An application’s attack surface is the sum of points where it might be vulnerable to bad actors. It consists of all the paths in and out of the application. Identifying vulnerabilities is vital to mitigating threats because any access point is a potential entry point for an attack. An attack surface analysis, which is critical to this mitigation strategy, is the process of identifying and assessing the potential vulnerabilities and risks in a software system or network.
In the ever-evolving realm of cybersecurity, it’s critical for businesses to stay ahead of the curve to ensure the safety of their sensitive data and infrastructure. By implementing proactive and continuous testing of the deployed security controls, teams can optimize their preparedness against advanced threats. It’s no surprise, then, that attack surface management has emerged as a potential solution.
Cyber risk trends are constantly evolving, driven by the pace of technological advancements that streamline business processes yet can introduce vulnerabilities in your company’s attack surface. With increased use of SaaS, cloud solutions, APIs, and third-party services, companies have many exposed and connected internet-facing assets that they’re unaware of, providing an open door for attackers to exploit.
IONIX has won two prestigious 2023 Globee® Awards, which include a Silver in the 3rd Annual Globee® Information Technology (IT) Awards for Best Attack Surface Management Product and a Silver in the 3rd Annual Globee® Disruptor Award for Cyber Security Software. These awards come on the heels of a Gold 2023 Globee® Cybersecurity Award for Best Security Software.
Smart automation in ASM refers to the application of intelligent and adaptive technologies and tools to automate the attack surface management process. By leveraging machine learning algorithms and artificial intelligence technologies, enterprises can automate discovery and threat exposure, drastically reducing the time and resources required for the process. They can also minimize false positives and false negatives.