To generate a personal access token in GitHub, follow these steps:

Step1: Sign in to GitHub: Go to github.com and sign in to your GitHub account.

Step2: Access Settings: Click on your profile picture in the top-right corner of the page, then click on “Settings” from the dropdown menu.

Step3: Select Developer settings: In the left sidebar, click on “Developer settings”.

Step4: Choose Personal access tokens: In the Developer settings menu, click on “Personal access tokens”.

Step5: Generate a new token: Click on the “Generate new token” button. You may be prompted to enter your password for verification.

Step6: Configure your token: Give your token a descriptive name that will help you remember its purpose. Then, select the desired scopes for the token. Scopes define what actions the token can perform, such as accessing repositories, creating gists, or managing notifications.

Step7: Generate the token: Once you’ve configured the token, click on the “Generate token” button at the bottom of the page.

Step8: Copy your token: GitHub will generate a personal access token for you. Make sure to copy this token immediately as it will not be displayed again.

Step9: Store your token securely: Treat your token like a password and keep it secure. Do not share it publicly or commit it to version control repositories.

That’s it! You’ve successfully generated a personal access token in GitHub. You can now use this token to authenticate your requests when accessing GitHub APIs or performing actions programmatically.

The post How to generate Personal access tokens in github? appeared first on Artificial Intelligence.

To change the WordPress admin panel password in a local XAMPP environment, you can follow these steps:

1. Access phpMyAdmin: Open your web browser and go to http://localhost/phpmyadmin or wherever you’ve installed phpMyAdmin in your XAMPP setup.

2. Login to phpMyAdmin: Use the username and password you’ve set up for your MySQL database in XAMPP.

3. Select your WordPress database: On the left-hand side of phpMyAdmin, you’ll see a list of databases. Click on the one associated with your WordPress installation. The name is usually something like wordpress or wp.

4. Find the wp_users table: WordPress stores user information in a table named something like wp_users. Click on it to open it.

5. Locate your admin user: In the wp_users table, you’ll see a list of users. Look for the row where the user_login column has the value of your WordPress admin username (usually “admin” by default).

6. Change the password: In the row corresponding to your admin user, find the user_pass column. Click on the pencil icon or “Edit” button to edit the password. You’ll need to enter the new password in a specific format.

7. Generate a new password hash: WordPress stores passwords in a hashed format for security. You can’t just enter the password directly into the user_pass field. You need to generate a hash of the password using MD5 or another encryption method. You can use an online MD5 hash generator or a command-line tool to generate the hash. For example, if you want to set the password to “newpassword”, you can use an MD5 hash generator to generate the hash of “newpassword”, and then paste the hash into the user_pass field.

7. Save the changes: After pasting the hashed password into the user_pass field, save your changes by clicking the “Go” button or the equivalent in phpMyAdmin.

8. Test the new password: Now you can go to your WordPress login page (usually http://localhost/wordpress/wp-admin/) and try logging in with the new password.

By following these steps, you should be able to change the WordPress admin panel password in your local XAMPP environment. Make sure to keep your password secure and avoid using weak passwords for better security.

The post Step-by-Step Guide: Changing Your WordPress Admin Password in XAMPP Local Development Environment appeared first on Artificial Intelligence.

What is CloudOps?

CloudOps, short for Cloud Operations, is a set of practices, processes, and tools used to manage and optimize cloud infrastructure and services. It focuses on ensuring the reliability, security, and efficiency of cloud-based applications and resources. CloudOps encompasses various activities related to the deployment, monitoring, scaling, and maintenance of cloud environments.

Why is CloudOps important?

CloudOps is important because:

1. Reliability and Resilience: CloudOps ensures that cloud services are highly available, scalable, and resilient against failures. This enables businesses to deliver uninterrupted services to their users, minimizing downtime and service disruptions.

2. Cost Optimization: With CloudOps, organizations can optimize their cloud infrastructure to reduce costs. It ensures right-sizing of resources, efficient resource allocation, and optimization of usage, resulting in cost savings.

3. Performance and Scalability: CloudOps helps in monitoring and optimizing cloud infrastructure performance. It enables scaling resources up or down based on demand, ensuring optimal performance during peak loads and effectively utilizing resources during low demand.

4. Security and Compliance: CloudOps includes the implementation and management of security measures to protect cloud resources and data. It helps in maintaining data integrity, ensuring compliance with industry regulations, and managing access controls and security protocols.

5. Automation and Efficiency: CloudOps automates the provisioning, deployment, and management of resources and applications in the cloud, reducing manual efforts and improving efficiency. It enables faster development, testing, and deployment cycles, leading to quicker time to market for businesses.

6. Monitoring and Troubleshooting: CloudOps involves continuous monitoring of cloud infrastructure, services, and applications to identify issues and troubleshoot them promptly. It helps in proactive problem resolution, enhancing the overall performance and reliability of cloud environments.

The Benefits of CloudOps

Here are some of the key benefits of CloudOps:

• Agility: CloudOps teams can quickly and easily provision and configure cloud resources, which makes it easier for organizations to scale their operations up or down as needed.
• Efficiency: CloudOps teams can use automation to streamline many of the tasks involved in managing a cloud environment. This frees up their time to focus on more strategic initiatives.
• Cost savings: CloudOps teams can help organizations to save money by optimizing their cloud resource usage and identifying and eliminating unnecessary costs.
• Reliability: CloudOps teams can use a variety of tools and technologies to monitor and optimize the performance of their cloud applications. This helps to ensure that applications are always up and running, and that they are meeting their performance targets.
• Security: CloudOps teams can implement and manage security controls to protect their cloud environment from cyberattacks. They can also help organizations to comply with industry regulations.

The post What is CloudOps and Why is CloudOps important? appeared first on Artificial Intelligence.

In addition to server-side scripting, other crucial topics in PHP for building websites include:

1. HTML and CSS:

HTML and CSS are the fundamental building blocks of web development. PHP is often used in conjunction with HTML and CSS to build dynamic web pages.

2. Database connectivity:

PHP provides built-in support for connecting to several popular databases such as MySQL, PostgreSQL, and SQLite. Understanding how to establish a connection, perform CRUD (create, read, update, delete) operations, and handle errors and exceptions related to database connectivity is crucial for building scalable and efficient web applications.

3. Session management:

Sessions allow you to store user-specific data across multiple pages of a web application. PHP provides built-in support for managing sessions, which can help create a more personalized user experience.

4. Content management systems (CMS):

Content management systems such as WordPress and Drupal are built using PHP. Understanding how to use and customize these systems can help you build websites quickly and efficiently.

5. Security:

Security is an essential aspect of web development. PHP provides several built-in functions and tools for handling user input, validating input, and preventing SQL injection attacks.

Overall, while server-side scripting is a crucial topic in PHP for building websites, mastering other essential topics such as HTML and CSS, database connectivity, forms and user input, content management systems, and security can help you become a proficient PHP developer and build robust and secure web applications.

The post What is the most crucial topic in PHP for creating and building a website? appeared first on Artificial Intelligence.

The Wizbrand platform is a cutting-edge cultural platform designed to help you manage and monitor the growth of your business. With its advanced features and intuitive interface, Wizbrand provides a comprehensive solution for entrepreneurs and business owners alike. Whether you’re looking to streamline your operations, track your sales, or stay up-to-date on the latest industry trends, Wizbrand has you covered. So why wait? Sign up today and take your business to the next level with Wizbrand.

The Wizbrand Platform is a revolutionary, fully eco-friendly platform that offers a comprehensive suite of tools to help you run your projects with ease. With Wizbrand, you get access to a wealth of information about your company’s activities, allowing you to store your data, records, and more in one convenient location.

But that’s not all. The Wizbrand Platform is a one-stop-shop for all your business needs, providing you with the tools you need to track projects, assets, tasks, resources, and their progress. With a centralized workspace, you can stay organized and manage your organization’s work with ease.

Whether you’re looking to engage in social activities, career activities, future activities, or project-related activities, the Wizbrand Platform has got you covered. It’s the perfect solution for businesses looking to streamline their operations and achieve better results.

At Wizbrand, we understand that your organization’s success is our success. That’s why we work tirelessly to provide you with the best facilities to maintain your inventory, assets, activities, strategies, and ideas for your business developments. With Wizbrand, you can rest assured that you have a reliable partner to help you achieve your goals.

So, if you’re looking for a platform to run your business activities, a better understanding platform to run your projects, or a better platform for better achievements and to get new customers, look no further than Wizbrand. Visit our website at www.wizbrand.com and register your organization name today. We welcome you to run your business with us anytime.

What are the Top 10 Features of Wizbrand?

Wizbrand is an exceptional project management tool that provides unparalleled satisfaction through its efficient functionality. With its diverse range of features, this tool enables you to seamlessly manage your organization’s projects in a systematic manner. Whether you’re a small business owner or a large corporation, Wizbrand has got you covered. Its user-friendly interface and intuitive design make it easy to navigate and utilize, ensuring that you can focus on what really matters – achieving your goals. Say goodbye to the hassle of managing multiple projects and hello to the ease and convenience of Wizbrand.

• Top 10 Features of Wizbrand

1. Security:

The Wizbrand will be delivering you the best security protection for all your digital assets because many companies have many digital assets for projects so you can store all your digital assets in the Wizbrand tool because there is an SEO Assets function and after using this function you can protect your all the digital assets from the hackers.

2. Choose your managers :

You can easily choose your managers for your projects and managers can’t able to delete any project They can only do the editing for any kind of mistake in the projects, without admin access only the admin can delete all projects and change their managership according to the work.

3. Organization:

You can create multiple organizations in Wizbrand and Wizbrand can help you for running your organization in a systematic manner with good guidance.

4. Projects:

You can add your multiple projects with their URLs & you can also add the keywords for the traffics and set your managers for running your projects.

5. Team Rating :

You can check your team’s performance on the Wizbrand site and you can write a rating for your teams according to their work.

6. Reminder:

On the Wizbrand site a beautiful facility has been enabled for the projects, If your project is very important and you want to finish this project As soon as possible so you can set a reminder email according to your frequency due to this your manager and employees can work very fast.

7. Website Ranking:

In this option, you can check you’re all the rankings for your websites and set a target for increasing the ranking for your website and give this task to your managers after that, your manager can do this work with their employees and he can meet the target whatever you have assigned to your manager.

8. Emails & Phone numbers:

To ensure the security of your company’s sensitive information, it is imperative to store emails and phone numbers with a robust password. By doing so, unauthorized individuals will be unable to access your private communications and contact information. Remember, a strong password is the first line of defense against potential cyber threats. Protect your business by implementing this simple yet effective security measure.

9. Task Checklist:

You can create a Task checklist for your projects and you can also set a deadline for completing your tasks. In this taskbar option, you can add your projects and send these projects according to your managers through emails,

10. Influencer:

As an influencer with a significant following on your social media platforms, you have the opportunity to register with us and set your own price for your services. By doing so, potential clients can easily view your pricing based on your social media presence and reach out to you via email or phone to request marketing assistance on your platforms. Don’t miss out on this chance to monetize your influence and expand your brand!

The post Top 10 Feature of Wizbrand.com? appeared first on Artificial Intelligence.

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Artificial intelligence (AI) in cybersecurity was a popular topic at RSA’s virtual conference this year, with good reason. Many tools rely on AI, using it for incident response, detecting spam and phishing and threat hunting. However, while AI security gets the session titles, digging deeper, it is clear that machine learning (ML) is really what makes it work. The reason is simple. ML allows for “high-value predictions that can guide better decisions and smart actions in real-time without humans stepping in.”

Yet, for all ML can do to improve intelligence and help AI security do more, ML has its flaws. ML, and by default AI, is only as smart as people teach it to be. If the AI isn’t learning the right algorithms, it could end up making your defenses weaker. Also, threat actors have the same access to AI and ML tools as defenders do. We are starting to see how attackers use ML to launch attacks, as well as how it can serve as an attack vector. Take a look at the benefits and dangers the experts discussed at RSA.

What Machine Learning Cybersecurity Gets Right

When provided the right data set, ML is good at seeing the big picture of the digital landscape you’re trying to defend. That’s according to Jess Garcia, technical lead with One eSecurity, who presented the RSA session ‘Me, My Adversary & AI: Investigating and Hunting with Machine Learning.’

Among the areas ML is most useful for security purposes are prediction, noise filtering and anomaly detection. “A malicious event tends to be an anomaly,” Garcia says. Defenders can use ML designed to detect anomalies for threat detection and threat hunting.

The size of the dataset matters when programming ML for AI security. As Younghoo Lee, Senior Data Scientist with Sophos, pointed out in the session ‘AI vs AI: Creating Novel Spam and Catching it with Text Generating AI,’ more training data gives better results and pre-trained language models matter for downstream tasks. Lee’s panel focused on spam creation and protections, but the advice applies across ML systems used for cybersecurity.

When Attackers Use ML or AI Security

In the session ‘Evasion, Poisoning, Extraction, and Inference: The Tools to Defend and Evaluate,’ presenters Beat Buesser, research staff member with IBM Research, and Abigail Goldsteen, research staff member with IBM, shared four different adversarial threats against ML. Attackers can use:

• Evasion: Modify an input to influence a model
• Poisoning: Add a backdoor to training data
• Extraction: Steal a proprietary model
• Inference: Learn about private data

“We’re seeing an increasing number of these real-world threats,” says Buesser. Threat actors use techniques that distort what the ML knows, some of which have life or death fallout for the AI security. One example is attackers who put stickers on a highway, forcing a self-driving vehicle to swerve into oncoming traffic. Another example shows how attackers can modify at-risk ML systems to allow them to bypass security filtering systems to let more phishing emails get through.

Balancing the Pros and Cons

ML systems designed to augment AI security have become a benefit to security teams. More automation means less burnout and more accurate threat detection and repair. However, because threat actors see ML as an attack vector, the team should also know where ML and AI exist within the company or agency beyond their systems. Once familiar with the ML and AI functions, they can learn where potential problems may linger and see how those can become springboards for an attack.

ML and AI security have the potential to change detection and prevention models for the better. You also still need the human touch to ensure ML isn’t causing security problems instead of solving them.

The post Experts Weigh In: Pros and Cons of Machine Learning for AI Security appeared first on Artificial Intelligence.

One of the initial hesitations in many enterprise organizations moving into the cloud in the last decade was the question of security. Significant amounts of money had been put into corporate firewalls, and now technology companies were suggesting corporate data reside outside that security barrier. Early questions were addressed, and information began to move into the cloud. However, nothing stands still, and the extra volume of data and networking intersects with the increased complexity of attacks, and artificial intelligence (AI) is being used to keep things safe.

The initial hesitation for enterprise organizations to move to the cloud was met by data centers improving hardware and networking security, while the cloud software providers, both cloud hosts and application providers, increased software security past what was initially offered in the cloud. Much of that was taking knowledge from on-premises security and scaling it to the larger systems in the cloud. However, there’s also more flexibility for attacks in the cloud, so new techniques had to be added. In addition, most organizations are in a hybrid ecosystem, so the on-premises and cloud security must coordinate.

This means an opportunity for AI to provide enhanced security. As mentioned with other machine solutions, security is a mix different AI and non-AI techniques to fit the problem. For instance, there’s deep learning. Supervised learning can be used for known attacks, while unsupervised learning can be used to detect anomalous events in a sparse dataset. Reinforcement learning classification can even be done with statistical analysis in time series, and not always require AI. That can provide faster performance in appropriate cases.

On a quick tangent, let’s talk about supervised learning and reinforcement learning. Some folks present them as different; I think of the latter as an extension of the former. “Classic” supervised learning is when input is labeled and the labels are important for the AI system, as they are used to understand and organize the data. When there are errors, humans add more annotations and labels to existing data, or they add more data. In reinforcement learning, feedback for the neural network is given as to how far the results of an iteration are from a set goal. That feedback can be put back into the system by programmers changing weights or, in more advanced systems, by the AI software doing the comparison and adapting on its own. That is a type of supervision, but I’ll admit it’s a philosophical argument.

Back on track, let’s add another complexity. In the early days of the cloud, applications were larger but still followed a similar pattern of scale-up and scale-out. Now there’s something changing both environments: containers. Simply put, a container is a piece of software that wraps around an application, it has basic services and even a virtual operating system. That allows containers to run on multiple operating systems regardless of internal application code. It also allows cloud platforms and servers to more finely control services to their clients in order to meet service level agreements (SLA’s) that provide quality performance to the end customer.

“As more applications migrate to a container architecture, it’s important for security to keep up,” said Tanuj Gulati, CTO, Securonix. “Light weight collectors can run within application containers, such as with Docker, collecting and sending relevant event logs to the more robust security monitoring applications running separately. This provides strong security in the new environments without significant burden being added to application performance.”

 In my discussion with Tanuj Gulati, he explained that they first worked in the virtual machine (VM) environment in local data centers. That provided both an understand that helped extend security to Docker, but also in integrating security between on-premises and cloud systems in a hybrid environment.

Detection V Response

Artificial intelligence is focused on detection, but a complete system must also address the response to a perceived threat. The basic system can detect attacks, and based on known problems rules can then determine responses. Unknown problems have unknown responses. Humans must be flagged to handle those questionable transactions, then feedback can be given to reinforce the system. Depending on how complex a system is created, those new rules can be incorporated into the neural network or added to a rules set.

The state of the industry, both in technology and human comfort levels, shows that there will continue to be human oversight before responses to new attacks as the predominant method in the next few years. Advances will push the security industry into more system action and then reporting, review, and adjustment by humans, but that will happen slowly. What will help is that better explainability will be required, as the deep learning “black box” will have to become more transparent.

Cloud computing and artificial intelligence are growing in parallel. The complexity of the cloud is driving the need for AI, but the complexity of AI is also creating the need for it to work better in the cloud environment with efficiency, transparency and control.

The post Security In The Cloud Is Enhanced By Artificial Intelligence appeared first on Artificial Intelligence.

Over the last years, AI applications have come to play a role in many security‐related fields. CSS Director Andreas Wenger and Sophie-​Charlotte Fischer show in this article that scholars who want to study AI’s link to power and security should widen their perspective to include conceptual approaches from science and technology studies (STS).

In this article, the authors introduce two STS‐inspired concepts and show how the study of AI and security could benefit from them. Finally, they focus on AI in the context of Switzerland to underscore what aspects the two previously introduced concepts help to highlight, which might remain invisible for traditional approaches.

The post Artificial Intelligence, Forward‐Looking Governance and the Future of Security appeared first on Artificial Intelligence.

MarketInsightsReports has published a report titled global Artificial Intelligence (AI) In Cyber Security Market research report 2021 that is a detailed observation of several aspects, including the rate of growth, technological advances, and different methodologies implemented by the primary current market players. The report is based on a collective analysis of data, which is obtained through primary and secondary research. It provides a systematic approach to the current and prospective scenario of this market.

The global Artificial Intelligence (AI) In Cyber Security Market will register a 27.3% CAGR in terms of revenue, and the market size will reach USD 23.10 billion by 2025.

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Top Companies in the global Artificial Intelligence (AI) In Cyber Security Market are
BAE Systems, Cisco, Fortinet, FireEye, Check Point, IBM, RSA Security, Symantec, Juniper Network, Palo Alto Networks, and Other.

By Type Outlook-
Machine Learning
Natural Language Processing
Other
Machine learning is taking the most market percentage, with over 69% market share.

By Application Outlook-
BFSI
Government
IT & Telecom
Healthcare
Aerospace and Defense
Other
BFSI, government and IT & telecom segments occupied the largest market share, while healthcare, aerospace and defense and other industries are expected to grow at a steady speed in future.

The report also takes into account the impact of the novel COVID-19 pandemic on the Artificial Intelligence (AI) In Cyber Security market and offers a clear assessment of the projected market fluctuations during the forecast period.

Browse full Artificial Intelligence (AI) In Cyber Security Market report description with TOC:
https://www.marketinsightsreports.com/reports/02012581307/global-artificial-intelligence-ai-in-cyber-security-market-growth-status-and-outlook-2021-2026?mode=vks&source=KSU

Regional Analysis:

North America (The United States, Canada, and Mexico),

Asia-Pacific (China, India, Japan, South Korea, Australia, Indonesia, Malaysia, and Others),

Europe (Germany, France, UK, Italy, Russia, and Rest of Europe),

Central & South America (Brazil, and Rest of South America)

Middle East & Africa (GCC Countries, Turkey, Egypt, South Africa and Other)

Key Factors of the Artificial Intelligence (AI) In Cyber Security market report are
– A comprehensive evaluation of all opportunities and risks in the market.
– Artificial Intelligence (AI) In Cyber Security market current developments and significant occasions.
– A deep study of business techniques for the development of the market-driving players.
– Conclusive study about the improvement plot of the market for approaching years.
– Top to the bottom approach of market-express drivers, targets, and major littler scale markets.
– Favorable impressions inside imperative mechanical and publicize the latest examples striking the Artificial Intelligence (AI) In Cyber Security market.

Customization of the report
This report can be further customized according to the client’s specific requirements. No additional charges will be added for limited additional research.

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