The two new vulnerabilities that the U.S. Cybersecurity & Infrastructure Security Agency (CISA) has added to its list of known exploited vulnerabilities (KEV) are both related to the privilege elevation of the Linux kernel.

SQL Server is a widely used relational database management system (RDBMS) developed by Microsoft. It provides secure, scalable and high-performance storage and management of structured and unstructured data. SQL Server offers a wide range of features and tools for database administration, development, business intelligence and advanced analytics.

As businesses continue to rely on cloud services for all sorts of applications, computing, and storage services, each with its APIs, they dramatically increase their attack surface. It’s a situation that results in prime breeding grounds for cyber threats and, therefore, drives the need for managed detection and response (MDR) services. Consider the software-as-a-service (SaaS) market. It has grown steadily from a $31.4 billion market in 2015 to $232.3 billion in 2024, according to Techopedia.

As the fourth-largest economy worldwide, Japan stands as a pivotal center for various cutting-edge industries. This includes automotive, manufacturing, finance, and telecommunications, rendering its attack surface a prime target for cyber adversaries. Japan’s Western alliances and its territorial dispute with Russia, alongside support for Ukraine, heighten its cyber threat profile from state actors like China, Russia, and North Korea.

Mobile applications are ubiquitous, but their security can be a concern. Unlike web applications, in a mobile landscape, both the device and the mobile application have a crucial role in security due to increasing cyber threats. Mobile application penetration testing (mobile app pen testing) is a proactive security measure to identify and address vulnerabilities before malicious actors exploit them.

As artificial intelligence (AI) continues to advance, its integration into our daily lives and various industries brings both tremendous benefits and significant risks. Addressing these risks proactively is crucial to harnessing AI’s full potential while ensuring security and ethical use. Let's embark on a journey through the AI pipeline, uncovering the potential pitfalls and discovering strategies to mitigate them.

‍ ‍ ‍Private equity (PE) firms are becoming increasingly attractive targets for cybercriminals. Malicious actors are keen to capitalize on the ecosystem's access to an incredibly extensive and diverse array of sensitive data, particularly susceptible during and after M&As, as well as the notoriously low cybersecurity measures in place among the smaller businesses that some PE firms chose to hold.

With the increasing threat of cyber breaches, it has become crucial for businesses and government entities to have effective cybersecurity measures in place. However, many organizations struggle with deploying and operating these technologies with best practices and properly trained staff.

As more and more organizations use automation and orchestration to streamline their security operations, defining clear success criteria becomes critical to ensure the effectiveness and scalability of their program. Recently, an enterprise prospect approached us seeking help on establishing success criteria for their upcoming journey with Tines workflow automation.

It’s no easy feat for a company to maintain security and enforce standardized policies across a fleet of devices.