What is Legacy App Modernization? Why should you Modernize Legacy Applications?

Do you know legacy app modernization can reduce the costs by 13% and increase overall revenue by 14%?

Legacy application is a software program that is considered either obsolete or outdated – as it is based on a technology that is older than the current technology.

Over time, the old or legacy systems start exhibiting logs, errors and critical issues that impact the business operations and ROI.

Most of the legacy applications are slow and has to be replaced with a modern version due to critical business operations.

To meet the present requirements and improve ROI, organizations can rebuild the existing applications instead of buying or building a completely new application.

What is Legacy App Modernization?

legacy app modernization

Legacy app modernization is the process of rebuilding old and outdated applications to effectively work in modern work environments.

Organizations need to get rid of the outdated systems and transform their business digitally to gain a competitive advantage.

Application modernization is an inevitable part of cloud-first digital transformation. It involves creating a project that produces business value from existing legacy software.

Enterprises can reduce the payback periods to 6 months by modernizing and deploying with AWS. Before your organization begins its modernization journey, you should evaluate if it is a viable solution for your business.

It involves reworking the code to different levels and make the application work with APIs. An effective method to modernize the legacy applications is to rebuild to have a cloud-native architecture, which requires a heavy investment of skills and time.

We at Amvion Labs help you make your organization safer and faster with legacy app modernization. Our Legacy Modernization Specialists help reduce unnecessary operating costs – reducing capital spending. We make the legacy systems more agile through the use of specialized skills and industrialized assets.

Our strategy, time tested methodology and experience with advanced DevOps and micro-services help you speed up the application portfolio – while reducing support costs.

Regardless of the size and shape of your business, you must give your legacy systems a quick update.


Benefits of Legacy App Modernization

Well, modernizing legacy applications is an important factor in digital transformation. Although the exact benefits differ from organization to organization, the general benefits are the same across all the cases. Some of the key benefits of app modernization are –

1. Reduce costs

Modernizing the apps means moving the data from on-premises to the cloud. The more data you have, the more you have to pay for the on-premises Data Centre every year. Companies may have to buy new storage systems as the data increases.

Additionally, maintaining legacy apps needs a lot of resources. Modernizing the legacy applications will reduce the expenditure in the long run – as this approach allows the developers to reuse the resources they are accustomed to working with legacy programming languages.

2. Improve business agility

Companies with modernized applications have more chances of getting more business – as they allow companies to serve their vendors and customers efficiently. Usually, companies that use legacy systems find it difficult to develop new products or features. With modern apps, it is easier to plan for the future and update with new features as and when required.

On the development side, modernizing the legacy apps provides better code, highly flexible apps and a well-managed database.

3. Better security

AWS and Azure feature many built-in features and offers granular control for privacy and compliance. Choosing to move to certain services into AWS is a convenient way to get free extended security updates, rather than paying for migrated virtual machines.

When it comes to modernizing the legacy applications, the Return on Investment will greatly surpass the initial investment.

4. Improve customer experience

Using legacy applications seems harmless in terms of providing customer service. However, using outdated systems can harm customer experience, as most of the customer prefers doing business with a company that follows current technology trends.

Application modernization helps improve the front-end user interface, add new features or services and do a lot more that enhances the customer experience.

It’s time to start!

Modernizing the legacy applications can present new revenue streams to companies. Organizations will have the opportunity to create new processes or services that add value to the customers. Implementing new processes or services leads to greater customer satisfaction – eventually increasing the ROI.

Application modernization is a cost-effective solution that improves flexibility and reduces IT costs. Fortunately, businesses can modernize their legacy systems without having to spend a fortune on legacy systems.

Amvion’s Application Modernization team can help define the scope of your legacy modernization project and implement a road map based on your requirements and priorities.

For more information on the benefits of legacy app modernization, get in touch with us.

Schedule a FREE Consultation today!

How to Safeguard your Enterprise Data in AWS?

Well, data is considered a digital gold – as it help organizations in making better decisions. Whether it is the financial information or details of the customers, it is important to keep the data safe.

Many organizations are moving to the cloud to protect their data, and there is a large amount of critical data that needs to be protected.

Before we know more about protecting enterprise data in AWS, let’s know about the data security challenges in AWS.

Data Security Challenges in Cloud Computing

Cloud computing is all about storing the data in data centres that are common to several users. The most common challenge faced by organizations in cloud computing is data loss. Whether it is deleting the files by accident or gaining unauthorized access – organizations are used constant pressure to protect their data.

Data breach is another key challenge in cloud computing. Often, the cloud platforms are prone to breaches – as the third-party entities can easily access them. Hackers might easily break into the cloud and steal/misuse the data.

Besides this, employees may disclose sensitive information to third-party due to lack of data security awareness, phishing, vishing or similar activities.

Amazon Web Services (AWS) ensures utmost security and privacy of your data. The network infrastructure provided by AWS data centres ensure all the devices you work on, valuable information and identities are protected from internal and external threats.

Tips to Safeguard Enterprise Data in AWS

With more and more data being stored in cloud, enterprises need to implement robust security policies and practices to deal with data stored in AWS cloud. Here are some tips to safeguard enterprise data in AWS –

1. Although AWS is responsible for protecting the infrastructure on AWS cloud, enterprises must take the responsibility of security configuration and manage the services they choose to use.

2. Organizations must take precautions against unauthorized access of data using multi-factor authentication. Also, one should enable virtual 2FA for an IAM user in the AWS account.

3. Organize periodic training to the employees – as hackers often target employees to gain access to the network. Make sure that your employees are aware of the security protocols to enhance security of your systems on AWS cloud.

4. Use end-to-end data protection to protect your data against unauthorized access. Install SSL certificate on AWS that allows encrypted interaction between the server and browser. Using https protocol will not only help protect sensitive information but affirms your identity.

5. Protect your enterprise data in AWS by using AWS security tools – GuardDuty, AWS Shield, CloudWatch, Macie, AWS Inspector etc.

6. Use trusted advisor to safeguard your enterprise data in AWS. From watching the cloud environment to scanning the internal networks – they keep an eye on all areas of cloud services.

Hope this information will help you learn ways to manage your AWS services. As more and more businesses move their data into cloud, they need to take more precautions to manage the data safely.

Protect your enterprise data by implementing AWS with Amvion labs. Our team of experts help you adopt data security measures and guide you in maintaining data stealth.

Contact us to book a free consultation on Managed Cloud Services!

What is a zero trust architecture and how to deploy?

As enterprises become more and more complex, the ‘Zero Trust’ security model has become quite popular. The ‘Zero Trust Framework‘ fortifies the enterprises by enforcing strict user and device authentication. This strategic initiative helps organizations to prevent data breaches and cyberattacks by eliminating the concept of trust from the network architecture.

What is zero trust architecture?

The Zero Trust Architecture is based on the principle of “Never Trust and Always Verify”, which means only verified or authorized users can access the resources. Additionally, zero trust architecture requires verification of every person or device attempting to connect to the organization’s systems before granting access.

Enterprises must adopt an architecture that supports the concept of establishing trust across internal and external communications to completely achieve Zero Trust Security.

How to deploy zero trust architecture?

Well, zero trust architecture can be built on the existing architecture and does not require enterprises to replace the existing architecture. Here is a simple 5-step methodology to implement zero trust architecture.

Step 1 – Identify the surface to be protected

To implement Zero Trust, enterprises must consider all the computing services and data sources that share data with the SaaS, aggregators and different end-points.

Step 2 – Secure the communications

The assets located on the enterprise owned network architecture must meet the security requirements.

Step 3 – Implement session-based access

Before authorizing access to an enterprise resource, the trust must be applicable only for a particular duration. The authorization of access to any particular resource should not be extended to a different resource.

Step 4 – Create a Zero Trust Policy

Set access rules based on the attributes of the organization. The attributes can be location, time of the request, software version etc. Based on the sensitivity of the resource, behavioural attributes can also be defined.

Step 5 – Monitor and maintain

Enterprises must collect as much information about the current state of the network and use the data to improve the security posture continually.

Conclusion

In a nutshell, Zero Trust Framework gives you visibility and context of all the traffic. Additionally, it helps you identify the business processes, data and users that can be updated automatically based on the risks.

Many companies are moving towards the cloud, and this is where one should start their ‘Zero Trust’ journey. Companies can start implementing zero trust architecture with small steps like – classifying the organization’s resources, implementing the verification mechanisms, granting users only the required privilege etc.

Amvion Labs helps you protect your IT infrastructure by implementing a Zero Trust framework. With the Zero Trust Model, you can employ a data-centric approach to address security risks.

Get in touch with us to learn how you can turn the Zero Trust security into reality for your organization.

Top 5 Benefits of a Data Warehouse

A data warehouse is a heterogeneous collection of data organized in a unified schema. All the information about the company’s activities is stored in one place. Many people are taking advantage of the data warehouse to analyse and harness the power of data efficiently.

Before we dig deeper about the benefits of a data warehouse, let’s get into the basics of a data warehouse.

What is a data warehouse?


A Data warehouse, also known as Enterprise Data Warehouse is the core component of business intelligence and can be used for data analysis and reporting. It helps organizations to use data strategically and make informed decisions.

It is an environment that provides users with current and historic information to support operations.

In short, the data warehouse syncs data from different sources and analyse it to generate better ROI.

Benefits of Data Warehouse

Having all the data gathered in one place is one of the biggest benefits of a data warehouse. It is a great solution for centralizing your business data. From boosting the efficiency to improving the quality of information – you can make the data work in a better way.

Improved access

For many organizations, the information systems comprises of multiple subsystems that are not only physically separate but built on separate platforms. A robust BI platform can provide an effective data management solution by consolidating enterprise data into a single data repository.

In the absence of a data warehouse, you would need to combine data using different tools to make better and informed business decisions.
If your data is located at a centralized location, it would be easier to analyse the data. For many businesses,

Speed and performance

Business Intelligence (BI) requires high quality and standardized data in real-time for data mining. A data warehouse solves the ongoing problem of pulling data out of transaction systems and converting it into actionable information. Businesses will realize numerous improvements upon successful implementation of the data warehouse.

A data warehouse takes off large system load from the operational environment and distribute the system load across the entire organization’s infrastructure.

Quality and consistency

A typical data warehouse helps organizations to convert data from multiple sources and transforms it into a common format. This approach removes the inconsistency in data from a unique source system. Additionally, individual departments and units of the organization will start to utilize the same data repository for generating individual reports. Consistent reports from various departments of the organization help in understanding the trends and identifying the mistakes.

In short, a data warehouse helps in integrating a high amount of data – eventually reducing stress on the systems.

Time-efficiency

Data warehouse enables the decision-makers in the organization to quickly access crucial information from different sources. Using centralized data, one can make efficient decisions quickly without wasting time in collecting data from multiple sources. As the data is stored in a centralized repository, business executives no longer need support from IT teams to bring up data and execute operations.

High ROI

Implementation of a data warehouse will help businesses generate high revenue and decrease expenses. Data is a strategic asset for your organization that can be trusted only when it is consistent and high in quality. With the increasing demand for AI technologies to automatically generate recommendations from data – data accuracy is vital.

Whether it is on-premises or cloud data warehouse – the right architecture will enable a high return on investment by uncovering meaningful insights.

Conclusion

A data warehouse is a viable option for businesses that want their data to be stored in separate categories. More than 56% of organizations deploy data warehouse technology and get benefits such as – vendor lock-in capabilities, workload management etc.

Get in touch with us to inspect, clean and model your company data to make valuable business-oriented conclusions.

Advanced Persistent Threat Protection – 4 Ways to Prevent APT attacks

Cyber attacks are becoming quite common, regardless of the size of the organization. The number of cyber crimes is increasing at a significant rate every year. In 2020 alone, the cost of a data breach in India amounted to nearly 2 million U.S dollars.

According to sources, the malicious attacks accounted for 55% of the total breach, 25% of technical glitches and 21% of breaches due to human error. In short, data breaches pose a greater risk for companies.

But, there’s even a bigger threat that is taking over the cyber world – Advanced Persistent Threat (APT). According to 
Cloud Adoption & Priorities Survey Report, 54% of IT companies see APT as one of the security issues.

What is Advanced Persistent Threat (APT)?

Advanced Persistent Threat is one of the dangerous enemies that infiltrate your organization. It is a long term attack that is meant to locate and exploit high sensitive information.

The hackers get into the system network and spend a lot of time monitoring your activities, keystrokes, data etc. The targets can include small, medium, and large organizations that deal with highly confidential data.

One should know that the hackers may initiate the attacks using advanced and persistent methods. They may use cutting edge technologies and hacking methods like – phishing, man-in-middle attacks and adware to sneak into your organization to achieve their objective.

Must Read – 5 Types of Cyber Attacks That you are Likely to face in 2021

 

Best Practices for Advanced Persistent Threat Protection

Well, Advanced Persistent Threats (APTs) are difficult to detect and involve multiple stages. A combination of warnings signs can help you protect against these attacks. However, it is crucial to partner with expert Cyber Security Company to eliminate and leverage these attacks.

In addition to constant monitoring, you need multiple layers of security working together.

Here are some of the best practices for advanced persistent threat protection –

Traffic monitoring

Monitoring the incoming and outgoing traffic is one of the best practices to prevent the installation of malicious programs. By monitoring the traffic, one can alert the security personnel to any unusual behaviour or malicious program.

A web application deployed on the edge of the network filters the traffic and thereby preventing application-layer attacks like SQL Injections, RFI etc.

Internal traffic monitoring services can help detect the backdoor shells and signal an APT attack.

Firewall installation

Installing a firewall is the first step of defense against APT attacks. There are 3 types of firewalls used – software, hardware and cloud firewalls that can help you prevent advanced persistent threats. When seen from the attacker’s point of view, ‘APT’ occurs in multiple stages – 1) malware infects the victim 2) APT downloaded by the victim 3) APT decides how far to spread 4) APT achieve its goal

A DNS firewall can block APT at any one of the above stages. It will also help block many infections by blocking the initial dropper. The DNS does allow for a timely response and ensures that the threat is no longer ‘Persistent’. As mentioned, the DNS helps in reducing the risk of data loss or damage due to APT.

Enabling email protection

Today, more and more businesses rely on the internet for remote working. To prevent APT and other forms of cyberattacks, organizations must enable email protection. With the widespread transition from cloud to the server or vice-versa – hosted email providers have become a target for cyber criminals.

Protect the domain and emails with IP shielding that honours the SMTP sessions. Use SMTP authentication to secure outbound email. Also, one should enable SSL to ensure data privacy for SMTP and HTTP.

Strict Access Control

Well, employees are the vulnerable points in the security perimeter. The hackers often try to turn them into an easy gateway. The best way to protect against malicious attacks is to rely on the Zero Trust Policy that limits access level. You will grant access to limited resources that are required to perform a particular action.

Another measure is the two-factor authentication (2FA) that requires the users to provide a second form of verification – especially when accessing confidential data or high-priority information.

Conclusion

The bottom line is – an effective APT protection strategy requires a combination of different security measures. Remember that the standard security measures cannot effectively help you prevent the APT attack. It requires various defense tactics and collaboration between the security teams. You will need the advice of experts to protect your company from various IT security risks.

Amvion’s APT protection services include – brand protection, surface area monitoring, Defacement monitor for customer-facing web portals, surface attack enumerator, etc.

Get in touch with us to detect and defend against advanced cyber threats.

Top 4 Reasons why you need to say ‘YES’ to Data Analytics

The pandemic has brought a state of panic for the entire world. Businesses of all sizes are struggling to respond to the effects of pandemic Even in these difficult times, there is one thing that businesses can rely on – DATA. 

 

 

Data Analytics came into the picture – as businesses require an appropriate approach for better growth and performance. There are different ways to use data analytics to grow and sustain your business. Organizations can make use of data analytics to understand their customer behaviour and make better decisions.

 

 

The benefits in data analytics adoption is uniform across industries including – healthcare, retail, construction, financial, manufacturing, and automobile. These industries are more likely to have robust systems to support expanded use cases.

 

 

Here are some of the reasons why companies should consider investing in data analytics.

 

 

     1. Anticipate needs

 

 

Organizations are under competitive pressure to understand the customer needs and optimize the customer experience. Customers expect companies to provide a seamless customer experience across all touchpoints. Today, customers use multiple channels and hence digital sources must be bought together to understand customer behaviours.

 

 

AI-powered analytics can drive sales by helping organizations anticipate customer needs and exceed their expectations. By implementing the predictive analytics technique – retailers, financial institutions and manufacturing companies can predict and satisfy customer needs.

 

     2. Mitigate risk

 

 

Data analytics have made a significant contribution to the risk management of organizations. Data can be put to use to detect frauds in zero time. Besides, big data can help predict whether setting up a business in a particular location will be viable or not. From financial risk management to predict customer behaviour – data can be used in many ways.

 

 

The most widely used big data applications are the predictive models that prevent fraud prevention and analysis of user behaviour for risk management. Companies will be able to look into the future and mitigate risks in a better way with big data analytics.

 

 

     3. Personalize service

Companies can know their customer’s preferences and act on the data with effective personalization. Big data has the potential to lead to massive revenue increases. To successfully utilize big data in improving customer experience – you need to access the customer’s information like – purchase history, interest, preference etc.

 

 

Companies can personalize promotions by analysing the type of products your customers purchase and create recommendations based on size, colour and type of products they buy. This personalisation could be anything from a special offer/discount to product recommendations.

 

 

     4. Streamline operations

 

 

Data analytics has changed the way organizations collect, analyse and process different types of data. More and more companies invest in data analytics just because of the insights it offers to streamline business operations.

 

 

Companies can now accelerate the length of time it takes to complete certain activities and make changes instantly. You will be able to predict results with great precision using data analytics. This helps you to plan out the future steps to stimulate productivity and grow your business.

 

 

Conclusion 

 

 

Data-driven organizations are taking advantage of new tools to help them understand the benefits of data analytics to their customers, streamline business processes and make better decision about new opportunities and threats.

 

 

At present, there’s an opportunity to go ahead of the curve and implement the best data use cases for your business. 2021 will be another great year of data-driven innovations and analysis.

 

 

If you are looking for ways to use big data, the team at Amvion labs is here to help you. Contact us today to get started!

6 DevOps Trends to Watch for in 2021

DevOps has come a long way and it will continue to shine in 2021 and beyond. With more and more companies adopting the DevOps culture, the trends keep changing as per market needs. Since many companies are looking for the best practices around digital transformation, it is important to keep an eye on the current DevOps trends.

 

 

Until now, DevOps trends have helped companies to come up with a baseline to predict how DevOps will respond to customer needs. Due to the massive DevOps deployment scenarios, organizations can witness delivering a massive value to the business.

 

 

  1. Migration to microservices

 

 

Well, it becomes essential for companies to migrate to microservices to be successful in their digital transformation journey. Adoption of multi-cloud terraform will be a definitive choice for automation of infrastructure for companies.

 

 

Technology is inevitably changing and monolithic systems are difficult to deal with. The microservices architecture will help in developing software that seeks to focus on single-function modules.

 

 

To achieve successful migration, organizations need to identify which part of the business could benefit from microservices architecture.

 

 

  1. Security will be a priority

 

 

Due to COVID-19, the worth of security increased more. It will be a crucial element in the software and application development process including – integrating, testing and implementing.

 

 

DevOps play a vital role in setting up the security policies, procedures and infrastructure. Hence, organizations must focus on developing security protocols.

 

 

Organizations that have an effective development team often fail to invest in application security. Having an application security team on board is the first step in enabling DevOps security.

 

 

  1. Serverless computing

 

 

Serverless architecture is gaining significant momentum amongst the DevOps community. Technology leaders like – AWS, Azure and Google Cloud Platform provide enhanced scalability, deployment and productivity at nominal cost.

 

 

Serverless computing allows developers to purchase backend services on a “pay-as-you-use” model. This approach offers developers and organizations a level of abstraction that enables them to minimize the times and resources.

 

 

  1. Infrastructure as a code

 

 

The IaC is a core principle in DevOps in the cloud, as the servers, network, storage devices etc. This allows organizations to make their infrastructure simple by automating the process. From reducing the downtime to preventing disastrous failure, organizations can achieve a lot.

 

 

Infrastructure as Code is evolved to solve the issue of environment drift, especially during the release pipeline. It enables the DevOps team to test applications in the product environment and prevent common deployment issues.

 

 

  1. Appearance of NoOps

 

 

NoOps refers to No Operations, which means the automated software will perform all the work that the operations team would do. Organizations don’t have to hire an operation team separately and can eliminate the need for human management.

 

 

It is all about implementing the processes that automate the IT infrastructure. Businesses are moving away from manual processes of database installations, configuring firewalls, publishing the SSH keys etc.

 

 

There are many ways to make NoOps possible. Organizations must look for solutions that automate infrastructure and deliver applications.

 

 

  1. Edge Computing

 

 

Edge computing is the practice of capturing, storing, processing and analyzing data. It means running fewer processes in the cloud and moving those processes to local places. However, the IT operations need to evolve effectively to monitor and manage new sensors, devices and data.

 

 

The explosive growth of interconnected devices that require real-time computing power continues to drive the edge computing systems.

 

 

DevOps will continue to be the choice of deployment in the enterprise market place. It offers reliable, scalable and high-performance delivery – and allows organizations to build solutions with lesser dependencies and management cost.

 

 

Companies employing DevOps and its current trends will improve their capability to create effective and robust applications.

 

 

With the right set of tools and the correct level of automation, we will help you improve end-to-end processes.

 

 

To know more about our services, get in touch with us today!

5 Types of Cyber Attacks That you are Likely to face in 2021

Cyber attacks and their after-effects are considered one of the global risks. There are several types of cyberattacks that individuals and organizations can face. The attacks can be classified into –

 

 

  • Attacks that target to gain access to confidential data
  • Attacks that disable operations

 

 

COVID-19 pandemic has created something new to play for hackers. In response, many organizations have made their IT strategies flexible to protect their IT assets.  Most of the cyber attacks rely on techniques like – infiltrating the IT system, gaining unauthorized access, weakening the network and so on.

 

 

To help your business prepared for the cyber attacks in 2021, we have identified the top 5 cyber security threats. In this post, we will you will know about some of the biggest cyber threats and how to equip your business with proper cyber security for 2021.

 

 

Before we get into details, let’s know a few things about the cyber attack.

 

 

What is a Cyber attack?

 

Cyber attacks are the assaults launched by cyber criminals using one or multiple devices against a single computer or network of computers. It will maliciously disable computers, steal data, and cause severe harm to the data. Most of the attacks intend to disable the computer system while others are intended to take control of the system.

 

It is important to know that cyber attacks can launch any kind of malicious program that attempts to damage, destroy or gain access to computer systems.

 

5 types of cyber attacks

 

Organizations incur severe financial losses, reputation damage, lose customers and face many difficult situations due to cyber attacks. To curb cyber attacks, organizations need a strong cyber security policy that safeguards the network and computer systems from unauthorized digital access.

 

There are different types of cyber attacks that are a serious threat to your organization. Let’s start with the top cyber attacks on our list –

 

1.    Phishing

 

Phishing is one of the common types of cyber attacks that uses disguised email, text or phone calls as weapons. The goal is to trick the target into believing that the message is something they want. For instance – a notice from a credit card company asking the recipient to take any action to unblock their card. It is one of the widespread and pernicious attacks that are increasingly becoming sophisticated.

 

Nearly, one-third of data breaches in 2020 involved phishing. Crisis such as the covid-19 pandemic gave cyber criminals a big opportunity to lure victims into taking their phishing bait.  You can implement proactive measures to protect your organization.

 

2.    Malware attack

 

A malware attack is something when cyber criminals implant malicious programs or software on someone else’s device without their knowledge. The most common types of malware are – viruses, spyware, Trojan horse, ransomware etc.

 

Malware attacks can occur on all types of devices, regardless of their level of protection. It is difficult to detect and typically infect the user’s devices without their knowledge. Software updates are very important to fix or remove computer bugs. Run system scan or software updates on a regular basis.

3.    SQL Injection

 

SQL Injection is another kind of cyber attack that can run arbitrary commands against your database. A successful SQL injection attack can read confidential and sensitive information from the database, modify the database, administer operations on the database and do a lot more.

 

SQL queries are used to execute commands such as updates, data retrieval, record removal etc. The attackers use this method to access the back-end data and damage the reputation of the company.

 

4.    Middle-man-Attack

 

MITM is a form of cyber eavesdropping in which the cyber criminals join the conversation between two parties and interpret the data through a compromised system. In many cases, organizations are unaware of the attack until data has been tampered with.

 

The Middle-Man-Attack can be executed in several ways that exploit the communications between other parties. Some of the MITM Attacks include – session hijacking, Wi-Fi eavesdropping, DNS spoofing, IP spoofing etc. This type of attack can be for financial gain or espionage,

 

5.    DNS tunneling

 

DNS tunneling is one of the difficult to detect cyber attacks that route the DNS requests to the attacker’s server. To establish a DNS tunnel, the attackers register a domain and setups a C&C server to send DNS query for a subdomain that represents encoded communication.

 

This cyber attack takes advantage of the fact that by using DNS requests to implement a command for the malware. The DNS is a flexible protocol and makes it possible for even unsophisticated attackers to use DNS tunneling technique to sneak data past the network security solutions.

 

Conclusion

 

There is an entire industry of cyber security that is focusing on adapting security practices to prevent cyber attacks. Businesses need to protect all their workloads, data and applications across multiple domains. They need integrated solutions to automate system monitoring, endpoint protection, vulnerability assessment and more to stop emerging threats.

 

If you would like to see how Amvion can help your organization defend against cyber attacks, schedule a FREE consultation with us today!

Manage supply chain operations using Data Analytics

Data analytics represents the ability to make data-driven decisions based on trusted data. The data is often visualized in the form of graphs and charts to generate meaningful insights.

 

 

 

The supply chain generates a massive amount of data and hence analytics will help to uncover the patterns and make decisions.  Big data analytics play a very important role in improving supply chain management by resolving the pain points at the operational and strategic level.

 

 

 

 

Analytics reports help the managers to monitor the performance and achieve operational efficiency to improve productivity. The key benefits of data analytics in the supply chain are as below –

 

 

 

Understand usage patterns

 

 

Supply chain industries are actively investing in data analytics to understand the usage pattern and behaviour of consumers. With more than 2.5 quintillion bytes of data created every day – data analytics is the art of cleansing, modelling and transforming the data to derive some meaningful information and use it for future predictions.

 

 

 

For instance – Airtel, one of the leading telecom companies use big data analytics to predict network growth, plan network expansions, retail the subscribers and increase revenue.

 

 

 

Inventory management

 

 

 

Another key advantage of data analytics is the effective management of inventory. Big eCommerce stores with a huge inventory and database have to overcome several challenges in terms of managing the inventory. Data analytics enables operation managers to get regular updates and identify the hurdles that slow down the supply chain process.

 

 

 

For instance – Amazon, one of the biggest online retailers use data analytics in inventory management. From selecting the nearest warehouse to distributing the inventory as per customer preference – everything is handled by big data analytics.

 

 

 

Execution and delivery

 

 

 

Big data can help with supply chain management by reconfiguring the moving parts to optimize the available resources and maximize the output. It is all about speed, accuracy and efficiency. Real-time data monitoring can reduce a lot of redundancies and result in significant performance improvements.

 

 

 

Besides, data analytics can help reverse the logistic costs such as – restocking the expenses, transportation cost, shipping overheads etc.

 

 

 

Types of Supply Chain Analytics

 

 

 

As mentioned earlier, supply chains generate a huge volume of data. Small, medium and large enterprises need to use supply chain analytics to streamline their operations –

 

 

 

  1. Descriptive analytics – Use descriptive analytics to improve the visibility of supply chain operations. The insights from descriptive analytics can be used to keep track of the operations. Y=Using descriptive analytics in the supply chain can reduce the overhead expenses and lower risks – while improving the supply chain.

 

 

 

  1. Predictive analytics – It is all about predicting future trends such as supply chain metrics, predicting future trends etc. Using sophisticated models, companies can determine detailed inventory requirements by usage, location and region. According to sources, companies that adopt predictive analytics models achieve a high return on their investment. Unlike historic analytics, predictive analytics allows supply chain companies to anticipate and prepare for the future.

 

 

 

 

  1. Prescriptive analytics – Prescriptive analytics is all about what you should do next. Enterprises can depend on prescriptive analytics to posture the inventory policy. These analytics use predictive analytics as a foundation and add optimization capabilities.

 

 

 

The rise of the digital supply chain has allowed supply chain companies and transportation services to work together in profound ways. We at Amvion labs offer unstacked data solutions that enable our clients to collect, organize and analyze the data for better decision making. Our Analytics solutions provide you with a 360-degree view of your target audience and help you improve content personalization, targeting and campaign performance.

 

 

 

Want to know more about how we can help you turn your big data into actionable insights? Contact us today!

Data protection and privacy laws in India – Everything you need to know

Indian organizations are facing a lot of problem due to the absence of a proper legislative framework to protect the data. There is a surge in the number of cyber crimes on a global scale.  India being one of the largest hosts of data processing, it is at higher risk of cyber crimes. Hence, there is a great need of data protection and privacy.

 

 

The data security council of Indian (DSCI) must strengthen the data privacy guidelines to prevent potential cyber attacks. The best solution comes from the legislative approach along with employee awareness. With increase cyber crimes, it is a high time to pay attention to data privacy in India.

Related – What is the role of AI in Cyber Security?

 

 

 

 

 

 

 

 

 

What is Data Protection?

 

 

Data protection refers to the set of policies or guidelines that seek minimum intrusion into the privacy of any individual through the usage of their personal data. There is no specific legislation in India dealing with data privacy and protection.

 

 

The Information Technology Act, 2000 contains a provision to prevent unauthorized use of devices and the data stored in them. According to this act – it is illegal to access unauthorized computers or data stored within them.

 

 

 

What are the Challenges with Data Protection?

 

 

Though the data protection law in India addresses various security issues and articulates the rights of individuals, it lacks a robust protection framework. There are several rules and guidelines such as – IT Act, Aadhaar Act, Right to privacy and Right to Information Act that govern the data privacy and protection in India.

 

 

Each of the above Acts seeks to establish basic protection practices in terms of collecting, storing and utilizing the data – while entitling certain rights to the data providers. Some of the challenges with data protection are –

 

 

  1. With the data growing exponentially over the last decade, organizations are at risk of data breach due to poor security practices
  2. Lack of security vulnerability patches
  3. Human error can significantly affect data and privacy
  4. The cost of maintaining data privacy is high

 

 

How to Overcome the Challenges of Data Protection?

 

 

Organizations should focus on data compliance and understand the legal basis of maintaining and processing the data. Data security is not just a compliance issue but is a great concern for the entire organization.

 

 

 

Cloud migration is likely to overcome the challenges of data privacy and protection. With the advent of technology, there is an increase in the adoption of cloud services.

 

 

Organizations need to implement adequate technical controls and identify the best practices to protect data. Here are some tips to overcome data security challenges –

 

 

  1. Make sure the cloud service provider has sufficient protection mechanism
  2. Create an access control policy so that only authorized users can access the data
  3. Ensure proper encryption of data so that no sensitive data is leaked
  4. Real-time security and monitoring of data

 

 

 

 

 

 

 

 

 

Conclusion

 

 

The lack of data privacy and security has become a major concern for organizations, especially the foreign IT companies that are doing business in India. The IT industry is sensitizing the government regarding the importance of data privacy.

 

 

With the new law introduced in 2018, organizations will have to handle the personal data seriously. Especially the start-ups whose business model is data monetization should make provision for storage limitation, data localization, privacy-by-design and string security measures.

 

 

The Indian laws seek to establish basic data privacy and protection practices through proper storing, usage and transmission of personal data.

 

 

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