencing the future of education. 

Modi spoke on the crucial role that education plays in the advancement of humankind and civilizations. He described the ministers of education as “Sherpas” guiding humanity towards growth, peace, and wealth.

Prime Minister Modi discussed India’s all-encompassing approach to education, emphasizing the value of fundamental literacy as the cornerstone of youth growth. He praised the government’s “Nipun Bharat” initiative, which aims to increase reading comprehension and numeracy skills. He expressed his happiness that the G20 also acknowledged the significance of fundamental literacy and numeracy.

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In order to deliver high-quality education and efficient governance, the prime minister stressed on the necessity for creative e-learning techniques. He covered the “Swayam” online platform’s accomplishments, which provides classes from Class 9 to postgraduate levels.

PM Modi emphasized the significance of reskilling, upskilling, and skilling the youth constantly to ensure their future readiness. He noted India’s project for skill mapping, in which the labor, education, and skill ministries work together to match competences with changing work profiles and practices. To identify and bridge skill gaps, the prime minister urged G20 nations to collaborat.

PM Modi explained the importance of digital technology in fostering inclusivity and recognised its potential as an equalizer and a driver of greater educational access. He also talked about the enormous potential of AI in the fields of education, skill development, and learning. The G20 was urged by the prime minister to find the correct balance between technological opportunities and problems.

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AWS Generative AI Center to Receive $100 Million Investment to Keep Up with Microsoft and Google

AWS generative AI center to receive $100 million investment
Image Credits: AWS

AWS generative AI center will receive $100 million from Amazon’s cloud division, the company announced on Thursday. The generative AI technology has gained popularity in the recent months since OpenAI made its ChatGPT chatbot available to the public.

For a tech giant with $64 billion in cash and half a trillion dollars in operational costs annually, it’s a modest investment. However, the investment demonstrates that Amazon Web Services, along with competitors Microsoft and Google, understands the relevance of the current state of generative AI and the necessity of participating in the discussion.

In its most recent statement, Amazon stated that it would be hiring some data scientists, engineers, and solutions architects. The center already collaborates with Highspot, Twilio, RyanAir, and Lonely Planet, according to AWS. It’s a “programme” rather than a physical center, the company informed.

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The cloud infrastructure market is dominated by Amazon, which entered the business of renting out servers and data storage to businesses and other organizations before Microsoft and Google. Even though Amazon has used AI extensively for years to operate its Alexa voice assistant and display shopping recommendations, other competitors have made bigger forays into generative AI.

The opening of the AWS Generative AI Innovation Centre was announced amidst ongoing concerns about the company’s capacity to keep up with cloud rivals Microsoft and Google in the race to take advantage of advancements in large language models and new applications of artificial intelligence.

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Infosys to Provide Free Certification in Artificial Intelligence on Springboard 

Infosys free certification Artificial Intelligence Springboard
Image Credits: Infosys

The IT services provider Infosys announced on Thursday that its Infosys Springboard Virtual Learning Platform will now offer a free Artificial Intelligence (AI) certification training.

Infosys AI-first specialists and data strategists, who are the sole in-charge of delivering Infosys Topaz’s AI-first suite of solutions, services, and platforms, will assist in creating the curriculum in order to provide students with skill-sets for the future.

Through the Infosys Springboard Virtual Learning Platform, Infosys will offer certification in AI and generative AI skills, which are essential for obtaining jobs, the company said.

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A couple of the courses included in the certification include an introduction to AI and generative AI with a focus on deep learning and natural language processing, as well as a masterclass on the effect of generative AI.

Additionally, an individualized course on “Citizens Data Science” will cover a variety of topics in the field of data science, such as Python programming, linear algebra, probability and statistics, and exploratory data analysis. A certificate will be given to students when they successfully complete the course.

This certification, combined with formal education, is supposed to speed up digital reskilling for participating learners, who can include adults and professionals as well as high school and college students. 

Infosys Springboard is a curriculum-rich virtual platform that provides corporate-grade learning experiences on any device with closer educator-learner collaboration for children from Class 6 to lifetime learners.

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Google Accuses Microsoft of Unfair Cloud Practices in Azure Cloud Unit

Google is going public with its own complaint of Microsoft’s anti-competitive actions after years of defending itself against accusations of monopolistic behavior in the U.S. and Europe. Google said that Microsoft exploits unfair licensing terms to “lock in clients” in order to control the cloud computing business, in a letter sent to the Federal Trade Commission on Wednesday.

The letter was written in response to an extensive FTC call for comments on possible anti-competitive behavior in the cloud market. The FTC spokesperson declined to make any additional comments. 

Google singled out Microsoft in the complaint, contending that the corporation can make it challenging for its sizable clientele to use anything other than its Azure cloud infrastructure service because of its dominance in the Windows Server and Microsoft Offices markets. Google referred to Microsoft’s licensing requirements as a “complex web” that restricts companies from varying the vendors of their enterprise software. 

Read More: Microsoft Announces AI Personal Assistant Windows Copilot for Windows 11

A serious risk to national security and cybersecurity, according to Google, is posed by such control. It drew attention to a series of hacks that involved Microsoft technologies, notably the SolarWinds hack. Both Microsoft and Google have active cybersecurity practises that address and investigate online threats.

Google has frequently faced antitrust issues. The US Department of Justice filed its second antitrust action against Google in a little more than two years in January, this time focusing on its advertising division.

In a previous action brought by the department in October 2020 under the Trump administration, Google was charged with abusing its dominant status to stifle competition in internet search through exclusionary contracts. Trial in that case is anticipated to begin in September. Large groups of state solicitors have also filed three other antitrust claims against Google, one of which is targeted at the company’s advertising division and is being led by Texas Attorney General Ken Paxton.

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Intel Labs Generative AI Model LDM3D Generates 360-Degree Images from Text Prompts

Latent Diffusion Model for 3D (LDM3D) is a unique diffusion model that employs generative AI to produce realistic 3D visual content. It was developed by Intel Labs in partnership with Blockade Labs. The diffusion technique is used by LDM3D, the first model in the market, to develop a depth map that results in vibrant, immersive 3D images with 360-degree vistas. 

With the help of this research, users will be able to interact with their text prompts in previously unimaginable ways, revolutionizing the way we interact with digital content. Users can convert a literary description of a calm tropical beach, a contemporary skyscraper, or a sci-fi cosmos into a 360-degree detailed panorama using the photos and depth maps produced by LDM3D. 

A subset of 10,000 samples from the LAION-400M database, which comprises more than 400 million image-caption pairs, served as the basis for the dataset used to train LDM3D. The researchers annotated the training corpus using the Dense Prediction Transformer (DPT) large-depth estimation model, which was previously created at Intel Labs.

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For every pixel in a picture, the DPT-large model delivers incredibly accurate relative depth. The LAION-400M dataset was created for research purposes to allow for model training on a bigger scale for the benefit of various research communities. An Intel AI supercomputer with Intel Xeon processors and Intel Habana Gaudi AI accelerators is used to train the LDM3D model. To create 360-degree views for immersive experiences, the final model and pipeline integrate the generated RGB image and depth map.

Intel and Blockade researchers created DepthFusion, a programme that uses common 2D RGB photographs and depth maps to produce realistic and interactive 360-degree view experiences, to show the potential of LDM3D. Text prompts are transformed into engaging digital experiences by DepthFusion using TouchDesigner, a node-based visual programming language for real-time interactive multimedia content. 

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