Application Penetration Testing Services Archives

Best 20 Application Penetration Testing Companies in India

Chinmaya Choudhury / January 16, 2025

As cyber threats are becoming increasingly sophisticated, this has led to a greater need for effective application penetration testing. Organizations are always under pressure to safeguard their digital assets and ensure that their applications are not compromised. Penetration testing is the proactive method used to find vulnerabilities in systems, applications, and networks that can be exploited by malicious actors. There are a number of prominent application penetration testing companies and a global IT hub making rapid strides to improve cybersecurity. Companies leverage advanced tools, skilled professionals, and the most cutting-edge methodologies to help businesses minimize risk. Here is a closer look at the top 20 application penetration testing companies in India, which showcases their expertise, services, and unique offerings. List of Top 20 Application Penetration Testing Companies in India 1. QualySec QualySec is a cybersecurity firm that prides itself on its innovative hybrid technique in app pen testing: an integration of automated tool utilization and the human mind to perform detailed security analysis. They have: QualySec focuses on real-time vulnerability reporting and continuous support after the assessment so their clients can quickly respond to changing threats. They also focus on various industries, such as fintech, health care, and e-commerce, and adapt to specific security needs. Success Stories: The company has worked with some of the leading companies by offering security assessments and solutions, helping to mitigate some of the toughest challenges. It has successfully incorporated automation along with manual testing and has established its position as a trusted proactive security partner. Talk to our Cybersecurity Expert to discuss your specific needs and how we can help your business. Schedule a Call 2. eSec Forte Technologies eSec Forte Technologies is a CMMi Level-3 certified company. It specializes in providing end-to-end application penetration testing services along with digital forensics. They provide services in the following areas: Cloud Security: They ensure that cloud-based platforms are secure from vulnerabilities. Risk Assessment: It involves the identification of risks in the organization’s digital infrastructure. Compliance Services: They make sure that businesses adhere to global compliance standards such as GDPR, HIPAA, and PCI DSS. eSec Forte focuses on overall risk assessment and incident response strategy to make its clients strong while maintaining their regulatory compliance. App penetration testing offered by eSec Forte is also highly accurate and reliable. Client Base Serving Fortune 1000 companies, eSec Forte is trusted by enterprises across the banking, IT, and government sectors. Their expertise in digital forensics helps businesses manage incidents and gather crucial evidence in case of data breaches. 3. Suma Soft Suma Soft is one of the leading application penetration testing companies in India, and it has more than 20 years of experience. Their services are as follows: Security Operation Center (SOC): It enables precise monitoring and proactive detection 24/7. Vulnerability Assessment: Finding the weak points in apps, systems, networks Cloud Security: The implementation of strong solutions for securing a cloud-based Application. Suma Soft’s SOC services offer real-time threat detection and response. Therefore, it is one of the preferred partners for organizations requiring round-the-clock monitoring. The organization’s emphasis on operational efficiency and cost-effectiveness has made them a favorite for SMEs. Suma Soft has assisted hundreds of organizations in enhancing their security posture, allowing them to detect and respond to threats in real time to ensure business continuity. 4. DR CBS Cyber Security Services LLP DR CBS is the first CERT-In impanelled Organisation in Rajasthan to deal with secure software development, forensic investigation, mobile app penetration testing, and incident response. Their services include: Secure Software Development: This involves application development with security in mind. Forensic Investigation: Helping organizations trace the origin of security incidents and mitigate future risks. Incident Response: Providing support to mitigate the damage caused by a security breach. The company uses strict methodologies and follows regulatory standards for compliance and security. Their application pen testing services are focused on both software and network systems that help identify hidden vulnerabilities and resolve them proactively. 5. Indusface Indusface was the first to introduce the Web Application and API Protection (WAAP) service model. Their security solutions include: Web Application Firewall (WAF): An advanced tool to protect web applications from common attacks. Advanced Threat Protection: Real-time detection and mitigation of sophisticated threats Managed Security with Zero False Positives: Enhanced accuracy in identifying vulnerabilities Indusface is one of the companies that provide the most holistic real-time security experience using AI and machine learning. Its promise of zero false positives means that clients can rely on the system completely without overlooking vital threats. Client Base: More than 900 global customers are served by Indusface, and it is known for providing accurate and effective application security solutions. 6. WeSecureApp (TekCube Private Ltd) WeSecureApp is one of the best app pentesting companies on the list, and it specializes in customized penetration testing services that go hand in hand with risk management and compliance. Their main services include: Security-as-a-Service: Comprehensive cybersecurity solutions delivered on scalable and flexible premises. Managed Security Solutions: Continuous protection for businesses through ongoing monitoring and management. Compliance and Risk Management: Ensuring global cybersecurity compliance for businesses. WeSecureApp combines automated tools with manual testing to offer a holistic vulnerability analysis. Their compliance focus ensures that businesses are able to meet regulatory requirements while maintaining high-security standards. 7. AAA Technologies Ltd AAA Technologies is a well-established organization listed on the National Stock Exchange (NSE) and the Bombay Stock Exchange (BSE), with a strong focus on providing specialized mobile application security testing services. As a leading player in the field, AAA Technologies offers comprehensive cybersecurity solutions aimed at ensuring robust protection against digital threats for businesses across various industries. IS Audits: Thorough reviews of information systems to ensure security and compliance. IT Governance: Assist organizations in developing best-in-class IT governance practices. Cybersecurity Consulting: Advisory services to companies on improving their security posture. AAA Technologies is an IT governance and risk assessment expert and a great partner for any BFSI and government agency firm. Their auditing of cybersecurity guarantees the compliance standards of organizations

Application Penetration Testing

Application Penetration Testing: A Complete Guide in 2025

Chinmaya Choudhury / January 10, 2025

According to the “Global Risks Report 2023” of the World Economic Forum, cybersecurity will remain one of the biggest concerns in 2024, with continued risks from attacks on technology-driven resources and services, including financial systems and communication infrastructure. In 2024, malware-free activities – phishing, social engineering, and leveraging trusted relationships – accounted for 75% of detected identity attacks. Application Penetration Testing is a proactive method where you simulate attacks in your web applications to identify vulnerabilities. In this blog post, we will explore web app penetration testing, why it is crucial for your enterprise, and how enforce it effectively. What makes Application Penetration Testing Important? Application Penetration Testing is important, even if there are existing security measures. Let’s find out the following reasons: Types of Web Application Penetration Testing The various types of Web Application Penetration Testing can be differentiated on the basis of several criteria and focus aspects for web security. This process attempts to discover weaknesses that the hacker may later exploit. Below are the primary types of penetration tests, explicitly tailored specifically for web applications in 2025. 1. Black Box Testing In black box testing, the tester does now not recognize how the software works inside. This technique simulates an outside cyberattack and concentrates on identifying vulnerabilities that can be exploited from the outside without any insider facts. Black box testing is useful for comparing the application’s external defenses. 2. White Box Testing (Also Known as Clear Box Testing or Glass Box Testing) White box testing gives a complete view of the application to the tester, which includes supply code, architecture diagrams, and credentials. This kind of information allows the tester to make an in-depth analysis of the application for vulnerabilities, which may be hard to identify from the outdoor. White box testing is effective in assessing the application’s internal security and logic. 3. Gray Box Testing Gray box testing is a hybrid approach where the tester has partial knowledge of the application’s internals. This might include limited access or an overview of the architecture and protocols but not full source code access. Gray box testing balances the depth of white box testing and the realism of black box testing, offering a well-rounded security assessment. 4. Static Application Security Testing (SAST) SAST is source code analysis, bytecode, or binaries analysis without running the application. This testing technique is useful to find security flaws at the code level, thus allowing the detection of vulnerabilities as early as in the development process. 5. Dynamic Application Security Testing (DAST) DAST works by testing an application at runtime. It simulates attacks against a running application. This is effective for runtime and environment-related vulnerabilities like authentication and session management. 6. Interactive Application Security Testing (IAST) IAST will combine aspects of both SAST and DAST, that is, analyzing the application from within during runtime. The method gives deep insights into how data flows through the application and how vulnerabilities can be exploited, giving a comprehensive view of the application’s security posture. 7. API Penetration Testing Given the critical role of APIs in modern web applications, API penetration testing specifically targets the security of web APIs. It involves API testing methods, data handling, authentication mechanisms, and how APIs interact with other application components. 8. Client-side Penetration Testing This testing method uses vulnerabilities identified in client-side technologies like HTML, JavaScript, and CSS. The testing is directed at discovering vulnerabilities that might be used against the client’s browser to gain entry, for instance, XSS and CSRF. Key Phases of App Penetration Testing Application Penetration Testing is a structured process involving several phases, each of which is important to achieve accurate and comprehensive results. Let’s break down each phase: 1. Planning and Preparation It prepares the ground for a good penetration test. In the testing planning phase, the scope of the test is clearly defined, including the actual systems to be tested and by using methods towards particular objectives. This phase has built-in rules of engagement to not disallow the normal operations of the application. 2. Information gathering In this phase, the tester gathers as much information as possible about the target web application. This may include domain names, IP addresses, software versions, and public-facing APIs. The aim is to map out the application and identify potential entry points. For instance, during the test of e-commerce, this phase of the process would reveal during the testing time that its website was hosting an outdated variant of a known CMS, which makes it vulnerable to known exploits. 3. Information gathering With the above information collected, the next stage is finding out the vulnerabilities that exist within the web app. Manual testing is, however a requirement in this stage as automation alone cannot provide more sophisticated types of vulnerabilities. Common vulnerabilities: 4. Exploitation This phase involves actively exploiting the identified vulnerabilities to assess their potential impact. The aim is to determine how much damage could be done if a malicious actor were to exploit the vulnerability. 5. Post-exploitation Once a vulnerability has been exploited, the tester reviews the breach extent. The evaluation is about the possible damage caused, sustaining access, and even pivoting to other areas of the network. For example, after breaching a vulnerability in a web application, the tester may find out that he can reach the internal company network and thus breach files and systems that were supposed to be secure. 6. Reporting It should be compiled in a report. The report must detail all vulnerabilities identified, how they were exploited, and their potential impact. Most importantly, it should present actionable remediation recommendations. Best Practices for Online Application Penetration Testing To sum it all up, here are some of the best practices to consider while performing online application penetration testing. How can Qualysec App Testing help you? At Qualysec, we can provide various application penetration testing solutions that may complement web application penetration testing in several ways. Of course, penetration testing is exclusively on the identification of vulnerabilities that web applications may have but, at

What is AI Application Penetration Testing and why is it important

AI Penetration Testing

AI-Based Application Penetration Testing and Its Importance

[email protected] / August 23, 2024

In today’s rapidly evolving digital landscape, artificial intelligence (AI) is crucial in numerous applications, ranging from healthcare and finance to cybersecurity and autonomous vehicles. As AI continues to integrate into various sectors, ensuring the security and integrity of these AI-driven applications has become paramount. Therefore, this is where AI-based penetration testing comes into play. Just as traditional software applications require rigorous security testing, AI applications demand a specialized approach to uncover potential vulnerabilities that malicious actors could exploit. What is AI Application Penetration Testing? AI application penetration testing is a specialized form of security testing to identify and address vulnerabilities specific to AI-driven systems. Unlike, traditional penetration testing focuses on identifying weaknesses in conventional software or network systems, AI-based penetration testing delves into the unique aspects of AI, such as machine learning models, data sets, and decision-making algorithms. Thus, this type of testing involves a thorough assessment of the AI application’s components, including its training data, models, and interfaces, to ensure that they are resilient against attacks. The goal is to simulate real-world attack scenarios and evaluate how the AI system responds, with the ultimate aim of identifying and mitigating risks before they can be exploited. The Importance of Penetration Testing for AI Applications AI applications are increasingly becoming targets for cyberattacks due to their critical roles in decision-making processes and their reliance on vast amounts of data. Hence, penetration testing is essential for AI applications for several reasons: Steps to Perform AI Application Penetration Testing Conducting penetration testing on AI applications involves several key steps: 1. Scope Definition 2. Reconnaissance and Information Gathering 3. Vulnerability Analysis 4. Exploitation 5. Reporting and Remediation 6. Continuous Monitoring Since AI systems are dynamic and evolve. Regular penetration testing and continuous monitoring are essential to maintaining security as the AI application develops. Latest Penetration Testing Report Download Best Practices for AI Application Penetration Testing To ensure effective AI-based application penetration testing, consider the following best practices: Top 5 Penetration Testing Tools for AI Applications Penetration testing for AI applications is critical to ensuring their security and robustness. Given the unique nature of AI systems, specialized tools are required to identify and mitigate vulnerabilities effectively. Here are five of the best AI pentesting tools designed specifically for AI applications. 1. Adversarial Robustness Toolbox (ART) The Adversarial Robustness Toolbox (ART) is a comprehensive open-source library developed by IBM, designed to help researchers and developers enhance the security of AI models. In particular, ART provides a wide range of functionalities, including the creation of adversarial attacks to test model robustness and defenses to safeguard against these attacks. It supports a variety of machine learning frameworks, such as TensorFlow, PyTorch, and Keras, making it versatile for different AI environments. ART is particularly useful for evaluating the robustness of AI models against adversarial examples, which are inputs deliberately crafted to mislead the model. By using ART, developers can simulate attacks and strengthen their models against potential threats, ensuring that the AI systems are resilient and secure. 2. Counterfit Counterfit is an open-source tool developed by Microsoft to help security professionals conduct AI-focused penetration testing. This versatile tool enables the simulation of adversarial attacks across a wide range of AI models, including those based on machine learning and deep learning. Furthermore, counterfeit is designed to be user-friendly and can be integrated with other security tools, making it a powerful addition to any security professional’s toolkit. It allows users to test the robustness of their AI models against various attack vectors, such as data poisoning, evasion, and model extraction attacks. By using Counterfit, organizations can proactively identify vulnerabilities in their AI systems and take necessary measures to mitigate risks, ensuring the integrity and security of their AI applications. 3. Foolbox Foolbox is a popular open-source Python library designed for generating adversarial examples to test the robustness of AI models. It supports a wide range of machine learning frameworks, including TensorFlow, PyTorch, and JAX. Additionally, Foolbox provides researchers and developers with a simple yet powerful interface to create adversarial attacks, such as gradient-based attacks and decision-based attacks, that can help expose vulnerabilities in AI models. The tool’s flexibility and ease of use make it ideal for testing and improving the security of machine learning models, particularly in identifying how models react to inputs designed to deceive them. By leveraging Foolbox, developers can gain insights into potential weaknesses in their AI systems and take steps to enhance their robustness. 4. TextAttack TextAttack is an open-source Python library specifically designed for adversarial attacks on natural language processing (NLP) models. It provides a suite of tools for generating, testing, and defending against adversarial examples in text-based AI applications. TextAttack supports a variety of NLP models, including those built with Hugging Face’s Transformers, and allows users to create custom attack scenarios tailored to their specific needs. The tool’s capabilities include generating adversarial text that can trick AI models into making incorrect predictions or classifications. TextAttack is invaluable for developers and researchers working with NLP models, as it helps them identify and address vulnerabilities that could be exploited in real-world scenarios. By using TextAttack, organizations can enhance the security and robustness of their text-based AI applications. 5. TensorFi TensorFi is a specialized tool for testing the robustness and security of AI models deployed in production environments. It provides a comprehensive framework for conducting penetration tests, focusing on detecting vulnerabilities related to model inference, data integrity, and system resilience. TensorFi is particularly useful for organizations that rely on AI models for critical decision-making processes, as it helps ensure that the models are secure against adversarial attacks and other potential threats. The tool offers features such as automated testing, real-time monitoring, and detailed reporting, making it a powerful resource for maintaining the integrity of AI systems. By integrating TensorFi into their security practices, organizations can safeguard their AI applications against a wide range of security risks, ensuring reliable and trustworthy AI-driven outcomes. Conclusion As AI continues to transform industries and reshape the way we interact with

Application Penetration Testing Services

Best 20 Application Penetration Testing Companies in India

Application Penetration Testing: A Complete Guide in 2025

AI-Based Application Penetration Testing and Its Importance

Pabitra Kumar Sahoo

Get In Touch

Get a quote

For Free Consultation

Pabitra Kumar Sahoo