#security api

[bdccglobal]

Seamless Integration: Dive into the Power of Azure's API Management Toolset.

Elevate your connectivity, security, and efficiency in one robust solution.

[infydeva]

try public preview - microsoft identity Conditional access filters for apps

try public preview – microsoft identity Conditional access filters for apps

As part of Zero trust posture, protecting all apps is key. At present, policies explicitly list apps. Today Microsoft announced the public preview of filters for apps. This provides a new way to manage Conditional Access (CA) assignment for apps and workload identities at scale. With filters for apps, admins can tag applications with custom security attributes and apply Conditional Access…

[sinchwhatsapp]

Expand potential customer reach to integrate WhatsApp API ins your device

Calling everyone embarrasses them, and one should go ahead with easy-to-transform personal and professional messages. If you want to say something to an unfamiliar person, send "hi" to them. After responding yes, you can move forward with the message. Nowadays, WhatsApp applications are in trend for personal and professional messaging. To continue the business message conversation, use WhatsApp API to simplify sharing.

Do not keep the wrong mindset to keep your message insecure and unsafe because WhatsApp API adheres to End-to-End encryption. If you reach the maximum number of customers, then switch from normal SMS and WhatsApp to integrate WhatsApp API into your device.

Key aspects for the WhatsApp API integration: The message quality of WhatsApp is far better than other messaging platforms as you can send messages in audio, video, and photo files.  You can make video and voice calls to recipients for clear message transformation. Without a recipient, you can drop a voice message to inform them without disturbing them anymore. However, the third party cannot transform this message into an encryption code according to safety considerations. That's why WhatsApp is one of the secure messaging platforms that allows you to send information to your desired party.

Why do you go with the WhatsApp business API? First, you must know the key difference between WhatsApp API and WhatsApp business. As we dive into in-depth details, WhatsApp business suits perfect for individuals and small businesses. In this way, users can create WhatsApp business accounts to connect with customers and drive sales. But WhatsApp business is not a valuable option to engage with a global audience. Let us talk about the downside of the WhatsApp business.

The broadcast information is available to the contact list of specified customers.

There is no way to track the analytics of WhatsApp business.

You cannot integrate the chatbot to automate customer support. As a result, you are unlikely to engage customers.

The broadcast limit applies to only 256 customers.

If you're serious about engaging your customers, integrating your mobile with API is the way to go.  The API will automatically install a chatbot, ensuring quick responses to every query. No more waiting for instant responses API; you can send WhatsApp business messages to both prospective and regular customers.  This integration is not just necessary; it's an exciting opportunity to revolutionize customer engagement. Contact a professional at Sinch to integrate this API and start reaching your customers in no time.

[mikekelvin]

Discover the best practices for network security in Android development. Learn how to protect your app from cyber threats with HTTPS, secure API calls, encryption, and more essential strategies.

[pebblegalaxy]

Zoho Product Vulnerabilities: Exploring Legacy Issues and New Security Threats in 2023-2024 @zoho #ZohoOne #ManageEngine #ZohoCRM #ZohoBooks

Legacy Vulnerabilities in Zoho Products and New Discoveries in 2023-2024: A Comprehensive Analysis Introduction Zoho Corporation is one of the most well-established software development companies, offering a wide range of products that include customer relationship management (CRM), office suite applications, and cloud-based business tools. Over the years, Zoho has gained a massive following,…

[jarrodcummerata]

Top Api Testing Services

Ensure your APIs are flawless with our top-tier API testing services. We provide comprehensive testing solutions to identify and fix issues early in the development process, ensuring optimal performance, reliability, and security. Our expert team utilizes advanced tools and methodologies to deliver the highest quality API testing results.

[rajaniesh]

Mastering Azure Container Apps: From Configuration to Deployment

Thank you for following our Azure Container Apps series! We hope you're gaining valuable insights to scale and secure your applications. Stay tuned for more tips, and feel free to share your thoughts or questions. Together, let's unlock the Azure's Power.

[myotp-app]

Why Web Security Matters: Why 2FA SMS OTP API Is Vital for Protection

In today’s digital world, web security has become more critical than ever as cyber threats or attacks are increasing day by day. Safeguarding sensitive information is a top priority for businesses and individuals alike. One of the most effective ways to enhance online security is by implementing 2FA (Two-Factor Authentication), particularly through SMS OTP API. Integrating SMS OTP API into your web and mobile applications is essential for your web and mobile app protection.

Why Web Security Important and How It Is Compromise

Robust Web security is the foundation of any online platform, protecting user data, financial transactions, and personal information from unauthorized access. However, there are many reasons for web security breaches. Read the mention below:

1. Weak Passwords: Many users rely on simple, easily guessable passwords, making it easier for hackers to gain unauthorized access to accounts. Don't give a chance to hackers; always use strong passwords and change them on an after-some day.

2. Phishing Attacks: Cyberattackers frequently use phishing emails or websites to trick users into revealing their passwords and other sensitive information. Be aware of fraud Emails and messages.

3. Outdated Software: Using outdated or unpatched software can expose vulnerabilities that hackers can exploit to breach web security.

4. Insufficient Security Measures: Relying solely on passwords without additional layers of security leaves systems vulnerable to attacks.

5. Human Error: Mistakes like sending sensitive information over unsecured networks or clicking on malicious links can also lead to security breaches.

Why 2FA SMS OTP API Is Essential for Online Security

2FA SMS OTP API plays a vital role in strengthening web security by addressing these common vulnerabilities. Here’s how it works:

1. User Authentication: After entering a password, users receive a one-time password (OTP) via SMS, which they must enter to complete the login process. This ensures that even if a password is compromised, unauthorized access is prevented without the OTP.

2. 2FA Authentication: Implementing 2FA Authentication through SMS OTP for web and mobile applications significantly reduces the risk of unauthorized access. It adds an extra layer of security, requiring both something the user knows (password) and something they have (OTP).

3. Ease of Use: SMS OTP services are user-friendly and do not require additional hardware or software. Users receive the OTP directly on their mobile devices, making it a convenient and efficient way to secure online transactions and logins.

4. Versatility: Whether securing a web or mobile app, MyOTP.APP offers a flexible solution that integrates seamlessly into existing systems. This makes it a versatile choice for businesses of all sizes. Check out the SMS OTP Service plan today!

Protecting Your Users and Business

Adopting 2FA SMS OTP API for your businesses can protect your users from potential threats and enhance the overall security of their platforms. This not only builds trust with customers but also helps comply with regulatory requirements for data protection.

Protecting Your Users and Business

Adopting 2FA SMS OTP API for your businesses can protect your users from potential threats and enhance the overall security of their platforms. This not only builds trust with customers but also helps comply with regulatory requirements for data protection.

In conclusion, as web security becomes increasingly vital, integrating 2FA with SMS OTP API is crucial in protecting your digital assets. Whether for web or mobile applications, SMS OTP services provide an effective, easy-to-use solution that significantly enhances security, ensuring your users’ data remains safe from unauthorized access. Visit us today and explore our services with ready-to-use code in any language. MyOtp.App is a trustworthy SMS OTP Service provider visit us today.

[vastedge330]

Azure API Management provides robust tools for securing and scaling your APIs, ensuring reliable performance and protection against threats. This blog post covers best practices for implementing Azure API Management, including authentication methods, rate limiting, and monitoring. Explore how Azure’s features can help you manage your API lifecycle effectively, enhance security protocols, and scale your services to handle increasing traffic. Get practical tips for optimizing your API management strategy with Azure.

[robomad]

A Comprehensive Guide to Building Microservices with Node.js

Introduction:The microservices architecture has become a popular approach for developing scalable and maintainable applications. Unlike monolithic architectures, where all components are tightly coupled, microservices allow you to break down an application into smaller, independent services that can be developed, deployed, and scaled independently. Node.js, with its asynchronous, event-driven…

[jcmarchi]

Generative AI adoption: Strategic implications & security concerns - CyberTalk

New Post has been published on https://thedigitalinsider.com/generative-ai-adoption-strategic-implications-security-concerns-cybertalk/

Generative AI adoption: Strategic implications & security concerns - CyberTalk

By Manuel Rodriguez. With more than 15 years of experience in cyber security, Manuel Rodriguez is currently the Security Engineering Manager for the North of Latin America at Check Point Software Technologies, where he leads a team of high-level professionals whose objective is to help organizations and businesses meet cyber security needs. Manuel joined Check Point in 2015 and initially worked as a Security Engineer, covering Central America, where he participated in the development of important projects for multiple clients in the region. He had previously served in leadership roles for various cyber security solution providers in Colombia.

Technology evolves very quickly. We often see innovations that are groundbreaking and have the potential to change the way we live and do business. Although artificial intelligence is not necessarily new, in November of 2022 ChatGPT was released, giving the general public access to a technology we know as Generative Artificial Intelligence (GenAI). It was in a short time from then to the point where people and organizations realized it could help them gain a competitive advantage.

Over the past year, organizational adoption of GenAI has nearly doubled, showing the growing interest in embracing this kind of technology. This surge isn’t a temporary trend; it is a clear indication of the impact GenAI is already having and that it will continue to have in the coming years across various industry sectors.

The surge in adoption

Recent data reveals that 65% of organizations are now regularly using generative AI, with overall AI adoption jumping to 72% this year. This rapid increase shows the growing recognition of GenAI’s potential to drive innovation and efficiency. One analyst firm predicts that by 2026, over 80% of enterprises will be utilizing GenAI APIs or applications, highlighting the importance that businesses are giving to integrating this technology into their strategic frameworks.

Building trust and addressing concerns

Although adoption is increasing very fast in organizations, the percentage of the workforce with access to this kind of technology still relatively low. In a recent survey by Deloitte, it was found that 46% of organizations provide approved Generative AI access to 20% or less of their workforce. When asked for the reason behind this, the main answer was around risk and reward. Aligned with that, 92% of business leaders see moderate to high-risk concerns with GenAI.

As organizations scale their GenAI deployments, concerns increase around data security, quality, and explainability. Addressing these issues is essential to generate confidence among stakeholders and ensure the responsible use of AI technologies.

Data security

The adoption of Generative AI (GenAI) in organizations comes with various data security risks. One of the primary concerns is the unauthorized use of GenAI tools, which can lead to data integrity issues and potential breaches. Shadow GenAI, where employees use unapproved GenAI applications, can lead to data leaks, privacy issues and compliance violations.

Clearly defining the GenAI policy in the organization and having appropriate visibility and control over the shared information through these applications will help organizations mitigate this risk and maintain compliance with security regulations. Additionally, real-time user coaching and training has proven effective in altering user actions and reducing data risks.

Compliance and regulations

Compliance with data privacy regulations is a critical aspect of GenAI adoption. Non-compliance can lead to significant legal and financial repercussions. Organizations must ensure that their GenAI tools and practices adhere to relevant regulations, such as GDPR, HIPPA, CCPA and others.

Visibility, monitoring and reporting are essential for compliance, as they provide the necessary oversight to ensure that GenAI applications are used appropriately. Unauthorized or improper use of GenAI tools can lead to regulatory breaches, making it imperative to have clear policies and governance structures in place. Intellectual property challenges also arise from generating infringing content, which can further complicate compliance efforts.

To address these challenges, organizations should establish a robust framework for GenAI governance. This includes developing a comprehensive AI ethics policy that defines acceptable use cases and categorizes data usage based on organizational roles and functions. Monitoring systems are essential for detecting unauthorized GenAI activities and ensuring compliance with regulations.

Specific regulations for GenAI

Several specific regulations and guidelines have been developed or are in the works to address the unique challenges posed by GenAI. Some of those are more focused on the development of new AI tools while others as the California GenAI Guidelines focused on purchase and use. Examples include:

EU AI Act: This landmark regulation aims to ensure the safe and trustworthy use of AI, including GenAI. It includes provisions for risk assessments, technical documentation standards, and bans on certain high-risk AI applications.

U.S. Executive Order on AI: Issued in October of 2023, this order focuses on the safe, secure, and trustworthy development and use of AI technologies. It mandates that federal agencies implement robust risk management and governance frameworks for AI.

California GenAI Guidelines: The state of California has issued guidelines for the public sector’s procurement and use of GenAI. These guidelines emphasize the importance of training, risk assessment, and compliance with existing data privacy laws.

Department of Energy GenAI Reference Guide: This guide provides best practices for the responsible development and use of GenAI, reflecting the latest federal guidance and executive orders.

Recommendations

To effectively manage the risks associated with GenAI adoption, organizations should consider the following recommendations:

Establish clear policies and training: Develop and enforce clear policies on the approved use of GenAI. Provide comprehensive training sessions on ethical considerations and data protection to ensure that all employees understand the importance of responsible AI usage.

Continuously reassess strategies: Regularly reassess strategies and practices to keep up with technological advancements. This includes updating security measures, conducting comprehensive risk assessments, and evaluating third-party vendors.

Implement advanced GenAI security solutions: Deploy advanced GenAI solutions to ensure data security while maintaining comprehensive visibility into GenAI usage. Traditional DLP solutions based on keywords and patterns are not enough. GenAI solutions should give proper visibility by understanding the context without the need to define complicated data-types. This approach not only protects sensitive information, but also allows for real-time monitoring and control, ensuring that all GenAI activities are transparent and compliant with organizational and regulatory requirements.

Foster a culture of responsible AI usage: Encourage a culture that prioritizes ethical AI practices. Promote cross-department collaboration between IT, legal, and compliance teams to ensure a unified approach to GenAI governance.

Maintain transparency and compliance: Ensure transparency in AI processes and maintain compliance with data privacy regulations. This involves continuous monitoring and reporting, as well as developing incident response plans that account for AI-specific challenges.

By following these recommendations, organizations can make good use and take advantage of the benefits of GenAI while effectively managing the associated data security and compliance risks.

[step2gen]

In today's digital landscape, where applications and services are interconnected more than ever, the security of Application Programming Interfaces (APIs) is of paramount importance. API security ensures that the communication between different software components remains secure and protected from unauthorized access, data breaches, and other malicious activities. Let's uncover the layers of API security, unravel its significance, and explore how it stands distinct from general application security.

[smsgatewayindia]

Voice Call Software - SMPPCenter.com | OBD Voice Call Solutions

Discover SMPPCenter.com's advanced OBD voice call software. Rent or buy licensed software to send OTP voice calls, connect with HTTP vendors, use Text to Speech, and more. Engage globally with high throughput, secure platform, and comprehensive management tools.

[intelliatech]

Top 10 ChatGPT Prompts For Software Developers

ChatGPT can do a lot more than just code creation and this blog post is going to be all about that. We have curated a list of ChatGPT prompts that will help software developers with their everyday tasks. ChatGPT can respond to questions and can compose codes making it a very helpful tool for software engineers.

While this AI tool can help developers with the entire SDLC (Software Development Lifecycle), it is important to understand how to use the prompts effectively for different needs.

Prompt engineering gives users accurate results. Since ChatGPT accepts prompts, we receive more precise answers. But a lot depends on how these prompts are formulated. 

To Get The Best Out Of ChatGPT, Your Prompts Should Be:

Clear and well-defined. The more detailed your prompts, the better suggestions you will receive from ChatGPT.

Specify the functionality and programming language. Not specifying what you exactly need might not give you the desired results.

Phrase your prompts in a natural language, as if asking someone for help. This will make ChatGPT understand your problem better and give more relevant outputs.

Avoid unnecessary information and ambiguity. Keep it not only to the point but also inclusive of all important details.

Top ChatGPT Prompts For Software Developers

Let’s quickly have a look at some of the best ChatGPT prompts to assist you with various stages of your Software development lifecycle.

1. For Practicing SQL Commands;

2. For Becoming A Programming Language Interpreter;

3. For Creating Regular Expressions Since They Help In Managing, Locating, And Matching Text.

4. For Generating Architectural Diagrams For Your Software Requirements.

Prompt Examples: I want you to act as a Graphviz DOT generator, an expert to create meaningful diagrams. The diagram should have at least n nodes (I specify n in my input by writing [n], 10 being the default value) and to be an accurate and complex representation of the given input. Each node is indexed by a number to reduce the size of the output, should not include any styling, and with layout=neato, overlap=false, node [shape=rectangle] as parameters. The code should be valid, bugless and returned on a single line, without any explanation. Provide a clear and organized diagram, the relationships between the nodes have to make sense for an expert of that input. My first diagram is: “The water cycle [8]”.  

5. For Solving Git Problems And Getting Guidance On Overcoming Them.

Prompt Examples: “Explain how to resolve this Git merge conflict: [conflict details].” 6. For Code generation- ChatGPT can help generate a code based on descriptions given by you. It can write pieces of codes based on the requirements given in the input. Prompt Examples: -Write a program/function to {explain functionality} in {programming language} -Create a code snippet for checking if a file exists in Python. -Create a function that merges two lists into a dictionary in JavaScript.  

7. For Code Review And Debugging: ChatGPT Can Review Your Code Snippet And Also Share Bugs.

Prompt Examples: -Here’s a C# code snippet. The function is supposed to return the maximum value from the given list, but it’s not returning the expected output. Can you identify the problem? [Enter your code here] -Can you help me debug this error message from my C# program: [error message] -Help me debug this Python script that processes a list of objects and suggests possible fixes. [Enter your code here]

8. For Knowing The Coding Best Practices And Principles: It Is Very Important To Be Updated With Industry’s Best Practices In Coding. This Helps To Maintain The Codebase When The Organization Grows.

Prompt Examples: -What are some common mistakes to avoid when writing code? -What are the best practices for security testing? -Show me best practices for writing {concept or function} in {programming language}.  

9. For Code Optimization: ChatGPT Can Help Optimize The Code And Enhance Its Readability And Performance To Make It Look More Efficient.

Prompt Examples: -Optimize the following {programming language} code which {explain the functioning}: {code snippet} -Suggest improvements to optimize this C# function: [code snippet] -What are some strategies for reducing memory usage and optimizing data structures? 

10. For Creating Boilerplate Code: ChatGPT Can Help In Boilerplate Code Generation.

Prompt Examples: -Create a basic Java Spring Boot application boilerplate code. -Create a basic Python class boilerplate code

11. For Bug Fixes: Using ChatGPT Helps Fixing The Bugs Thus Saving A Large Chunk Of Time In Software Development And Also Increasing Productivity.

Prompt Examples: -How do I fix the following {programming language} code which {explain the functioning}? {code snippet} -Can you generate a bug report? -Find bugs in the following JavaScript code: (enter code)  

12. Code Refactoring- ChatGPt Can Refactor The Code And Reduce Errors To Enhance Code Efficiency, Thus Making It Easier To Modify In The Future.

Prompt Examples –What are some techniques for refactoring code to improve code reuse and promote the use of design patterns? -I have duplicate code in my project. How can I refactor it to eliminate redundancy?  

13. For Choosing Deployment Strategies- ChatGPT Can Suggest Deployment Strategies Best Suited For A Particular Project And To Ensure That It Runs Smoothly.

Prompt Examples -What are the best deployment strategies for this software project? {explain the project} -What are the best practices for version control and release management?  

14. For Creating Unit Tests- ChatGPT Can Write Test Cases For You

Prompt Examples: -How does test-driven development help improve code quality? -What are some best practices for implementing test-driven development in a project? These were some prompt examples for you that we sourced on the basis of different requirements a developer can have. So whether you have to generate a code or understand a concept, ChatGPT can really make a developer’s life by doing a lot of tasks. However, it certainly comes with its own set of challenges and cannot always be completely correct. So it is advisable to cross-check the responses. Hope this helps. Visit us- Intelliatech

[techdirectarchive]

How to Secure your API key in Postman

API “Application Programming Interface” is the bedrock of all system applications. Without an API it will be impossible for the backend logic of an application to communicate with the frontend. API also makes it possible for an application to make a call or send a request to another application. In this article, I will show you how to Configure Postman for a Secure API key Authentication. You can…

[jarrodcummerata]

Ultimate Guide to Top API Testing Solutions

Discover the best API testing tools to ensure your applications perform flawlessly. This comprehensive resource compares and contrasts leading platforms, helping you choose the perfect fit for your project. From functional testing to performance optimization, find expert insights and practical advice to master API testing.