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Cybersecurity
Ramsha Khan
Mar 13, 2026
Zero-Day Vulnerability Protection: What is it and How to Prepare Your Enterprise Against It?
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7 Common Bloopers That Could Ruin Your PPC Campaign
There are a few common mistakes we often overlook within the realm of PPC, which can result in failed campaigns.
The telltale signs of PPC mismanagement can be recognized by the most experienced PPC experts.
But if you’re not a PPC specialist, you might overlook those indicators. Thankfully, these indicators and best practices are easy to resolve to make the most of your paid social media marketing campaign.
Poor account structure on Google Ads is the culprit when a PPC ad struggles to yield results. When defining your ad groups, make the keywords as specific as possible. Make use of accurate matches, negative keywords, and avoid broad matches that could lead to wasted clicks.
Words are incredibly important. If you don’t pay enough attention to things like bold headings, clear value propositions and strong, persuasive calls to action, then you’re probably missing out on business.
Throughout, managers should have only about 7 to 10 ad groups per campaign and just about 20 keywords per target group.
Negative keywords are the reverse of the keywords you target. They help you to ensure that only relevant search terms display your ads.
Your quality score and your CPC are used to determine the position of your search auction and ultimately decide your overall ad spending. The lower your quality score, the costlier your campaign will be.
It’s important to reach out to new audiences, but you shouldn’t overlook those people who have already interacted with your brand. People who already know you are more likely to trust you and pay more attention to your paid ads.
To accelerate conversions, a landing page is crucial. If your PPC advert drives people to your business’s home page, they’re likely to move on to a competitor.
Saima Naz
Apr 14, 2020
How to Safeguard Your Cloud Security From Next Cyber-at...
This year has been a very exciting year for cloud computing, and it is only going to get bigger in the years ahead. It’s quite clear why businesses are preferring cloud computing; it is easier, more affordable, and it is easier to use third-party cloud services rather than maintaining your own data centers on your own premises.
Due to the shift in cloud computing, businesses, irrespective of size, have been allowed to access scalable resources, lower their IT costs, and cut down the on-site load of their IT infrastructure.
No matter what size your business is, it is a looming threat of hackers to steal information. So, in a situation like this, businesses should act responsibly and ought to be prepared when it comes to securing their data from hackers.
It is indeed possible to keep your data secured on the cloud, but there is no doubt that cyber threats are evolving and cloud servers are their key target.
Here are a few tips on how you can safeguard your cloud security from cyber-attack!
The first and most important thing to do to prevent your business from a cyber-attack is to carefully scrutinize the internal and external vulnerabilities your business encounters when it comes to hackers. What you need to do is prohibit the way from where you think a hacker can gain entry into your system, and that can be done by identifying your weaknesses. The most apt way to do it is to be informed about the several cyber fraud schemes and threats, such as malware, system hacking, phishing, and various others that a business faces. Once you know your own vulnerabilities, you can handle them in the following ways.
To date, encryption is the best way to protect the confidentiality and privacy of your data. Keep in mind that hackers are always looking for standard company-held information, whether they are bank-routing digits or employee social security numbers. So, remember to take measures to get this information encrypted. You can guard your information by switching to full-disk encryption tools, which come by default with most of the operating systems. It should not take more than a minute to switch the encryption of these devices on, and all files on your drive will be encrypted without slowing down.
Moreover, end-to-end encryption ensures the best level of protection for sensitive information and documents. As a result of end-to-end encryption, encryption is carried out on the client side so that files are encrypted before they leave your device and continue to be encrypted till they reach the supposed recipient.
This is the most common warning you must have heard a hundred times. But people give it a deaf ear and create easy-to-remember passwords, which is why their accounts get hacked. The most familiar source of cyber-attack is password prediction, yet it is the most preventable one. The tip is to think strategically when you create them. Moreover, keep changing the password often. Never try to reuse an old password or use the same password for various accounts. Do not keep any password in the cloud or a text file. Furthermore, complement your password with a two-factor authentication requirement for accessing sensitive company information services.
It would be extremely foolish to save a little amount of money and go for an inexpensive cloud. The reduced cost public clouds might look tempting, but they are frequently riddled with security threats and vulnerabilities. Although private clouds are expensive, they have minimal entry points and more stringent safety measures in place. Moreover, these private clouds are in a fairly good position to monitor your account while allowing them to preemptively deflect attacks and minimize their impact.
The transference of data back and forth to the cloud travels through the internet, which is where your data becomes most vulnerable. Note that data must be encrypted in the cloud environment at all stages of transfer and storage.
So, be sure about the channels you pick for data transfer, and make sure the data is encrypted before it is sent out anywhere. Protecting data transfer channels is a convenient way to prevent any sophisticated cyber-attacks, which most people usually overlook.
ERP software applications are accessed through Application Programming Interfaces (APIs) on the cloud. Any cloud developers should ensure that the clients access the application through secure APIs, which requires restricting the range of IP addresses or giving access only through corporate networks or VPNs. However, it is quite difficult to implement.
So, just to be sure, perform an evaluation of the existing API to check for any vulnerabilities. Analyze ways to boost it, or you can simply switch to an API that is more secure.
You cannot protect what you cannot see. Enabling continuous monitoring and logging is a key pillar of any strong cloud security strategy. Even with strong configurations and access controls, threats can still slip through undetected without proper visibility. To maintain visibility across your cloud environment, the following should be part of your setup:
Proactive monitoring allows your team to detect issues early and respond before any serious damage occurs.
As cloud environments grow in complexity, keeping track of misconfigurations and compliance gaps becomes increasingly difficult. Cloud Security Posture Management (CSPM) tools continuously assess your cloud infrastructure against security best practices and regulatory standards.
CSPM helps you:
Without CSPM, even a small misconfiguration can open the door to a major security breach.
Ransomware attacks targeting cloud environments are on the rise. A strong backup and recovery strategy is important for any cloud security plan. To protect your data from ransomware and unexpected failures, maintain:
Testing your restoration procedures on a consistent basis strengthens your business’s ability to recover without suffering prolonged downtime after an attack.
No security strategy is complete without a clear plan for when things go wrong. An incident response plan prepares your team to act quickly and decisively in the event of a cloud security breach, minimizing damage and reducing recovery time.
A solid incident response plan should include:
When it comes to breach response, time is your most valuable asset, and every second your team acts faster, the harm caused is limited.
One of the most effective ways to limit the impact of a cyber-attack is by ensuring that users, systems, and applications only have access to what they need. This principle is known as least privilege and is a key part of the Zero Trust security model.
To implement least privilege and Zero Trust effectively:
Zero Trust challenges the outdated notion that users inside a network can be trusted, treating every access attempt as a potential threat until proven otherwise.
Regularly testing your cloud environment is the only way to truly know how well your defenses hold up against real-world attacks. Think of penetration testing as hiring someone to break into your own house before a real burglar does. Your security assessment plan should cover:
Regular assessments give you an honest picture of your security posture and help you stay one step ahead of evolving threats.
With cloud technology, where there are conveniences, there are certain types of risks as well. By understanding and implementing these necessary steps, one can smartly safeguard one’s cloud security, and cyber threats can be easily thwarted. If the cloud technology is dealt with rightly, it can be the most cost-effective and secure place.
Cloud security is not a destination but an ongoing journey that demands consistent effort, attention, and adaptation. Cybercriminals are becoming increasingly creative and relentless in their approach, and businesses that only react after an attack has already happened are fighting a losing battle. Those who make it a point to regularly review their environments, keep up with the latest threats, and have the right security tools ready will be in a far stronger position when attackers eventually come calling. In a world where cyber threats never sleep, staying one step ahead is not just good practice; it is what keeps your business alive.
Ultimately, the strength of your cloud security comes down to the decisions you make every day, from how you manage access and encrypt data to how quickly you respond when something goes wrong. Organizations that treat security as a core part of their cloud strategy, rather than an afterthought, will thrive safely in the digital age. Ready to strengthen your cloud security? Contact us today and let our experts help you stay protected.
Saima Naz
Apr 8, 2020
AI Can Help Us Fight With The Pandemic
Human beings have fought against infectious diseases throughout history. Although we have developed several effective medicines, new viruses continue to threaten us. The COVID-19 pandemic has created a sense of urgency to improve existing approaches to infectious diseases’ prevention and treatment. Fortunately, the AI and data science approaches available today can help us fight infectious diseases in a better way.
The novel coronavirus has spread from its epicenter in China to infect 414,179 people and has caused no less than 18,440 deaths in at least 160 countries over a three-month period from January 2020 to date. According to the Report on the Situation of the World Health Organization (WHO), these estimates are as of 25 March. Accompanying the horrific loss of life caused by the outbreak is the impact on the world economy which has reeled from the pandemic’s consequences.
As research specifics unfold, the data set is rising exponentially, beyond the capacity of human intelligence to handle the pandemic. Artificial Intelligence (AI) is specialized in detecting patterns from big data, and this article will help us understand how it has become one of the ace players of humanity in coping with this crisis. Using China as a particular example-study, the success of China with AI as a crisis management tool shows its effectiveness, and justifies the financial commitment that technology has had to develop in the past few years.
Developments in AI applications like natural language processing, speech recognition, data analytics, machine learning, deep learning and others like chatbots and facial recognition have been used not only for diagnosis, but also for contact tracing and development of vaccines. AI has certainly helped control the COVID-19 pandemic and succeeded mitigate the worst effects.
AI has been implemented so far in a variety of ways and the following are only some of the cases in which the technology has been used as a tool to solve the pandemic:
AI algorithms will help with the search through news reports and online content from around the globe, even before it reaches epidemic proportions, helping experts identify anomalies. The corona outbreak itself is a perfect example of AI being applied by researchers to analyze flight traveler data to determine where the novel coronavirus would occur next.
Successful implementation of predictive models will be a major step forward in the struggle to eradicate some of the most infectious diseases from the world. Big data analytics can help decentralize the process and allow timely analysis of widespread data sets produced in real-time by the Internet of Things (IoT) and mobile devices.
Instant diagnosis ensures that response measures like quarantine can be easily implemented to prevent further spread of the infection. An obstacle to rapid diagnosis is the relative lack of clinical expertise due to the sheer number of cases required to interpret the diagnostic results.
In the COVID-19 crisis, AI has improved its diagnostic time through technologies such as that built by LinkingMed, a Beijing-based oncology data platform and medical data analysis company. Pneumonia, a common complication of COVID-19 infection, can now be diagnosed with accuracy as high as 92 percent and a recall rate of 97 percent on test data sets from an analysis of a CT scan in less than sixty seconds.
An open-source AI model made this possible by analyzing CT images and not only did it identify lesions but also measured in terms of quantity, volume and proportion. This platform, novel in China, was driven by Paddle Paddle, an open-source deep learning platform to Baidu.
The number of COVID-19 cases has demonstrated that they will overwhelm healthcare systems and response measures. AI has leveraged its natural language processing capability to develop a multi-lingual virtual healthcare agent that can address COVID-19-related questions, offer accurate information and specific guidelines, prescribe safety strategies, track and control symptoms, and advise individuals about whether they require medical testing or self-isolation.
Thermal cameras have been used for detection of people with fever for some time now. The technical downside is the need for a human operator. Cameras with multi-sensory AI-based technology have already been used in airports, hospitals, nursing homes, etc.
The technology recognizes people with fever automatically and records their movements, identifies their faces and detects whether the person wears a face mask.
As AI rapidly becomes the staple, health care is certainly a field where it can play a significant role in keeping us healthy and safe. And AI Healthcare will continue to provide solutions to any of the arising epidemic.
Saima Naz
Apr 1, 2020
Microsoft Edge or Chrome in Disguise?
Statcounter research states that, ‘As of December 2019, Chrome had 69% of the world’s web browser market, compared to 4.6 for Edge and 3.6% for Internet Explorer.’
Microsoft has released an updated ‘Edge’ browser, released on January 15, which is actually the tech giant’s third attempt at building a browser that offers a better browsing experience while opting the strategy, ‘if you can’t beat them, join them.’
The first attempt, Internet Explorer, was launched in 1995 and ultimately became the most successful browser in the world. The company’s second browser, Edge, launched in July 2015, was Microsoft’s attempt to replace Internet Explorer and regain browser supremacy. That version of Edge did not work. It was only available for Windows 10, was unreliable, overloaded with functionality that few users desired, and severely lacked items which users actually wanted.
The third and the most recent attempt is, ‘Microsoft New Edge’ in which, instead of creating the proprietary code browser, Microsoft opted to use open-source Chromium source code to build the new Edge, which was originally developed by Google and is now underpinning Google Chrome and other browsers. Seasoned Chrome users will quickly feel comfortable with it — and it also allows extensions to be installed straight from Chrome’s own web store. Unlike the initial Edge browser, the Chromium-based Edge works with Windows 7, Windows 8.1 and macOS.
We have handpicked the minute differences between the two, to help you understand them better.
In the new Edge, the user interface is quite similar to what you’d expect while using Chrome. They both have rounded corners and the effects of shadow falling. As for the bookmarks bar, both Chrome and Edge just display the bars on new tabs.
Edge offers three options for you to choose from for your new tab. The Centered theme displays your most often visited pages, Inspirational presents a different picture daily, and Informational presents you with a personalized news feed. Chrome has only one focused theme option.
Edge appears to be faster in several tests, by just using 70-80% of the RAM which Chrome makes use of. So, in case your system doesn’t have a huge amount of RAM, Edge can offer you smoother and faster browsing. Edge also taxes less on the computer, making freeze-ups less regular.
Both Edge and Chrome provide access to more-functional extensions. Since both are designed on Chromium, most of the Google Chrome Store extensions function on Edge too. You must click on the three dots to use them, and choose Extensions. Then move the slider to On, next to “allow extensions from other stores.”
In the Microsoft Store, there are plugins specifically designed to work with Edge, but going out of the browser seems like an unnecessary step to add this, while you can do it all in one place with Google’s extensions.
While Google Chrome lets you sync your browser history and extensions between device-to-device, Microsoft Edge doesn’t. And if you think it’s important that your browsers work the same on various devices, Chrome’s a better choice.
Using Microsoft Edge’s Progressive Web App (PWA) support, you can convert almost any website into a standalone app. Creating a PWA provides you a desktop shortcut that connects to the site which you can see in a browser without the address bar and other features. This feature is not available on Chrome.
Collections is something which sets Edge ahead of Chrome for many of us. Collections allow the user to accumulate information from a number of sources and to bring it in one place to refer to again. It is useful in situations like planning trips, writing research papers, or comparison shopping. Collections are not live on the new version at the time of this writing, but you can use it by installing the Canary version.
One amazing feature of Microsoft Edge is that it reads to you on your mobile as well as your desktop screens. The new Microsoft Edge reads on both your desktop and your mobile phone. To do so, Chrome needs an extension to the desktop and mobile versions. More languages and voices can also be downloaded in your Windows Settings.
Edge has an immersive reading experience which eliminates all unnecessary distractions from the page, leaving only the text and other relevant content. You can also adjust background color. Chrome once had a reader feature, but now you have to install a plugin in order to enjoy both read aloud and reader view.
Edge provides you three different degrees of tracking security: Basic, Balanced and Strict. Balanced is the standard, allowing you to have some customization that you won’t get in Strict mode. In Basic, you will get a lot of customization but less privacy. For Strict mode, certain websites may not be working properly.
It is quite simple to find out which trackers are blocked on the websites you visit on your Microsoft Edge browser. You can:
In Microsoft Edge, you can configure which site-by-site permissions you wish to offer. In Chrome, however, you can either block or allow for all the sites.
Like any other browser, Edge and Chrome both have private browsing tabs. You’ll see it listed as InPrivate on the Edge browser while Chrome refers to it as an Incognito tab. Such browser windows do not save any activity when it is used for internet browsing.
Overall, Edge enjoys an edge over Chrome in that running it requires fewer resources. Also, if you’ve previously sworn off Microsoft browsers, it may be worth a try.
Saima Naz
Mar 30, 2020
Basic SEO Tips to Rank Your Content on Top
If you’re relatively new to the search marketing world, you might have heard in marketing meetings the word “SEO content” being tossed around.
Thousands of people search for content like yours every day. You can help them find you by becoming an SEO content expert. 80% of traffic on a website begins with a search query, according to HubSpot. This is why optimization of the search engine (SEO) for your content has become so essential.
Because when you write content for the right people in the correct way, your content will climb higher on search engines.
Content SEO refers to producing content that makes search engines rank the web pages higher. Content SEO is essential as your website is viewed by search engines such as Google, and the words you use on your blog decide whether or not your content can appear on their results pages.
Therefore, let us guide you with content SEO basics. Let’s get started!
Find out which keywords and phrases people are searching for (and also what you can be good at), and make a chart for yourself. Keep record of how many times you use the keywords in your content, and use the appropriate tools to determine where you rank with your target keywords. Without any second thoughts, our favorite is SEMrush.
Although it is always a smart idea to use your target keyword in the blog, peppering the copy with forced keywords won’t help push the dial much. Use your keyword in the title, in the first 300 words, and then in the first H1 or H2.
Also, having the keyword in your copy will never be difficult. Ideally, the keyword in your writing should feel natural.
SEO content shooting to the top of SERPs has a few things to do with it, including this major feature: it’s amazingly readable. Once your audience clicks on your link, they want to linger and read every single element on the page. And that makes the website look amazing for Google as the audience stay and read it. Readability leads to longer stay times with a variety of attributes added in:
• Clarity
• Organization
• Logic
• Simplicity
Your content has to express all types of information in a comprehensible manner to be readable. And, as more people understand your content, more people will stay longer which will boost your rankings in Google.
Google is not a marketing agency. You have to focus on what the target customers want. When you realize what they want, then you will create content that pulls them in.
Listening to your target customer’s input, it informs the content you create to draw more of them. If you’re writing, you can always strive to give your readers some sort of interest.
According to research, blogs featuring relevant images gain 94 per cent more views than articles without images. That’s because, simply, we’re designed to note and respond to images more than content.
Nevertheless, the impact of integrating well-designed, high-quality images into the content, is much greater than putting in a few irrelevant, overused stock images. The content with the right images will look more organized, professional and trustworthy, and it’s a great idea to invest in them for better SEO.
As a writer, you are not expected to be able to migrate a site or enable HTTPS across a whole domain. Yet understanding a basic SEO linking will make you a better SEO writer.
So first of all, it will help you build a strategy by understanding how Google crawls pages and hands out the link authority. After all, content writing is not just about writing a single blog post — it’s about writing a lot of them (and linking them up).
Also, if you have a fair idea of how your content is structured, you will help make it a little more effective— which ensures that a backlink to one of your posts will give the maximum benefit to your site.
Today, content or blog is undoubtedly the most effective digital marketing tool. Content SEO is the most competitive and by far the most successful way to drive sustainable traffic to your website. These steps can help you create credible and competitive SEO content over time and you will be able to rank higher on google or any other search engines.
Saima Naz
Mar 25, 2020
Best Python Libraries for Machine Learning
Machines are getting smarter day by day. They can automatically find repeated patterns with basic data observations, and make informed decisions without any human interference.
Machine learning’s exponential growth is largely driven by various open-source tools which make it much easier for Python developers to familiarize themselves with this language and adapt accordingly. For a long while now, Python has become a charmer to data scientists.
In the early years, people used to execute Machine Learning activities by coding all the algorithms and mathematical and statistical method manually. This made the process slow, frustrating and time consuming. But in the modern days, different python libraries, frameworks, and modules have made it very simple and efficient compared to the older days. Today, Python is one of the most successful programming languages for this role and it has surpassed much of the industry’s languages, one explanation is its extensive collection of libraries.
Python owns a wide collection of data types and data structures. But nevertheless, it wasn’t designed for Machine Learning per say. Numpy is a library that handles data, particularly one that helps us to manage large multidimensional arrays along with a huge collection of mathematical operations.
Numpy is not only a library known for its multidimensional data processing capabilities. It is also recognized for its execution speed and ability to vectorise. It offers the functionality of MATLAB style and thus needs some preparation before you can get confident. It is also a core dependence for other commonly used libraries, such as pandas, matplotlib, etc.
TensorFlow is an end-to-end python machine learning library to run numerical high-end computations. TensorFlow can accommodate deep image recognition neural networks, handwritten digit identification, recurrent neural networks, NLP (Natural Language Processing), term embedding and PDE (Partial Differential Equation).
TensorFlow Python offers excellent architecture support to allow fast computation deployments over a wide range of platforms, such as desktops, servers and mobile devices.
Abstraction is TensorFlow Python’s main appeal towards machine learning and AI projects. This feature allows developers to focus on the application’s comprehensive rationale rather than dealing with the tedious details of implementation algorithms. With such a library, python developers can now leverage AI and ML efficiently to create unique, responsive applications that respond to user inputs including facial or voice speech.
Theano is another fantastic computational framework for computing multidimensional arrays that comes in handy. Theano integrates closely with Numpy, which can handle data-intensive computations relative to a typical CPU.
While the library has similarities with Tensorflow, in terms of fitting into production environments, leaves much to be desired.
Theano is a popular python library used to efficiently describe, evaluate and optimize mathematical expressions concerning multi-dimensional arrays. It is done by optimizing CPU and GPU utilization. It is widely used to identify and detect different types of errors for unit-testing and self-verification. Theano is a very multifunctional library that has long been used in large-scale computationally intensive scientific projects but is easy and open enough for people to use it for their own projects.
Keras is a leading open-source Python library written to build neural networks and projects of machine learning. It can run on Deeplearning4j, MXNet, Microsoft Cognitive Toolkit (CNTK), TensorFlow or Theano. It provides nearly all standalone modules including optimizers, neural layers, functions for activation, schemes for initialization, cost functions, and regularization schemes. It makes adding new modules quick much like adding new functions and classes. Seeing that the model is already specified in the code, you do not need to provide separate config files for the model.
Keras makes designing and developing a neural network easy for beginners in machine learning. Keras Python also addresses convolution neural networks. It requires normalization algorithms, optimizer layers, and activation layers. Rather than being an end-to-end Python machine learning library, Keras works as a user-friendly, extensible interface that improves modularity and total expressiveness.
Pandas is an open-source Python package offering high-performance, easy-to-use data models and data analysis tools for the Python programming for the labeled data. Pandas stands for Python Data Analysis Library.
Pandas is a handy tool for munging or wrangling data. This is programmed to manipulate, read, compile, and visualize data quickly and efficiently.
Pandas take data into a CSV or TSV file or SQL database and create a Python object called a data frame with rows and columns. The data framework, say Excel or SPSS, is very similar to a table in statistical software.
Developed on top of NumPy, the SciPy library is a set of subpackages that help to solve the simplest statistical analysis-related problems. The SciPy library is used to process the array elements defined using the NumPy library, thus it is often used to compute mathematical equations that cannot be achieved using NumPy.
Scipy works alongside NumPy arrays to offer a framework that delivers numerous mathematical approaches such as numerical integration and optimization. It has a sub-package collection which can be used for vector quantization, Fourier transformation, integration, interpolation, etc.
Scipy presents a complete stack of Linear Algebra functions used for more complex computations such as clustering using the k-means algorithm, and so on. Moreover, it supports signal processing, data structures and numerical algorithms, creating sparse matrices, etc.
Saima Naz
Mar 20, 2020
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