A model set of opportunities and obstacles have emerged with the advent of the digital age. Cyber security testing has become increasingly important as organizations look to protect their networks, data, and systems from malicious attacks. As technology continues to evolve and become more sophisticated, artificial intelligence (AI) is tapped up as a way to improve cybersecurity testing. Although, AI has the potential to significantly reduce the time and effort needed to find and fix vulnerabilities, as well as to detect and respond to threats more quickly. AI can also help to identify patterns and uncover hidden threats that may have gone undetected.

Testing solutions that use artificial intelligence help development teams more easily analyze and understand where and what to fix and gives them the ability to more easily analyze and aggregate terabytes of data generated from automated tests. It is no secret that the pandemic has fueled a permanent shift to customer-centric, digital-first experiences, making it essential to provide flawless applications. As such, the field of QA and software testing has become central to building successful development organizations. Innovations such as artificial intelligence (AI) and machine learning solutions that uplevel and automate a number of testing scenarios are becoming necessary to keep up with the growing demand for continuous testing. This includes helping teams to prioritize testing more effectively and only testing new features or pages that are being widely utilized by customers (to save time!).

Savex Technologies announced a strategic partnership with Sauce Labs, the leading provider of continuous testing solutions that enable its customers to achieve digital confidence. Savex will serve as a national distributor and help Sauce Labs further expand its footprint and deliver automated testing solutions to businesses in India. The partnership will initially focus on distribution of Sauce Labs' AutonomIQ platform, a scriptless test automation solution that leverages powerful AI and ML capabilities to help users quickly and easily create and execute tests for modern low-code applications, and will expand to include other Sauce Labs solutions over time. Savex Technologies Pvt Ltd, with its long history of ICT distribution in India and its representation of many major IT brands and Cloud Services, will work with Sauce Labs to target all IT and product development organizations. Savex Technologies will enable various training sessions and provide technical assistance to update channel partners with the knowledge and skills to sell Sauce Labs' AutonomIQ solutions.

In the recent past, Artificial Intelligence or AI has emerged as the most significant technology behind the success of any industry segment, ranging from smart cities to healthcare. AI involves a multi-approach along with an interdisciplinary discipline along with developments in the machine learning and deep learning. Industries and businesses that wish to gain value out of data through automating and improving operations, AI plays a crucial role. AI in healthcare allows the medical staff by carrying out various activities that are performed by humans, though in less time with the smallest of investment. With the healthcare industry and its data on the rise is an excellent indicator of AI being implemented.

Testing specialists Applause have debuted an AI solution promising to help tackle algorithmic bias while providing the scale of data needed for robust training. Applause has built a vast global community of testers for its app testing solution which is trusted by brands including Google, Uber, PayPal, and more. The company is leveraging this relatively unique asset to help overcome some of the biggest hurdles facing AI development. AI News spoke with Kristin Simonini, VP of Product at Applause, about the company's new solution and what it means for the industry ahead of her keynote at AI Expo North America later this month. "Our customers have been needing additional support from us in the area of data collection to support their AI developments, train their system, and then test the functionality," explains Simonini.