Threat actors are constantly looking for new ways or paths to achieve their goals, and the use of Artificial Intelligence (AI) is one of these novelties that could drastically change the underground ecosystem. The cybercrime community will see this new technology either as a business model (developers and sellers) or as products to perpetrate their attacks (buyers).
Often security engineers find it difficult to scale secure code review processes either due to lack of funding, adoption to smaller sprint cycles or even security engineers failing to integrate security to agile philosophy. This post talks about various ways to address such challenges.
APIs, formally known as application programming interfaces, occupy a significant position in modern software development. They revolutionized how web applications work by facilitating applications, containers, and microservices to exchange data and information smoothly. Developers can link APIs with multiple software or other internal systems that help businesses to interact with their clients and make informed decisions.
Detecting suspicious API traffic is of utmost importance in today’s digital landscape. With the increasing reliance on APIs, or application programming interfaces, for data exchange between different applications and systems, it has become crucial to ensure the security and integrity of these interactions. One of the main reasons why detecting suspicious API traffic is so significant is the potential threat it poses to the overall system and its data.
Fast, low-latency, high-capacity networks are needed in today's environment. However, these advanced networks face a significant challenge: combining speed, reliability, and flexibility with security. Until recently, much debate has been about which technology was better for protection purposes. There seemed to be a constant battle between users who saw more advantages in Wi-Fi 6 and users who preferred 5G networks.
AWS Security provides organisations with the tools and resources they need to protect their applications, services and data in the cloud. It can help businesses identify areas of vulnerability, detect malicious activity, monitor traffic patterns for suspicious activity and prevent unauthorised access. It includes features like encryption, authentication, risk assessment and compliance monitoring.
The rise of hybrid work has accelerated digital transformation for organizations of all sizes. As a result, more and more applications and data are moving to the cloud. While this has created a number of benefits — including cost savings, ease of access, and increased operational efficiencies — the cloud has also made it more challenging to protect sensitive data.
What do you know about how to use Google SIEM? You can read about implementing these managed security services into your company's network protocols.