Skip to main content

Software Application Security Testing Market Demand

Maintaining enterprise IT security is a significant challenge. With the ubiquity of public internet access and cloud-based software applications, they're essential tools to interconnect enterprises with customers and prospects, but they're also the potential target of cyber attacks from domestic and foreign criminals.

Sophisticated hackers continuously capitalize on the exposed security flaws of software applications to steal customer information, disclose or sell sensitive customer records and harm the reputation of the public company and its senior executive leaders.

According the the latest worldwide study by ABI Research, the security testing market will develop to reach $6.9 billion in revenue by 2020. That being said, secure software development remains a significant long-term problem for most businesses today.

"The biggest challenge for company software developers lies in market forces and funding," said Monolina Sen, senior analyst at ABI Research.

Software Development Security Environment

ABI believes that software developer incentives, and consequentially their priorities, are tied to implementing new features and meeting release deadlines. With companies always aiming to shorten product deployment cycles, enterprise application security is often among the first tasks to be curtailed.

Traditionally, security audits and quality assurance testing happen toward the end of the development cycle, by which point most security issues are expensive to rectify. Besides, most software developers would prefer to focus on releasing the latest features to the app users, rather than re-coding the problem areas.

The changing threat landscape and increasing frequency of application attacks, however, is now forcing all organizations to more adequately address web application security through secure software development methodologies.

Key Role of Software App Security Testing

As such, software application security testing is becoming crucial for savvy organizations to adhere to important corporate compliance regulations, while at the same time defending themselves from preventable security attacks.

ABI Research reviewed the software security approaches of six vendors: Acunetix, Checkmarx, Cigital, IBM, Qualys and Veracode. Their assessment highlights current software security development trends and provides insight into the secure software development solutions in the market.

Static Application Security Testing (SAST), or white-box testing, is one of the most effective ways to eliminate software flaws. By solving the problem at the code level, static testing can reduce the number of security-related design and coding defects.

SAST offers many advantages -- it can detect complex vulnerabilities that are not visible without access to the source code. In addition, SAST helps users locate the precise location of any flaw in the source code, which makes it an extremely useful methodology.

ABI says that implementing a robust web application security practice enables software development teams to quickly identify 'known' security exposures -- through defective code detections, patch checks and comprehensive evaluations of software user authentication services.

Popular posts from this blog

Anywhere, Anytime Workplace Demand for SASE

The ongoing adoption of flexible working models within the enterprise market has significant implications for typical IT organizations that must now support knowledge workers and front-line employees that operate outside the corporate network perimeter. The global COVID-19 pandemic created IT networking and security challenges. The expansion of the distributed workforce, an increasing reliance on cloud computing infrastructure, and the requirement to securely connect online employees -- wherever they choose to work, at any given moment in time. Legacy IT solutions that have rigid network underlays and a requirement for on-premises infrastructure cannot adequately deal with these trends. This 'Anywhere, Anytime Workplace' led to demand for new Secure Access Service Edge (SASE) solutions, with networking and security delivered as-a-service. Anywhere, Anytime Workplace Market Development   Although converging networking and security capabilities offer enterprises a promising solut

The Metaverse Raised Virtual Reality Interest

After years of slow growth and limited use cases, the Virtual Reality (VR) market is now forecast to grow significantly over the next five years. Consumer interest in VR games and media continues to grow after the COVID-19 pandemic accelerated activity. At the same time, the need for employee enablement and immersive content within the enterprise environment remains strong. According to the latest market study by ABI Research, over 90 million Head Mounted Display (HMD) shipments in 2027 will drive total VR market revenues to reach over $95 billion across hardware, software, and services. Virtual Reality Market Development "The virtual reality market is no stranger to false starts, with identifiable efforts in VR dating back to the 1980s and 1990s. While the technology never found purchase results, the increased capability of VR hardware combined with the demand for immersive content in numerous markets, presents a significant opportunity," says Eric Abbruzzese, research direc

Cloud Edge Computing Demand Continues to Grow

Public cloud computing solutions are moving closer to the edge of networks where CIOs and CTOs are hosting new apps. The edge journey is well underway for forward-looking organizations as they seek to connect with customers, improve operational efficiency, and adopt digital business technologies to drive innovation. The latest worldwide market study by International Data Corporation (IDC) found that three-quarters of organizations plan to increase their edge computing spending over the next two years with an average increase of 37 percent. A combination of factors is driving this increased spending at the edge. Cloud Edge Computing Market Development The performance requirements of expanding workloads and new use cases that leverage artificial intelligence (AI) and machine learning (ML) demand greater compute capacity at the edge. In addition, the amount of data being stored in edge locations are rapidly expanding, and organizations plan to keep this data longer. As a result, the numbe