Top Security Testing Trends to Have on Your App’s Security Radar
Penetration testing is a critical cybersecurity tenet. With ever-evolving security threats and increasing complexities and data exposure of applications, it has become business-critical for organizations to have robust security testing. It is also essential to follow the latest trends and technologies to ensure your app stays bullet-proof and reliable for your customers.
To keep you informed about necessary changes, we are highlighting the most significant trends applicable today and in the future.
DevSecOps
The term Secure DevOps or Development Security Operations refers to incorporating best security practices into the existing DevOps workflow. Thus, when integrated as DevSecOps, the security process automates, establishing a development and security teams’ method.
The Advantages of a DevSecOps Approach
- Extremely rapid delivery and agility
- Adaptable
- Increased trust
- Increased accountability
- Increased potential for automated builds
- Early identification of code-level vulnerabilities
Artificial Intelligence and Machine learning
Artificial Intelligence allows a computer to learn from its own experience, apply the learning, and execute previously performed jobs by people. The technology is successfully used in various situations, including self-driving cars, chatbot assistance, and voice assistants. Thus, it enables computers to do activities that need huge quantities of data processing.
Machine learning is an artificial intelligence subset in which computers analytically create models based on derived training data. Machine learning is based on the idea that computers, like humans, can learn, recognize, and make choices. Machine learning has found widespread use in electronics, including recommendation engines on OTT platforms and voice search assistants. Thus, machine learning may assist businesses in making more informed choices with less human involvement.
Both AI and machine learning have widespread use in successful penetration testing methodologies, combining human knowledge, threat reporting and intelligence, and thorough vulnerability scanning.
Cloud Security Testing
Gartner predicts that by 2020, 95 percent of cloud security vulnerabilities will be caused by organizations. The whole digital ecosystem must use robust cloud security testing services to prevent such incidents.
It is the twenty-first century, and cloud platforms are inevitable, emphasizing the concrete existence of cloud-based app security testing. The tool is hosted on a cloud platform in this testing mode, and the procedure is somewhat different from conventional testing. Today’s companies’ main need is to service all endpoints, which is why applications deploy on cloud platforms.
Cloud-based security testing solutions provide a cost-effective testing alternative for companies of all sizes and enable firms to use testing resources efficiently. Cloud space providers offer a wide range of security services to meet their customers’ diverse needs.
User Behavior Analytics
According to Verizon’s latest data breach study, almost 74% of businesses fear an insider attack. It means that your security system must be proactive in detecting intrusions from both external and internal sources. It’s where User Behavior Analytics comes in handy by collecting, recording, and analyzing user behavior via monitoring systems.
Gartner introduced UEBA (User and Entity Behavior Analytics) in 2015 as a new security testing. This analytics solution largely relies on machine learning and deep learning to model the behavior of a range of vulnerabilities that exist on their networks. The system effectively identifies unusual behavior, determines whether the behavior change may result in security vulnerabilities, and notifies the security response team accordingly.
By defining a basic profile for routine and day-to-day operations specific to the company and its users, the UBA tools provide more comprehensive profiling and monitoring than SIEM (Security Information and Event Management) systems. Additionally, the UBA system detects deviations from the average in real-time by using big data and machine learning techniques.
In Summary
With the digitalization of businesses happening at a rapid pace, cybersecurity threats have also grown exponentially. Hence, you need to stay updated to keep evolving your cybersecurity measures. Above mentioned security testing trends can help you achieve a thicker layer of security for your business and apps.