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.

Modern businesses operate in a data-centric world, where every byte of information holds the potential to drive growth, innovation, and competitive advantage. But as our reliance on data deepens, so does our vulnerability. Cyberthreats are evolving at an alarming pace, natural disasters loom as ever-present risks, and the complexities of modern IT environments—from huge cloud infrastructures to containerized applications—demand a new approach to data protection.

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

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.

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.

Imagine being on shift as the guard of a fortress. Your job is to identify threats as they approach the perimeter. The more methods you have for detecting those threats, the better your chances of succeeding. A good security reporting framework works the same way and can help a security team develop the insights needed for an effective threat monitoring strategy.