Blog

Migration to the cloud is quickly becoming a hot new topic for businesses of all sizes. According to the surveyed technical professionals and found that 58% of respondents prioritize moving workloads to the cloud and 39% are already working on a cloud-centric strategy. 

However, what do businesses mean when they talk about cloud migration? Simply put, cloud migration occurs when a business moves its data and applications to a cloud platform. This means that data and applications can be accessed from anywhere rather than hosting a server on the site that is connected to the site computers. 

To help you develop a roadmap for your own journey to the cloud, here are eight compelling use cases for an effective cloud rollout in various industries. 

Scaling 

The cloud allows you to adapt to peaks of the activity or sudden transactions that can slow down or even damage traditional systems. Public cloud services can be used to scale traditional on-premises computing and private clouds to meet peak demand. 

The migration to a cloud platform allowed the company to integrate compliance processes, ensuring seamless service delivery for all brands and offerings. Scalability was necessary to support faster and easier expansion as the business grew. 

 Automated Disaster Recovery 

Business continuity has traditionally relied on maintaining secondary disaster recovery sites that replicate production data, but these often lead to cyber-resistance gaps and delays in the movement of workloads and data. Cloud disaster recovery templates now enable application-based disaster recovery, cyber resilience, and orchestration of resilience that provides a response tailored to your business needs. 

Since the solution was implemented, errors and human efforts have decreased drastically, and the stock exchange can now easily run its monthly exercises without significantly affecting the internal operations or external services. 

 SaaS integration 

In a forward-looking enterprise, different flavors of software as a service (SaaS) need to be connected to new apps or existing data on public or private clouds or on traditional IT in a consistent and repeatable way. 

With a single buyer portal, the company’s customers have the ability to log in and communicate with the company’s sales or construction teams, as well as see the progress of their house and have a place to store all their documents. 

Hybrid Data Experience 

With 80% of apps still on-premises, many businesses are turning to public cloud services to support artificial intelligence, the Internet of Things (IoT), mobile devices, and other next-gen initiatives. 

In a larger airline, the challenge was to expand their systems to better support customers who needed planning changes. The company sought to create a system that allows customers to see alternative seats in the event of a flight cancellation, in the chosen channel in an automated fashion. 

Innovation 

The cloud can play an important role in optimizing IT and delivering workloads to the most cost-effective, high-performance locations if performance, cost structure, or security requirements change. 

A device manufacturer used the cloud to free up resources for innovation and achieve greater scalability. The company’s legacy business systems operated on a local data center infrastructure, which reduced flexibility and tended to downtime.  

By saving time and money, the company was able to significantly focus on the customer experience and evolve the manufacturer’s business model to create a broad ecosystem of connected home devices such as smart ovens and refrigerators. 

 

The decision to move your business to the cloud is a big step forward, especially if you are trying to operate on a budget. Here is what you can do to dive right now

• Take a closer look at what works and what does not in your company’s technology and understand why you need to make changes. 
• Determine exactly which apps to move and understand the numbers behind them. 
• Plan your migration carefully and think about the training required to maintain your equipment. 
• Monitor the process and be prepared to intervene if necessary. 
• Develop a Cloud Architecture and Strategy Accelerate and simplify the cloud migration process.
• Avoid costly and time-consuming business and IT disruptions.
• Assess IT risks and potential barriers.
• Maximize your cloud investment.  

Conclusion 

Logic Finder can help ease your often uneven path by developing a robust cloud strategy, assessing risks and helping you plan for the unexpected. As a partner, we invest in the future of your company with an understanding of the strategic business goals, market dynamics and technical assets that support your journey to the cloud. Let our team help you implement, migrate and optimize the right cloud solution to achieve your goals and modernize your business. For further info click on the mentioned link below.  

https://www.logicfinder.net 

AI has been a hot topic for the past five years and we are slowly starting to see how AI-based products are infiltrating our daily lives. Either because one in six Americans has a smart speaker or because self-driving cars have emerged.  

If we think about it further, it gives a clear idea of how addicting technology is, and of course, there will always be organizations or individuals who want to take advantage of this addiction, so advanced cybersecurity is needed. This is where the practices came into play. 

Understand the basics of AI: Artificial intelligence is, to be honest, a powerful tool, and the rise of the industry clearly shows that. In addition, to better understand the impact of AI, we need to understand some basics on related topics. Let us start with machine learning.

 

This is the most talked-about branch of artificial intelligence. Machine learning allows computers (or machines) to learn and adapt through experience, just like humans. Another aspect of artificial intelligence is deep learning which allows machines to create pattern recognition models instead of relying on humans. 

The positive side of the matter: As mentioned above, artificial intelligence is a powerful tool, and if used well, it could add a great deal of sophistication to the cybersecurityindustry. Here are two key factors that draw a fine line between humans and machines: speed and automation.  

 

When it comes to people, in big data science, people have to spend a lot of time analyzing data and getting insights. Machines, on the other hand, could perform the same calculations and deliver information in seconds. 

This does not necessarily mean that machines will make data science jobs or data science courses obsolete in the future. Learning data science would always be important, as machine learning (ML) relies heavily on it. 

Automation gives organizations a weapon to automate the detection and removal of threats without human intervention. Artificial intelligence can simplify complex processes and embrace a more complex and robust cybersecurity model. Another aspect pointing to a safer future is the disappointment with the data. Thanks to the above technology, we can detect, analyze and defend attackers from them, anticipating and deceiving them. 

When we combine ML with application isolation, we have a solid malware detection foundation that bridges the gap and stops malware from moving around with the promise that data will not be tampered with. 

Future challenges where artificial intelligence meets cybersecurity: With great strength comes great responsibility, and since AI is a powerful tool, it must be used responsibly. In an ideal world we are far from, artificial intelligence would not have to implement security. As reality shows, cyber-attacks have become more and more complex over time. In 2016, 357 million malware was discovered and various companies were hacked. 

 

On the contrary, attackers also use artificial intelligence in unethical ways to use automated attacks to break into systems that can be very difficult to defend. Artificial intelligence enables in-depth analysis of victims by analyzing their online behavior and predicted wealth. Because predictive models can tell a lot about a person’s desire to shop online, you can assess how disruptive this scenario can be. 

Conclusion: In short, artificial intelligence provides a great level of sophistication for cybersecurity in the future. However, it also makes life even harder for people in the IT industry, big data, or people planning future IT courses. 

To solve this problem, Logic Finder provide cybersecurity training to teach intermediate and senior roles involved in the information security field, to involve all functional levels of the company to ensure the security of the system. Information. For more information click on the link below, 

https://www.logicfinder.net/ 

 

Using artificial intelligence techniques, you can learn how to eliminate unwanted noise or data and train security professionals to understand the cyber environment to detect abnormal activity. 

AI can also improve cybersecurity through automated techniques generated when cyber threats are detected. Artificial intelligence can analyze large amounts of data and enable existing systems and software to be properly designed to prevent cyber-attacks. 

Additionally, the introduction of AI for cybersecurity solutions will help protect businesses from existing cyber threats and identify new types of malware. Artificial intelligence-based cybersecurity systems can provide effective security standards and help develop more effective prevention and recovery strategies. 

Alternatively, using AI for cybersecurity, a dynamic global authentication framework can be created in real-time that changes location or network access rights. 

According to a Webroot study, more than 90% of cybersecurity experts in the United States and Japan expect attackers to use AI for the companies they work for. 

Applying AI to cybersecurity 

Artificial intelligence is perfect for solving some of our toughest problems, and cybersecurity definitely falls into that category. As cyberattacks evolve and device proliferation, machine learning, and artificial intelligence can be used to “keep up with the bad guys”, automate threat detection and respond more effectively than software approaches traditional. 

At the same time, cybersecurity poses unique challenges: 

• An excellent goal 
• Tens of thousands or hundreds of thousands of devices per organization 
• Hundreds of attack vectors 
• Large gaps in the number of qualified security professionals 
• Masses of data that have gone beyond a human problem 

A cybersecurity posture management system based on self-learning and artificial intelligence should be able to solve many of these challenges. Some technologies can be used to adequately train a self-learning system to continuously and independently collect data from corporate information systems. This data is then analyzed and used to perform a pattern correlation between millions and billions of signals relevant to the company’s attack surface. 

The result is new levels of intelligence that guide teams through various cybersecurity categories, including: 

IT Asset Inventory – Obtain a complete and accurate inventory of all devices, users, and applications with access to information systems. Categorizing and measuring business importance also plays an important role in inventory. 

Threat Exposure – Hackers follow trends like everyone else. Therefore, what’s hot among hackers changes regularly. AI-powered cybersecurity systems can provide up-to-date knowledge of global and industry-specific threats to make critical prioritization decisions based on not only what could be used to attack your business, but also what is likely to attack your business deal. 

Control effectiveness – It is important to understand the impact of the various security tools and processes that are used to maintain a strong security posture. Artificial intelligence can help you understand where your Infosec program is strong and where it is lacking. 

Predicting risk of injury: By taking into account IT, asset inventory, threat exposure, and effective controls, AI-based systems can predict how and where they are most likely to be breached, so you can plan the allocation of resources and tools to areas of weakness. . Regulatory information derived from AI analysis can help you configure and improve controls and processes to more effectively improve the cyber resilience of your business. 

Incident Response: AI-powered systems provide better context to prioritize and respond to security alerts, respond quickly to incidents, and highlight root causes to minimize vulnerabilities and prevent future problems. 

Explainable: the key to using AI to develop Infosec’s human teams lies in the explicability of the recommendations and analysis. This is important for building consensus among stakeholders within the organization, understanding the impact of various Infosec programs, and reporting relevant information to all stakeholders involved, including end-users, security, CISO, auditor, CIO, CEO, and board. Directors. 

Conclusion 

In recent years, artificial intelligence has become a necessary technology to expand the efforts of human information security teams. Because humans cannot evolve to adequately protect an organization’s dynamic attack surface, AI provides much-needed threat identification and analysis that cybersecurity engineers can respond to reduce the risk of breach. Insecure, AI can identify and prioritize risks, instantly detect malware on a network, manage incident response, and detect interventions before they begin. 

Artificial intelligence enables cybersecurity teams to form powerful human-machine partnerships that push the boundaries of our knowledge, enrich our lives, and advance cybersecurity in ways that seem greater than the sum of its parts. 

We have a team of cybersecurity and AI experts. Our unique AI-based network intrusion and detection system for cloud computing environments, as well as SaaS, PaaS, and IaaS applications protects your corporate network, secures it, and keeps you informed of irregular activity on your network. 

Provides an end-to-end security solution for your business Logic Finder can quickly identify and respond to cybersecurity threats. Implement machine learning and artificial intelligence to detect critical threats, compromised accounts, and other network anomalies. For more info, click the link below: 

https://www.logicfinder.net/ 

The cloud computing revolution has had truly transformative effects over the past decade. More and more companies are relying on cloud services and data centers to operate today. This has made life easier and more convenient for consumers, even those who do not appreciate the impact of the cloud. 

There are many types of cloud services. Three of the most important are software as a service (SaaS), infrastructure as a service (IaaS), and platform as a service (PaaS). There are also three general types of cloud infrastructures: public cloud, private cloud, and hybrid cloud (combining public and private elements). Therefore, cloud computing is valued for its flexibility and availability. 

Here are some of the key benefits of cloud computing, from cost savings and data storage to scalability and reduced downtime. 

1. Strong Security 

Data security has been one of the biggest concerns in recent years as stricter rules have been put in place to ensure even better protection. Even now, many companies are concerned that the move to the cloud will make their data less secure and less prone to prying eyes. 

Cloud service providers go the extra mile to keep your data safe. Their job is to protect your data from unauthorized users and they do it very effectively thanks to strong encryption. Cloud service providers often offer individual customers the freedom to define their security settings and restrictions. 

2. Easy scalability 

As your business evolves and grows, so do your IT needs. Alternatively, there may be times when you need to scale your business and with it your computer memory. Cloud computing provides easy scalability, allowing you to grow and shrink as circumstances change. As a cloud provider, we will take care of it, leaving you free to do more important things. 

3. Automatic updates 

Companies with their own IT infrastructure also need to support software updates to fill security gaps and the technology they work with is up to date. Cloud service providers usually take responsibility for this and save their customers time, costs, and energy. 

4. Cost Reduction 

As mentioned, before the advent of cloud computing, many companies had to manage their own internal IT resources. Of course, everything costs money. Moving from in-house IT infrastructure to remote servers provided by third-party cloud platforms allows businesses to realize potentially significant cost savings.  

Cloud service providers are responsible for providing the IT infrastructure. Upgrade costs, new hardware, and software may also be covered by the contract. 

5. Parallel Collaboration 

Parallel collaboration is possible allows for a cloud-based infrastructure that enables employees to collaborate on the same level without hierarchy, top-down or bottom-up communication. Different teams can collaborate and access the same data remotely, simplifying daily tasks and saving time. 

6. Fast Prototype 

For digital transformation to work, a company can constantly innovate, test, implement and repeat. The cloud provider companies with a platform where they can easily create test and distribute applications without having to install complex infrastructure. Therefore, the company can experiment with different applications on different platforms in the transition phase. 

Conclusion 

Logic Finder offers comprehensive services to speed up, simplify the cloud migration process, and make it seamless and transparent. We can help you navigate your often-uneven journey by developing a solid cloud strategy, assessing risks, and helping you plan for the unexpected. As a partner, we also invest in the future of your business by understanding your strategic business goals, market dynamics, and technical resources that will determine your transition to the cloud.

Logic Finder’s expert cybersecurity engineer can provide you with an evaluation, road map, architectural plan, and design plan as well as integration support for a successful transition to a hybrid environment. 

We help you analyze, plan and implement successful transitions in the right physical or virtual environment so that you can develop applications faster. So, do not waste more time, click the link below. 

https://www.logicfinder.net 

 

A Distributed Denial of Service attack is a malicious attempt to sabotage someone’s online activity. This happens when a botnet, which is a network of compromised devices, sends a large number of requests to the server to remove it. 

Disruption, loss of sales, and loss of trust from customers and partners are enough to shut down all businesses. However, they are often accompanied by ransom demands, data theft, and other devastating activities. 

A DDoS attack is a versatile weapon and is therefore popular with hackers nowadays. With the rapid development of technology, DDoS attacks are also increasing and becoming faster and more consistent with each passing year. For example, they do not require any technical skills now or even a large wallet, so anyone can use them for their use. What is the future of DDoS attacks? 

DDoS attacks are becoming more common: 

In 2020, DDoS attacks increased dramatically, in part due to the global pandemic. As people all over the world have to broadcast their lives on the Internet, hackers have not hesitated to seize this opportunity to wreak havoc and make money. According to Cloudflare reports, DDoS numbers increased significantly in the third quarter. 

While this was not the case in the fourth quarter, which led to a drop in the total number of attacks, other disturbing trends have emerged. For example, DDoS ransom and ransom attacks are becoming increasingly popular, and that is unlikely to change anytime soon. In any case, we can assume that the number of DDoS attacks will increase again. 

Every new IoT device offers a potential new bot that a hacker can use to expand his already large botnet. 

There were 7.6 billion active devices in 2019. This number is expected to rise to 24.1 billion by 2030. 

How 5G and Artificial Intelligence are changing DDoS attacks: 

As mentioned earlier, DDoS attacks have evolved to be accessible to everyone. They are also more demanding than ever. All thanks to the latest technological advances like AI, 5G, Wi-Fi 6, and more. 

Artificial intelligence and machine learning can help hackers identify weak passwords and automatically spread malware. In other words, they can now develop their botnets in no time with little effort. 

Today’s DDoS attacks are no longer static, but dynamic and therefore more difficult than ever to detect and block. In addition, the introduction of 5G enables more reliable low-latency communication, super-fast broadband, etc. Unfortunately, hackers are likely to use these advantages to launch effective DDoS attacks. 

Extreme Future of DDoS Attacks: 

Unfortunately, the current trend shows that DDoS attacks are becoming more frequent, massive, and effective. Expanding IoT devices and rapidly deploying 5G capabilities around the world will be a deadly combination. In addition, the ongoing digitization of companies has taken a big step forward after the COVID-19 pandemic. As a result, businesses of all sizes have a large chunk of their resources online, which makes them ideal targets. 

When it comes to protecting against DDoS attacks, the current situation is not very promising. Hackers are already successfully using cloud technologies to carry out DDoS attacks. Organizations need to quickly adapt similar solutions and implement them into their security stacks. However, hackers always seem to have a head start when it comes to methods, technologies, and tactics. 

In the first half of 2020 alone, there were over 4.83 million DDoS attacks. That number represents a sharp increase from the already alarming 2019 numbers, with the strongest activity being seen in the first few months of the lockdown from March to July. We can assume that the trend will continue until mid-2021 and beyond. 

Conclusion: 

Implement a layered cybersecurity solution to prevent a DDoS attack. This includes increasing bandwidth, configuring backup servers, updating for updates, continuously monitoring traffic, and so on. We also hope to have more useful and easy-to-use DDoS security tools shortly. 

The future does not seem to be the brightest, with the increasing popularity of DDoS, more effective, and more destructive attack tactics. However, we have the technology to fight them. We just have to learn how to use it to our advantage. There are signs that we need to pay more attention and invest more in research and protection against DDoS attacks. 

Logic Finder has some of the best experts in the field to teach and supervise the range of international and domestic security and cooperation issues, including threat identification, mitigation, security controls, cyber security conflict resolution, and governance problems affecting information security. You can contact us and register by clicking on the link below. 

https://www.logicfinder.net/