How to design your business’s Logging & Monitoring Policy?

We live in a complicated world where intrusions, breaches, and other criminal internet activity appear to be in the news all the time. The constant risks that today’s enterprises face must be addressed by security procedures that are effective enough. Given the increased numbers of cybercrimes against DoD contractors,  IT services for government contractors has become essential.

The ability to gather, analyze, and report data that supports these various areas is essential because security professionals have a lot on their plates, including identification and verification, access control, data encryption in both transit and at rest, data integrity, scheme, and availability of information, vendor management, incident handling, security controls, vulnerability analysis, malware defenses, and application security.

While logging and tracking, like the areas already described, are essential components of an organizational security program, they play a unique function in assisting and offering insight into each of the other vital areas. This blog will provide a brief review of logging and tracking, some of the accompanying problems, as well as recommended practices.

Why Is Logging Important and What Is Logging?

To put it simply, a system log is a group of discrete recordings that each indicate a particular action, event, error situation, problem, or general state on a network or information system. Important information in these log entries aids system and security managers in understanding what is happening in an information system.

Logs assist administrators in being aware of any potential (or real) illicit behavior on the framework or modifications that may occur that weaken the system’s overall security because many logs comprise security-relevant information.

Administrators, security workers, and development teams won’t be able to see any system activity if the system doesn’t produce logs. They won’t be aware of any potentially harmful behavior in the system, and they won’t be able to react to it either. They won’t know how a compromise happened or the attacker’s subsequent switch in strategy. Once data is exfiltrated and their malevolent presence continues, attempted, and successful assaults will go undetected eternally.

The Federal Information Security Management Act (FISMA), and the Health Insurance Portability and Accountability Act are two examples of federal laws and regulations that demand the maintenance of audit logs by IT solutions and services company.

What Must Be Registered? Policy for Logging and Monitoring

It depends is the response to this query. There are a lot of criteria that contribute to choosing what should be incorporated into an organization’s security logging settings. Other logs are also used to track things like availability, performance, error circumstances, etc.

It is not necessary to turn on a feature to produce log events just because it is available because doing so could increase the likelihood of log overflow, which is typical in many contexts. Basically, an organization’s security logging and monitoring policy should determine what is logged, how logs are communicated, how logs are rotated, retained, stored, etc.

Supporting forensic investigations into actual or prospective breaches is one of the main justifications for enabling security logging. Therefore, it is crucial to record incidents that will aid breach examinations, including the ones listed below:

  • Login events that are successful and unsuccessful
  • Management of accounts activities
  • use of authorized commands in apps and on the computer system
  • alterations to authorization
  • Critical data sets’ data access, modification, and deletion

The audit record for each of the aforementioned audit events should also include:

  • A timestamp.
  • The location of the event.
  • The event’s origin.
  • The event’s outcome.
  • Any identifying information for the people or processes posing on behalf of people who carried out the action.

Understanding Emulator and Simulator for Mobile Testing & Debugging

With 6.5 billion or more cellphone consumers globally, it is no surprise that the application development industry is reaching new heights. It’s one of the things driving up the use of mobile apps globally. As a result of these numbers, the development of mobile apps is steadily increasing to remain competitive in the market.

Mobile app testing by app developers in Virginia is essential for ensuring that the app’s reliability, accessibility, usefulness, and performance meet various testing requirements and provide the desired user experience on a range of devices during the web or app development process.

Businesses are implementing the top mobile device testing solutions to enable fast and affordable mobile app development. Everyone understands the value of reliable testing, but picking the right tool is essential.

In this blog, we will uncover some mobile testing device solutions.

Mobile Testing Device Solutions

As technology advances over time, testing keeps up with these developments in newly developed mobile screening device solutions. By examining the app’s behavior, UI, and functional elements, such solutions were developed to allow mobile app assessment and cross-browser analysis of sites on multiple mobile phones.

Such testing is carried out to ensure that websites and apps behave consistently across various mobile devices. The OS, screen resolution, and hardware configuration of these devices vary, so what functions one way may not function in another.

Mobile testing is conducted mainly on two kinds of devices:

  • Real Devices
  • Virtual Devices.

Real Device

A real testing device is another mobile handset type utilized to operate the site or app to assess its functionality or behavioural patterns. To use the apps or websites, end consumers would use such actual or real devices.

The testing team typically purchases a few mobile devices with iOS, Android, iPads, and tablets to test their software apps.

Virtual testing device

A virtual device, in contrast to a real one, is a piece of software used by IT companies in Virginia on a computer that simulates various vital elements of a real smartphone. Its mimicry of a smartphone makes it easier for testers to execute software applications on it and determine how well they operate when used with the specified real device


These gadgets are economical, but their accuracy and dependability prevent them from replacing real instruments.

There are two different virtual testing tools:

  • Emulators
  • Simulations

The findings we obtain from testing on actual devices are significantly more accurate. Still, the expense of testing is higher because the business must purchase a few devices and regularly upgrade them as more innovative devices launch in the market.

Therefore, the corporations discovered a means to avoid the costs associated with testing on real devices by inventing virtual testing equipment. In this manner, whenever testers attempt cross-browser integration testing for their product, virtual devices come to the fore.

What are Emulators?

An emulator is a piece of software replicating the hardware and software of the intended device on a computer. They achieve this by employing binary translation to translate the target device’s Instruction Set Architecture (ISA) to the ISA of the computer you might use to conduct the test.

Every processor family uses the ISA set of directives, defined in machine language, to create the setup of their device while keeping in mind the behavior and functioning of the hardware. By translating the ISA of the target mobile device and creating a simulated environment for assessment, you can simulate the performance of your target device.

Some popular emulators for the testing process include the iPhone emulator, Galaxy emulator, and Android emulator.

What are Simulators?

A simulator is typically used with iPad and iPhone devices. It is software that helps your computer execute a particular program on several OSs.

The required app is executed inside the required iOS simulator, which imitates an iOS device on top of the computer’s OS. However, one can only use the iOS simulator on macOS because it needs Apple’s native Cocoa API. Runtime, GUI, and many more tasks depend on this API.

Because they must utilize a MacBook to operate on it or virtualize macOS on their present computers, this seems to be a problem for developers.

Simulators don’t simulate hardware, in contrast to emulators. This is why using simulators for evaluation prevents one from looking at specific functionalities like cellular delays, battery usage, etc.…

Some Artificial Intelligence Trends that Will Set the Course for Digital Marketing in 2022 and Beyond

Nowadays, AI is more widely used than ever.

It really is everywhere.

It is expected to be one of the most revolutionary events of the 21st century, with effects on almost every part of our life, from routine ones like content creation and shopping to cutting-edge ones like space exploration.

A Gartner report estimates that the market for AI software will generate $62 billion in revenue by 2022. That represents a record high and a rise of 21.3% from the previous year’s figures. Over 50% of businesses are said to utilize AI, according to a McKinsey poll.

Therefore, there are strong signs that AI, along with other developing technologies, will significantly impact how we conduct our daily lives and business.

This can only suggest that AI technology is here to stay and that the sooner you embrace it, the better. For digital marketing Virginia Beach professionals, it’s time that they embrace AI and machine learning into their marketing efforts.

A whole new level of opportunity, automation, personalization, service delivery, and data accessibility are among the predicted effects of AI.

Okay, let’s get started.

Trend 1: Generative and Creative AI

While generative AI is focused on producing texts, creative AI is concerned with making art, video, audio, poems, etc. These are a few of the most well-known applications of AI technology that have grown incredibly popular over time.

Since the development of GPT-3 by OpenAI, I’ve seen fantastic AI story generators and writers that significantly simplify the process of creating content.

They produce authentic, faultless texts in various languages that adhere to predetermined tones and styles. This artificial intelligence technology is beneficial in many different contexts and industries.

Creative AI is equally astounding with tools that enable you to create original artwork, automate modifications, or apply styles. Many AI video makers can even turn texts into videos.

And it’s set to get even better with GPT-4 and future advancements in creative AI technologies.

Trend 2: Language Modeling and Conversational AI

Machine learning is used in language modeling to establish the relationships between texts. Language modeling, which uses sizable statistical models, enables computers to comprehend human texts and statements and their composition.

Using voice instructions, conversational AI technology enables improved interaction with customers, users, employees, etc. It uses artificial intelligence (AI) frameworks like machine learning and natural language processing (NLP) to deliver chatbots or voice assistants like Siri, Cortana, and Alexa.

Natural language processing does more than just create writings and sounds that sound like they were written or spoken by humans.

For instance, NLP performs translation, speech recognition, character recognition, analysis, and interpretation. The advantages for people and businesses are not even close to being covered by these.

Conversational AI is frequently used across many businesses, including IT solutions and managed services industry, with chatbots serving as its primary application. The banking, travel, advertising, and health industries are all included in this.

Trend 3: No-Code AI

Zero code? No issue.

No-code AI systems are so popular these days that you may have heard of them or perhaps used one. It is laborious, time-consuming, and typically takes skill to build AI systems from the start. No-code AI has become more and more popular as a result.

These technologies enable people and companies to construct and utilize complex platforms with little technological expertise. No-code AI also removes several obstacles and makes more tech options accessible to beginners.

The ability to drag and drop items is a typical feature of these systems. The end result is time- and money-saving tools with rapid fixes for coding, debugging, and problem-solving.

Trend 4: AI Cybersecurity

90% of American healthcare businesses experienced a cybersecurity breach three years before the publication of the United States Healthcare Cybersecurity Market report of 2020.

As the Deep Instinct analysis states, the utilization of malware and ransomware surged to 435% in 2020. Similar challenges abound in other businesses.

According to the World Economic Forum, cybercrime is a significant danger to economic growth. These are troubling problems and statistics that necessitate prompt correction. And this may explain why there has been a rise in the prevalence of AI cybersecurity trends as more companies look for ways to protect their websites and online data. Since cybercrime is a sophisticated type of crime, conventional methods might not be sufficient. However, autonomous threat identification and pattern detection systems can be implemented using artificial intelligence. AI can identify threats even before they materialize, but more research is still needed.…

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