The enterprise technology landscape has changed significantly, driven by the rapid adoption of cloud technologies, evolving IT infrastructures, and evolving exploitation activities. This transformation requires that organizations take an updated approach to vulnerability management—one that goes beyond the traditional focus on patch management to encompass a broader spectrum of risks.

In this cloud, DevOps and AI era, security teams grapple with the growing challenge of shadow secrets and vault sprawl. As organizations scale, secrets management increasingly fragments. For example, Microsoft recommends using one Azure Key Vault, per application, per environment per region. Without centralized visibility, security policies and rotation control, vault sprawl leads to heightened security risk and compliance challenges.

After speaking to a wide spectrum of customers ranging from SMBs to enterprises, three things have become clear: Add that together, and we get Shadow AI. This refers to AI usage that is not known or visible to an organization’s IT and security teams. Shadow AI comes in many forms, but in this blog we’ll stick to a discussion of Shadow AI as it pertains to applications. Application security teams are well aware that AI models come with additional risk.

Your Domain Name System (DNS) infrastructure enables users to connect to web-based resources by translating everyday language into IP addresses. Imagine going into a restaurant, in the age before the internet, only to find that the staff speaks and the menu is written in a different language from yours. Without some shared communication form, you can’t order dinner, and they can’t give you what you want.

In today’s business environment, cost reduction is a top priority for many organizations. Companies are increasingly adopting technologies that automate tasks and enhance efficiencies to achieve cost savings. However, minimizing risk should also be a key objective for every business.

Tanium’s latest integration for ServiceNow IT Operations Management enables end-to-end patch lifecycle management and orchestration with seamless workflows, change management controls, and audit reporting tied to the service desk and CMDB.

In the early days of cybersecurity, implementing a Security Information and Event Management (SIEM) system was akin to constructing a house from scratch. The SIEM was a blank slate, and transforming raw data into actionable insights was a long and arduous journey. It began with the daunting task of ingesting data from various disparate sources and formats. From there, security teams had to craft detections — rules designed to identify malicious or suspicious activity.

The rise of SaaS applications and solutions has revolutionized the way we work. However, the unsanctioned use of these tools, known as shadow IT and shadow SaaS, poses a significant risk to corporate networks. A recent study reveals that the top risks associated with these practices include data loss (65%), lack of visibility and control (62%), and data breaches (52%). In fact, one in ten companies surveyed suspect that the use of tools without the consent of their IT teams has led to a data breach.

In a recent cybersecurity alert, the infamous Iranian hacking group APT33 (also known as Peach Sandstorm and Refined Kitten) has unleashed a new form of malware named "Tickler" to compromise the networks of various organizations across critical sectors in the United States and the United Arab Emirates. This latest campaign, observed between April and July 2024, has primarily targeted government, defense, satellite, and oil and gas industries.

Discover how GitGuardian's latest product innovations enhance your secrets security, streamline remediation, and improve incident management for better protection of your software supply chain.