Tuesday 26 October 2021

How AI will Transform Software Development - Ways to integrate AI into Software Development

How AI will Transform Software Development - Ways to integrate AI into Software Development

We have already talked about the impact of AI (Artificial Intelligence) in Software Development in Part-1 and how AI can add benefit in Part-2. Now we'll look at the way to integrate AI into the Development process.

3 ways to integrate AI into software development

AI is becoming a more enticing and practical alternative for enterprise software development as technology advances. Here are three approaches to using AI to boost developer productivity:

1. AI in coding

AI-based routines can forecast the next action or method call within a line of code in various Integrated Development Environments (IDEs). While AI had a primitive effect on these processes in the past, it has now gotten more complex.

IDEs only recommend a method. IDEs can now type ahead, complete the method invocation and fill in all essential arguments and parameters, thanks to advances in AI in software development.

Ultimately, this feature can substantially speed up the development process while preventing syntax errors from breaking a continuous integration build.

2. AI in software generation

The next major AI trend in software development is the capacity for AI systems to look at a use case or system requirement and produce code that implements the functional condition and even constructs test cases.

Because computer-generated code still requires human monitoring and examination, it is all still experimental and academic. However, as IDEs weave AI into all parts of software development, the world will eventually see even greater advancements in computer-generated code in the future.

3. AI in specified guidance

The third AI trend in software development is augmented coding. Ultimately, it is about how AI gives tailored guidance for a developer's goals. Imagine it as something similar to Google Maps: Although one may know how to go somewhere, Google Maps can advise a route that is either faster or more suitable due to current traffic conditions.

Today, AI can assist developers in coding the next word or relevant code line. Still, the biggest efficiency gains come from anticipating entire blocks of code that can solve a functional problem.


Originally Published at Entrepreneur

How AI Will Transform Software Development
As AI is already helping human developers at every stage of the development process, software development will only improve with AI.
How AI will Transform Software Development - Ways to integrate AI into Software Development

https://bit.ly/3bb5SSf
https://bit.ly/3ntjldS

https://guptadeepak.com/content/images/2021/10/How-AI-will-Transform-Software-Development---Part-3--Ways-to-integrate-AI-into-Software-Development-.jpeg
https://guptadeepak.weebly.com/deepak-gupta/how-ai-will-transform-software-development-ways-to-integrate-ai-into-software-development

Thursday 21 October 2021

Role of CIAM in digital transformation

Role of CIAM in digital transformation

Digital transformation has become the need of the hour for every consumer-focused business today. Factors such as rapid innovations, data regulations, evolving consumer demands, higher consumer expectations of privacy and security have contributed significantly.

"Consumers today prefer to use a service (pay as you use) rather than own it (one-time purchase). So to retain existing consumers and attract new ones, businesses must continually evolve their service experience as the market evolves."

More so, Covid-19 has changed the way consumers interact with businesses. They demand exceptional consumer engagement and service from any device at any time with the highest levels of security and privacy.

According to IDC, digital transformation will reach nearly $2 trillion (about $6,200 per person in the U.S.)—a worldwide increase of 83 percent, by 2022.

However, digital transformation also translates into a lot of challenges that businesses face. The major ones include:

  • Consumer experience at stake, 80 percent of businesses believe they deliver outstanding consumer experiences while only 8 percent of their consumers agree (source Bain & Company).
  • Multiple disjointed identities, authentication, and access management systems.
  • Disparate systems handling consumer data, leading to siloed or fragmented data.
  • Inadequate protection of large-scale consumer data, leading to data breaches.
  • More responsibility for businesses to manage data responsibly and meet compliance requirements.
  • Multiple digital services to meet consumer needs, leading to the need to streamline and transform all services.
  • Not enough developer resources to handle the transformation, resulting in delayed time-to-market.

The good news is that CIAM can help businesses overcome these digital transformation challenges.

Consumer Identity and Access Management (CIAM) allows businesses to securely authenticate their consumers and provide them frictionless access to digital resources. It covers customer experience, security, privacy, and analytics.

CIAM: Addressing challenges and helping with digital transformation

Consistent, seamless omnichannel experience for consumers

CIAM helps businesses provide a smooth authentication and access experience for their services. Businesses can choose the right form of authentication for their consumers ranging from password-based to passwordless logins, from biometric to device-based authentications.

Businesses should focus on strategies to minimize friction because unnecessary friction leads to consumer churn.

With single sign-on (SSO) via a CIAM, businesses can handle consumer log-ins to their various services through a single account. This reduces friction by eliminating the need for consumers to repeatedly log in to different services offered by the business.  Example: If you are signed in to your Gmail account, you do not have to explicitly sign into the YouTube or Google Drive account in the same browser.

Unify fragmented consumer data

CIAM helps businesses connect consumer data points from all of their services into one account. This results in a unified view of consumer data, leaving no room for fragmented data or data silos. Businesses also gain a 360-degree view of the consumer, which is a crucial prerequisite for successful digital transformation.

Businesses can use this unified data to make better sales forecasting and marketing decisions. Insights into service usage and consumers help businesses better understand their consumers and service consumption.

Improve security and compliance

According to research, cyber attackers most often target personal information. They use this information to hijack consumer accounts or cause them logging issues.

Such incidents have a negative impact on business reputation. CIAM assists businesses in safeguarding their consumer data privacy, which can be otherwise complex and challenging to achieve during digital transformation.

The security features such as multi-factor authentication, risk-based authentication, data encryption (in-rest and in-transit), and protection against brute force attacks also play a significant role in improving the security aspect of consumer data and authentication.

Credentials stuffing has become a major threat to businesses in protecting consumer accounts. MFA and brute force protection together work as a shield against credential stuffing; MFA does not let attackers into the consumer account even if the primary credentials have been stolen and the brute force process does not let attackers make continuous repeated attempts.

Empowered developer support

CIAM supports developers of businesses; they do not have to reinvent the wheel when it comes to providing a secure and optimal consumer experience around authentication, authorization, and user management, and can instead focus on building or transforming the features that differentiate their app.

CIAMs have become a flexible developer platform, which enables fast speed-to-market and helps meet consumer needs. That’s not all, CIAM comes with the following for the outstanding developer experience and support:

  • APIs documents with sample codes
  • Language-based getting started and SDKs guides
  • Third-party integrations and event-based data processing
  • Customizable user interfaces
  • Personalizable feature workflows

Scalability to keep pace

Scalability is a unique feature of CIAM, businesses need not worry about optimization or scaling as the number of consumers for their services grows. An appropriate CIAM can handle millions of consumer authentications and data. Sometimes the scalability requirements are specific to some business events, even CIAM can easily handle such requirements and provides event-based support.

So, whether it is the changing requirements or new technology trends, CIAM partners can help businesses on another level.

Deals with complexity across devices

Consumers use various devices such as mobile phones, tablets, laptops, IoT, smart TVs, smartwatches, etc. Handling authentication and authorization processes around all these devices with the parameters of security, consumer experience, and seamlessness can be time-consuming for developers. CIAM brings all this and developers only need to use it for their services.

Compliant with data regulations

Data regulations and privacy laws require businesses to collect, store and process consumer data within the guidelines. CIAM already complies with these data regulations such as GDPR, CCPA makes it smoother for businesses.

Besides, CIAM offers centralized consumer data management and consent management as core capabilities, which are the crucial requirements of key data regulations.

Driven benefits of using CIAM in digital transformation

  • Improve consumer satisfaction (CSAT) and engagement
  • Modernize legacy systems by bringing them to the cloud
  • Maintain competitiveness
  • Get insights for informed decision making
  • Expedite new consumer experiences
  • Boost developer productivity
  • All these factors result in increased revenue for businesses.

Undoubtedly, CIAM proves to be the right partner for businesses that are planning to digitally transform their services.


Originally published at ITProPortal

Role of CIAM in digital transformation
Digital transformation has become the need of the hour for every consumer-focused business today
Role of CIAM in digital transformation

https://bit.ly/3joRQRm
https://bit.ly/3ppXKFF

https://images.unsplash.com/photo-1618005198919-d3d4b5a92ead?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=MnwxMTc3M3wwfDF8c2VhcmNofDk3fHxkaWdpdGFsJTIwdHJhbnNmb3JtYXRpb258ZW58MHx8fHwxNjM0NTg2NDQ0&ixlib=rb-1.2.1&q=80&w=2000
https://guptadeepak.weebly.com/deepak-gupta/role-of-ciam-in-digital-transformation

Don't Forget About Spooling!

Spooling, the mechanism used by input and output devices to temporarily hold data before its execution, is a normal function of your operating system. It helps the CPU stay in the execution phase for longer periods because all the instructions line up in a volatile memory before the main memory fetches them for execution.
Don't Forget About Spooling!

One of its most significant uses is in printing, but that is also its most vulnerable side. Print spoolers are used to temporarily store multiple print commands until the printer is ready for them. The service is most common in multi-function printers and larger networks of printers. However, it also has significant potential to be the means for a breach in a network’s security.

So how do print spools serve as a gateway for hackers to breach your cybersecurity? And how do you fix these vulnerabilities? Here is what you need to know.

Why These Vulnerabilities Arise

Print spoolers are designed to allow non-administrative users to be able to install printer drivers. The attackers use the same technique for remote code execution on computers with printer sharing enabled.

According to Microsoft, it can also happen when arbitrary writing is allowed by the Windows Print Spooler. With this, the attacker can easily hack your system. They will be able to view, edit or delete your data, install programs, and much more.

The Threats To Your Cyber Security

The attacker can partake in various malicious actions against your system, such as:

  • Installing a malicious printer driver
  • Using the spooler to drop files remotely
  • Using the spooler files to gain code execution
  • Commanding the spooler to print at a privileged location, etc

Types of Vulnerabilities

The vulnerabilities are usually flaws or bugs in the spooler service that the attacker takes advantage of to hack the system. Here are the three most significant attacks that can occur:

The PrintDemon (CVE-2020-1048) - The PrintDemon is a bug in the Windows Print Spooler that allows attackers to install a backdoor if they have access to the execution of low-privilege codes. This backdoor is quite persistent and stays even after the vulnerability has been fixed.

However, this vulnerability requires the attacker to be logged into the system beforehand and cannot be initiated remotely.

DoS Vulnerability in Print Spoolers - Caused due to the SHD files within the spool ones, this vulnerability still isn’t fixed since it doesn’t meet the security standards, although it can lead to a DoS attack. Such an attack is simple to issue but can cause serious damage, such as memory corruption or system crashes.

For such attacks, the attacker creates a malicious file, which, when processed by the Print Spooler, causes the system to crash. It can be done by even the least privileged user and can render the service useless for all users. Furthermore, it also deletes all the print jobs that had queued up to this point, crashing again if restarted.

Interception of Information - The attacker can also use the spooler to sabotage the communication between the users, networks, and processes. They use the ReadPrinter and the WritePrinter to read and edit the content, and the most dangerous part is that this type of sabotage isn’t even noticeable. It seems to be coming from SYSTEM inside Spoolsv.exe and does not appear to be impersonated.

Methods For Upgrading Your Security Against Such Attacks

With the risk of potential attacks, it’s best to take precautionary measures beforehand. Here are three methods you can apply to prevent such attacks:

Hardening the Print Spooler - Most vulnerabilities are patched up once detected, but that does not always provide the desired security. This is where hardening comes into play.

The print spooler settings need to be adjusted to harden the unnecessary servers. If the operating system’s settings were not previously adjusted, the print spooler would be on the Automatic settings. This mode is easily accessible to the attacker and is vulnerable to privilege escalation if left unpatched. Even if it has been patched, the possibility of a DoS attack remains.

In order to secure the network through hardening, this setting is disabled for all machines except those for which the service is necessary, such as the print servers. But even for these machines, the mode is set to “Not Defined.”

However, this method is time-taking and risky for more complex networks since it needs to be made sure that only the unrelated servers are hardened because the flow of the network could be damaged otherwise.

Another drawback to such a restriction is that you lose the ability to perform print pruning. To resolve this issue, you might have to prune manually or via an automation script.

Identifying Malicious Files - Malicious files are often embedded in a sea of regular files and are disguised to avoid detection. There are, however, a few characteristics that make them stand out. Here is how to look for them.

Scan for any file-based ports. This can be done through the PowerShell command “Get-PrinterPort.” It will get you information on all the printer ports installed on the specified computer. You can also go to a certain register key to see what is listed there.

You will be looking for any printer files with certain path file names in them, especially if they have extensions such as .dll or .exe. If you have such a printer listed, look into its function and replace it if possible because it would be an easy target for the attacker.

Creating Group Policies - Another way of increasing your security against such attacks is to establish a Group Policy that prevents the non-privileged users from accessing the Windows Print Spooler and only allows them the print function.

Conclusion

Although spooling makes tasks easier to store and faster to execute, its software has several openings that leave your network vulnerable to attacks. To ensure the security of your network, look into your print spoolers as well so they don’t remain as weak links in your security protocol.


Originally published at SecJuice

Don’t Forget About Spooling!
How does spooling serve as a gateway for hackers to breach your cybersecurity, and how do you fix the vulnerabilities?
Don't Forget About Spooling!

https://bit.ly/3DXYMws
https://bit.ly/3B3rLx2

https://guptadeepak.com/content/images/2021/10/2-1.jpeg
https://guptadeepak.weebly.com/deepak-gupta/dont-forget-about-spooling

Monday 18 October 2021

How AI will Transform Software Development - Part 2 [Benefits of AI in Software Development]

How AI will Transform Software Development - Part 2 [Benefits of AI in Software Development]

As we talked about the Impact of AI (Artificial Intelligence) in Software Development in Part-1, now we'll look at how software development will benefit from AI.

The benefits of AI in software development

Traditional software development will remain; but, it is bound for a modern transformation thanks to artificial intelligence. Regular software can easily handle all key components, such as front-end product interfaces, security and data administration. The AI method can help the Software Development Life Cycle (SDLC) resulting in higher quality software by supporting the following functions:

Accurate estimates

Software development frequently exceeds the pre-determined budget and deadlines. Reliable estimations necessitate a high level of expertise, a thorough awareness of the context, and familiarity with the implementation team to deal with this. Machine learning helps facilitate the training of data from previous projects. These projects can include user stories, feature descriptions and estimations to anticipate work and funds.

Code refactoring

For team cooperation and long-term maintenance, a simple and clean code is crucial. Large-scale restructuring will become unavoidable as companies upgrade to the latest technologies and some less painful requirements emerge.

Error handling and automatic analytics

Machine learning aids in analyzing system logs, enabling much faster and proactive flagging of issues once the technology is enabled. Moreover, it is feasible to allow the software to dynamically change the error answer without any human interaction in the future.

Intelligent assistants

Programmers devote a significant amount of effort to reviewing documentation and troubleshooting code. Developers can save time using intelligent programming assistants to provide in-the-moment guidance and recommendations such as best practices, code examples and relevant documents.

Strategic decision making

With so much time spent on different products and features, it is easier for developers to evaluate which ones need to get prioritized and which ones may get eliminated. Companies can train such an artificial intelligence platform by accumulating experience from past development project errors to aid in reviewing the performance of existing apps.

Quick prototype

Considerable amounts of time and strategy are required to transform business requirements into technical solutions. As a result, with the help of machine learning, developers can shorten this process by allowing fewer technical domain professionals to design innovations using natural language visual interfaces.

We'll talk about ways to integrate AI (Artificial Intelligence) in Software Development in Part-3.


Originally Published at Entrepreneur

How AI Will Transform Software Development
As AI is already helping human developers at every stage of the development process, software development will only improve with AI.
How AI will Transform Software Development - Part 2 [Benefits of AI in Software Development]

https://bit.ly/3FY9mWf
https://bit.ly/3aLyHEy

https://guptadeepak.com/content/images/2021/10/How-AI-will-Transform-Software-Development---Part-2--Benefits-of-AI-in-Software-Development-.jpeg
https://guptadeepak.weebly.com/deepak-gupta/how-ai-will-transform-software-development-part-2-benefits-of-ai-in-software-development

Saturday 16 October 2021

Tips for a Successful DevSecOps Life Cycle

Tips for a Successful DevSecOps Life Cycle

A DevOps implementation, if done correctly, can do wonders for any organization that’s on the hunt for efficiency, productivity, and speed. As per the 2020 survey conducted by Atlassian, 99% of survey respondents said that DevOps has had a positive impact on their organization.

However, it won’t do any good if security isn’t prioritized while adopting the DevOps best practices. That’s where DevSecOps comes into play.

Enterprises need to understand that leveraging the alignment of development and operations for workflow enhancement while ignoring underlying security issues is like trying to generate electricity from a broken solar cell on a cloudy night. Undoubtedly, the success of any DevOps initiative predominantly relies on general security practices and a robust security mechanism to mitigate risks—this is where DevSecOps plays a vital role.

There are several essential components of a successful DevSecOps implementation. Here’s how you can leverage them in your organization.

The Emerging Need for DevSecOps

DevOps can be simply defined as the next evolution of an agile development environment that bridges the gap between operations and development teams. Enterprises increasingly are turning to DevOps to boost their application development speeds and operational efficiency. Often, though, prioritizing development velocity means security concerns are left behind.

That’s why there’s an equally growing need for a secure, efficient yet still agile development environment. DevSecOps puts security at the forefront of the entire operational and development process, which safeguards good cybersecurity hygiene right from the beginning. Implementing DevSecOps directly benefits developers and operations teams working hard to deliver a flawless application in a short period of time. Moreover, this approach encourages enterprises to develop secure code and thus, secure applications. To do so, there are several resources and strategies to help implement DevSecOps into an organization’s software development life cycle (SDLC).

Secure Coding Practices

Secure coding is perhaps the most crucial aspect of ensuring stringent security right from the beginning of the SDLC. Developers who aren’t following secure coding best practices, security guidelines, and maintaining compliance while coding the application are inviting many security risks, including breaches of sensitive data and exploitation of an individual’s identity.

Hence, an organization must focus on enhancing the skills of developers and ensuring that they are following security best practices while their application is in the initial stages of development. Moreover, establishing and adherence to coding standards is also crucial, as they help application developers to write clean code.

Leveraging Automation

As we know, automation is a driving force and a key aspect in DevOps; the same goes for DevSecOps. Automating security is vital to keep up with the pace of application code delivery, especially for more prominent organizations working on various code versions. Choosing the right automation testing tools can be beneficial for organizations that wish to speed up their operations and enhance the reliability of code when it comes to security. Organizations should strongly consider using at least static application security testing (SAST) tools that help developers identify potential vulnerabilities in code in the early stages of the development life cycle.

Early Stage Testing

The biggest mistake for any organization leveraging DevSecOps is testing the application only when it’s finally completed. Beginning early with automated testing offers numerous advantages, including identifying and resolving vulnerabilities in early development stages, a quick and inexpensive way to fix issues, and saving valuable time during deployment.

However, testing during the early stages of the SDLC may also halt the overall DevOps development pipeline, so take that into consideration from a security perspective.

Implementing DevSecOps

Implementing DevSecOps isn’t a quick process and requires specific steps to get it right.

Planning and Development

A solid planning strategy for successful implementation must include test criteria, design, vulnerability models, and analysis. Once the planning is complete, the next step is development. Development teams should initially evaluate the overall complexity and challenges of their current practices. Adding a code review system in the development process can help to encourage safe and reliable coding practices in a DevSecOps environment.

Build and Test

Now it’s time to build! You can use automated tools to help combine source code with machine code; many of those build automation tools offer security features like automatic vulnerability detection. Once the build is complete, rigorous testing is carried out through various automated testing frameworks that ensure the highest level of performance and security.

Monitoring

Monitoring is another crucial aspect of DevSecOps implementation to ensure your security mechanisms are performing up to snuff.

Undoubtedly, DevSecOps has revolutionized the way enterprises handle security, especially in challenging DevOps environments. Businesses that want to get to the next level of agility without sacrificing robust security should be implementing DevSecOps.


Originally published at DevOps

Tips for a Successful DevSecOps Life Cycle
Businesses that want to get to the next level of agility without sacrificing robust security should be implementing DevSecOps.
Tips for a Successful DevSecOps Life Cycle

https://bit.ly/3vjVCQy
https://bit.ly/3DOM4jS

https://guptadeepak.com/content/images/2021/10/DevSecOps.jpeg
https://guptadeepak.weebly.com/deepak-gupta/tips-for-a-successful-devsecops-life-cycle

Tuesday 12 October 2021

Top 5 Misconceptions about Small Business Cybersecurity

Top 5 Misconceptions about Small Business Cybersecurity

Data security is increasingly becoming a big problem for businesses of all kinds. Of course, as the world becomes increasingly digital, the danger present within that digitization only becomes apparent in real-time. While experts have uncovered many safeguards and patterns to cybersecurity, it is still only a reaction to criminal action.

Thus, as security improves, cyber attackers create new attack techniques and strategies every year to steal valuable data from businesses across the globe. It is a catch twenty-two, evolving into more advanced practices and safeguards.

Although small-business owners are a diverse bunch, they all share a few characteristics. First and foremost, they want their businesses to succeed. Second, they use their websites to promote their brand and reputation while attracting new clients and generating transactions, much like a digital business card.

Regrettably, as the threat landscape evolves, cybercriminals become increasingly adept at devising new ways to hurt businesses of all sizes, and small businesses are no exception.

Even though many small businesses endeavor to educate themselves, they frequently get confronted with a slew of cybersecurity myths. These misconceptions might drive small firms to make risky judgments about data security, leaving them even more vulnerable to attack than safe.

Thus, it is critical to understand these common small business data security misunderstandings before attempting to dispel them.

Misconception 1: Small Businesses are Too Small to Be a Target

Several small-business owners assume their company is too relatively small to be a target for cybercriminals; however, being a smaller firm does not safeguard nor make their website less desirable to attackers.

Because they generally lack in-house security experience or do not have a cybersecurity solution in place, small businesses are appealing targets for cybercriminals. According to a recent study, small businesses are the target of 43% of cyberattacks, and the implications of such an attack can be severe. The average cyberattack costs a small business over $188,000.

This misunderstanding may persist as a result of the fact that small business hacks rarely reach the news. On the other hand, small firms are great targets for hackers, primarily because many believe they are not targets and consequently fail to take the essential security safeguards.

Cybercriminals will attempt to steal any credit card and banking information that a small business may have. Yet, they are also prone to extorting money from small businesses by infecting their systems with ransomware. Once on the network, ransomware encrypts all of a company's data, with the attacker offering to release the encryption key in exchange for a hefty ransom.

You should adopt a proactive approach to cybersecurity to secure your consumers and company data. This online premeditation approach does not necessitate the addition of security staff to your workforce. Businesses of any size may benefit from the same security that major corporations use to protect their data, secure communications, and defend their websites by implementing a comprehensive cybersecurity solution.

Misconception 2: An Antivirus Software and a Firewall is Enough to Keep a Small Business Safe

Firewalls are an excellent security tool that may protect a company's data from various external threats. However, no single security layer will be able to protect you from all threats.

Many small businesses believe that if they implement a standard endpoint security solution, their website will be completely safe from intrusions. Antivirus software and a firewall, on the other hand, are insufficient to protect a company's website. Small businesses must take a more holistic approach to cybersecurity as cybercriminals become more sophisticated. This opportunity entails putting in place many layers of protection and securing all entryways.

Antivirus software mostly detects threats in executable programs or macros that operate inside common document types such as Microsoft Word. On the other hand, today’s cybercriminals have penetrated web applications, including WordPress, to install malware that can compromise these systems and inflict severe damage. Unfortunately, traditional antivirus software cannot detect these threats, leaving users' websites vulnerable to infection.

Small firms should invest in automated website screening solutions to combat these risks. Scanning the site files and database for malware and other cyber threats goes a step farther than standard endpoint security. Businesses can choose a scanning solution that automatically patches security flaws detected in obsolete software for added safety.

Misconception 3: Using the Cloud is Less Secure than Using In-House Hardware

Security is a long-standing worry with cloud services when compared to firms that manage their hardware. Although, this management is not the point. Rather, few small businesses can afford to recruit professional security staffers with the skills and experience to properly defend their organizations from cybercriminals, let alone set up their own IT department.

Cloud organizations have every motivation to protect their infrastructure against attackers and allocate additional resources to monitor for breaches and respond to any intrusions that occur. Because the cloud gets based on economies of scale, this accomplishment comes at a lower cost than equivalent arrangements such as an on-premises deployment managed through a managed services contract.

Large cloud-based services like Gmail and Office 365, which run on infrastructures provided by Google and Microsoft, respectively, demonstrate the cloud's superior security. With cloud services, small businesses are certainly relieved of the need to constantly monitor new security patches or upgrades. This also removes the necessity of scheduling service interruptions to install patches and updates.

However, keep in mind that no company, not even specialized password management organizations, billion-dollar security firms, or even the National Security Agency (NSA), is immune to security risks. On the other hand, a huge cloud provider is in a significantly better position to defend its digital territory.

Misconception 4: Cybersecurity threats for Small Businesses are limited to External Attackers

While external attackers pose a major threat, inside team members can also create significant security concerns by making various unintentional mistakes. Employee error is responsible for 60% of data breaches. Thus it is critical to educate your personnel about cybersecurity.

Employee cybersecurity training should take place at least once a year. Your annual sessions should contain lectures on how to spot a phishing scam, how to use a password manager to keep track of unique and secure passwords, and how to connect to public Wi-Fi networks via a Virtual Private Network (VPN).

Misconception 5: The Cost of Cybersecurity Solutions Is Too High

A significant majority of small and medium-sized enterprises believe that cybersecurity solutions are simply too expensive to employ. Yet, this belief is to protect your data is misguided. Your company does not need to spend a lot of money on cutting-edge technologies to protect your data.

Any solid cybersecurity strategy should be tailored to your company’s specific needs and include a mix of personnel training, enhanced processes, and new technology. This option can be cost-effective with the appropriate advice and assistance.

Protecting Small Businesses from Cybercrime

Now that you know some of the most pressing cybersecurity myths in circulation, it is time to understand what you can do and take action.

Here are some things you can do to ensure that your small business gets protected against cybersecurity threats and attacks:

  • Assess the data you generate, acquire, store, access, and transfer, and then classify it according to its sensitivity level so you can take necessary security precautions.
  • Educate every employee at every level of the organization on their role in helping to protect all corporate data. Before entrusting someone with managing your social media, website, network, and so on, make sure they understand your usage expectations and cybersecurity best practices.
  • Create and implement cybersecurity policies and procedures, such as limiting administrative and access privileges, enabling multi-factor or 2-factor authentication, training employees to recognize malicious emails, and creating manual backup procedures to keep critical business processes running during a cyber incident. Payment processing may be one of these techniques if a third-party vendor or website is unavailable.
  • Make doubly sure you have detailed agreements in place with all vendors, including how corporate data gets handled, who owns and has access to it, how long data gets kept, and what happens to data once a contract gets canceled. A lawyer should also review any vendor agreements. Furthermore, speak with your insurance representative to see if you already have cybersecurity insurance and what kind of policy will best suit your company's needs.
  • When assessing your threat environment, keep in mind that internal cybersecurity incidents can occur and build ways to mitigate those threats.

Getting to the bottom of small business data security myths can help owners make smarter decisions about safeguarding their data. Knowing the fallacies can help small businesses avoid the most common data security blunders, such as not implementing any data security at all.

Conclusion

While you may develop your cybersecurity strategy in-house, there is no substitute for working with a highly qualified and experienced technology professional who can tailor a plan to your company's needs.

There are far too many cybersecurity misconceptions floating around, making small businesses vulnerable to attacks. Small businesses can defend themselves and their brand now by debunking common security myths and ensuring they have the finest cybersecurity procedures in place to help them weather and thrive through the ever-growing threat of cybercrime.


https://bit.ly/3iW2AX8
https://bit.ly/3v3pssy

https://guptadeepak.com/content/images/2021/10/Top-5-Misconceptions-about-Small-Business-Cybersecurity.jpeg
https://guptadeepak.weebly.com/deepak-gupta/top-5-misconceptions-about-small-business-cybersecurity

Wednesday 6 October 2021

Are You Doing Enough to Address IoT Security Vulnerabilities

Are You Doing Enough to Address IoT Security Vulnerabilities

Concerns regarding cloud security are not new but the growing influence of the Internet of Things (IoT) surely is playing a huge role in enhancing the attack surface of businesses compared to traditional IT deployment thus imposing huge risks.

2021 witnessed the launching of one of the biggest DDoS attacks launched by Mris Botnet. The breach contained 200,000 malicious endpoints and as per reports, the attack strength was measured as of 21.8 M requests per second. The incident brought down many popular websites. What makes this attack even more special is that this was the second major attack after the 2016 Mirai botnet around IoT devices. Around 100,000 compromised smart routers, cameras, and other devices here enslaved into one single boned, highly focused on a single target.

Well, IoT botnets are not the only type of threat we are expecting. Simplicity and ease of use are the two crucial elements of the IoT industry and many times some IoT products simply avoid giving security too much priority thinking customers might find it too bulky. Some of the bad practices that are giving rise to the IoT security concerns are:

  • Poor authentication policies
  • Unencrypted communication
  • Insecure user interface
  • Poor privacy policies

Together with huge opportunities, the complexity of IoT implementation also imposes a huge risk for organizations. The main thing about IoT is that it changes the traditional data and cloud security measurements into ways that need to be addressed before the implementation part.

Below are some of the major security concerns with the adoption of IoT:

1. Public Safety

Since IoT is based on real-life devices, it has the capability to cause real-world damage to life and limb. Guess what can happen in case of failure of a telematics system that directs your autonomous vehicle or the electric grid or firmware operating life-sustaining medical devices.

2. Business disruption

Unlike previous times when a balky software update would mean a headache for in-house users, with IoT grounding an entire fleet of cars or trucks is also not a big deal. Even a small failure at cloud provider hosting IoT service can cause regional and sometimes global disruptions too.

3. Product liability

Now when you talk about traditional IT technologies, product liability law is quite clear but when you talk about IoT-based software and cloud-based providers, they are more likely to get failures that can lead to liability or other legal claims involving connected products.

5 Ways to address IoT security vulnerabilities

The process of IoT security is actually an extension of the basic security measurements every brand is taking since the past few years including data encryption, application firewalls, etc.  These techniques hold a great place in providing important security protection for overall security. However, if you are implementing IoT, you need a better plan when you are dealing with the IoT that includes new endpoints, data feeds, applications, and the cloud-based services that lie in an IoT ecosystem. Here I am going to share some effective ways to minimize IoT security risks.

Best practice #1. Secure cloud infrastructure

When you talk about a cloud infrastructure that deals with IoT, you need higher security at various security layers. These security measurements must contain a three-pronged approach that is highly focused on three factors i.e. integrity, confidentiality, and availability. Moreover, the communication between cloud management servers, endpoints, and IoT hubs must be encrypted in order to avoid snooping while also sanitizing the back-end databases and IoT application server inputs to prevent application-based attacks.

Additionally, access to the IoT application data and servers must be secured with the “least privilege” policies to limit the access to the sensitive data only to the right people. Adopting an adaptive two-factor authentication solution can also make a huge difference here. It will prevent unauthorized access by stepping up security measurements if the request is coming from a malicious resource, IP or location. Lastly, the physical access to data centers must be strictly controlled keeping international standards in mind.

Best practice #2. Design for security

A well-analyzed security planning is the basis of the IoT design and development process to ensure they connect and communicate securely while also preventing unauthorized attempts that are risked to compromise their identity. Adding secure design principles in the early stage of the design and development of IoT devices makes sure your product doesn’t become an easy target for cybercriminals.

Additionally performing static and dynamic testing before making a product go-live can help you better identify security vulnerabilities like cross-site scripting, SQL injection, etc. When kept as a software manifest, IoT producers can easily identify and measure the impact of any security vulnerabilities while also taking necessary measurements to update shared and open-source libraries.

Best practice #3. Secure IoT devices

Do you know IoT endpoints that are deployed in the field can’t get benefitted from the physical security protections that are offered to most IoT assets making it a very easy target to discover security weak points? Businesses that are planning to add new IoT products must take necessary measurements to secure their IoT devices from smart hackers. Below are some best practices to do that:

  • Enforce strong authentication for local users as well as admins
  • Enforms strong encryption for data at rest, device authentication, etc
  • Avoid backdoor entries for admin accounts

Best practice #4. Secure IoT device connections

Businesses must ensure to secure IoT device, applications, and back-end services communication using SSL/TLS encryption. Moreover, IoT applications and management interfaces should be designed in such a way that they can raise the bar for users and admins to make trivial data compromise impossible while also fighting with attacks like brute force. Lastly, logging changes and activities on endpoints must be analyzed thoroughly to clearly identify any weak points.

Best practice #5. Secure IoT services and applications

Improperly designed cloud services and IoT applications are highly vulnerable to data breaches both from internal as well as external users. Hacks like cross-site scripting or SQL injection can be easily used to gain privileged access to management interfaces and perform denial-of-service attacks. Insecure Web UI can also be used to gain account credentials. Therefore leaving IoT services and applications without any proper security measures can cause serious threats to your IoT products.

Finally, IoT has undoubtedly brought us thousands of opportunities, but without proper security measurements, it will ruin your business and its reputation. It’s high time, we should ask this question: Are we doing enough to address IoT security vulnerabilities?


https://bit.ly/3uL913S
https://bit.ly/3BpBu20

https://guptadeepak.com/content/images/2021/10/Are-You-Doing-Enough-to-Address-IoT-Security-Vulnerabilities---GuptaDeepak.com.jpeg
https://guptadeepak.weebly.com/deepak-gupta/are-you-doing-enough-to-address-iot-security-vulnerabilities

Monday 4 October 2021

How AI will Transform Software Development - Part 1 [Impact of AI on software development]

How AI will Transform Software Development - Part 1 [Impact of AI on software development]

While artificial intelligence (AI) is already effectively assisting human developers at every level of the development process, software development will only get better as it is about to undergo a huge change.

Artificial intelligence is revolutionizing the way developers work, resulting in significant productivity, quality and speed increases. Everything — from project planning and estimation to quality testing and the user experience — can benefit from AI algorithms.

The impact of AI on software development

AI will undoubtedly impact how developers create applications and how users interact with them in the modern environment. As organizations become more interested in AI technologies, artificial intelligence will certainly affect the future of software development.

Moreover, it is predicted that roughly 80% of businesses are investing in AI, with 47% of digitally advanced companies already defining AI strategies. Even more amazingly, AI tools should provide $2.9 trillion in corporate value in the foreseeable future.

To implement an AI strategy, companies must first comprehend the function of AI in software development by examining what may be changed.

AI: Reshaping the roles of software developers

The software developer's role is already changing, and it may look very different in ten years than it does now. However, it is important to remember that technology will not be able to replace developers anytime soon. The world is still a few years away from AI being able to write code on its own.

Instead, software developers are more likely to execute different activities and establish skills to work effectively with AI on the job. As a result, developers will be needed even more in the future, implying that AI and software development will certainly rise in tandem.

AI: Solving common software development challenges

As established, AI has already been supporting and helping software developers address different software development challenges by doing the following:

Automated code quality through code review and code optimization

Artificial intelligence will become a tool that software developers use to obtain new knowledge, optimize procedures, and, ultimately, produce better code rather than replacing them.

One of the major developments in AI software development is AI-enabled coding apps that incorporate "autocomplete" into the software development process to boost speed and accuracy during the coding process.

Another solution includes an AI-driven mentorship feature that enables new developers to build apps in real-time.

In the end, these technologies will democratize development, allowing developers to devote more time to problem-solving, design and other creative ideas that will maximize the value they can give to the company.

Automated DevOps

Machine learning AI technologies had some effects on software deployment, especially in the software development paradigm where developers frequently upgrade programs or apps to newer versions, such as increased efficiency in deployment control tasks.

There will be a huge danger in executing the software if developers fail to complete a process correctly during an upgrade.

AI can protect developers from such issues during upgrades and lessen the likelihood of deployment failure. Another benefit of artificial intelligence is that it allows machine learning algorithms to examine the deployment process.

Specifically, machine learning algorithms will enable the software to learn how specific users behave. This learned behavior helps it respond to different actions by serving variable content and automatically adjusting font size, buttons, and on-page elements. Such response results in a dynamic software experience that pulls in real-time user interaction data and utilizes it to propel improvements as developers make code changes.

This improved functionality, combined with ongoing user feedback, can reduce friction points in crucial areas, such as abandoned cart rates, conversion rates, and the design of more accessible software.

Automated security: Code security, vulnerability assessment, static and dynamic security review, open-source code security

Software security is a critical feature that must get considered throughout development. In this regard, data gets collected by the system from network sensors and software installed on the customer's end.

Companies can use AI to study data and use machine learning to discern anomalous behavior from typical behavior. Additionally, software development companies that incorporate AI into their development process can avoid delayed warnings, erroneous notifications and alarms.

Ultimately, coding advances and improves when developers use AI tools. Developers and testers do not have to waste time reviewing executable files riddled with faults and mistakes. It is much easier for them to detect and fix flaws quickly.

Automated test cases for quality assessment

The function of AI in software testing is becoming increasingly important in the quality assurance procedure. Quality assurance testing has always been a time-consuming, manual process with a wide margin of error.

One of the most significant advantages of artificial intelligence is that it allows for quick, accurate testing, which improves the process where bugs get found and addressed before a product is published, shortening the development cycle and guaranteeing a higher-quality end product.

Software design

To propose a definite solution, project planning and design require specialized knowledge and experience. Designers face a difficult problem in deciding on the best plan for each step.

AI technologies get used to automate some difficult tasks. Designers can, for example, employ an AI design assistant to understand the client's wants and preferences and then use that information to design a suitable project.

We'll talk about benefits of AI (Artificial Intelligence) in Software Development in Part-2.


Originally Published at Entrepreneur

How AI Will Transform Software Development
As AI is already helping human developers at every stage of the development process, software development will only improve with AI.
How AI will Transform Software Development - Part 1 [Impact of AI on software development]

https://bit.ly/3iwDbDe
https://bit.ly/2ZQkLqp

https://guptadeepak.com/content/images/2021/10/How-AI-will-Transform-Software-Development---Part-1--Impact-of-AI-on-software-development-.jpeg
https://guptadeepak.weebly.com/deepak-gupta/how-ai-will-transform-software-development-part-1-impact-of-ai-on-software-development

Friday 1 October 2021

Poly Hack: Network Offers' White Hat' A $500K Bug Bounty For Highlighting Security Loophole

Poly Hack: Network Offers' White Hat' A $500K Bug Bounty For Highlighting Security Loophole

In a surprising development around the Poly network hack, the officials offered the hacker to keep as much as $500K in reward after returning most of the stolen $611 million. This amount of reward in the tech world is mostly considered a bug bounty, meaning that big companies pay the individuals for highlighting security vulnerabilities.

While referring to the hacker, the network described the hacker as a 'White Hat,' confirming his status as an ethical hacker. The statement further thanked the hacker, saying that they helped make the network's security better. However, it did not mention how the reward would be paid to the white hat or whether it has been already collected.

Interestingly, in a series of tweets, the chief founder of Elliptic Tom Robinson said that the self-proclaimed perpetrator of Poly confirmed that the network has offered hackers $500,000 in bounty money and assured him that he would not be held accountable for the hack.

What is the Poly network, and how this unfolded?

Poly Network is one of the most prominent companies when it comes to blockchain services. It creates ledgers on which digital tokens are based to ensure that they can work together. Unfortunately, days ago, the company said in a statement that it fell victim to one of the worst hacks, with hackers stealing nearly $611 million in Shiba Inu, Ether coins, and other currencies.

On Wednesday, a day after the hack was made public, the hacker returned the stolen assets. Besides that, he was ready to surrender and claimed that he did to improve the network's security. On Friday, Poly said in a statement that the white hat had returned as much as $340 million. The only remaining assets were $33 million Tether, which the company behind it froze.

What motivated the hacker to return the assets?

Although it remains unclear what motivated him to return the assets and surrender, many experts have said they did it not to get caught as it is quite challenging to launder such a massive amount. On the other hand, some academics and research suggest that someone could eventually find out about the IP or email.

All in all, the latest hack highlights the loopholes in blockchain technology and its vulnerability to hacks and scams, which have become a normal occurrence over the last few years.


https://bit.ly/3kYUNZV
https://bit.ly/3B1UAux

https://guptadeepak.com/content/images/2021/10/Poly-network-hack---guptadeepak.com.jpeg
https://guptadeepak.weebly.com/deepak-gupta/poly-hack-network-offers-white-hat-a-500k-bug-bounty-for-highlighting-security-loophole

Busting Common Passwordless Authentication Myths: A Technical Analysis

Cyber threats continue to evolve for enterprises and passwordless authentication emerges as a transformative approach to digital security...