As organizations sell to more discerning buyers, scrutiny on security and compliance practices grows. It’s certainly warranted—the frequency of third-party breaches is on the rise. In our State of Trust Report, almost half of all organizations surveyed say that a vendor of theirs experienced a data breach since they started working together. ‍

We’re excited to share some big news: 1Password is officially joining the Rails Foundation!

BYOVD involves adversaries writing to disk and loading a legitimate, but vulnerable, driver to access the kernel of an operating system. This allows them to evade detection mechanisms and manipulate the system at a deep level, often bypassing protections like EDR. For the exploitation to succeed, attackers must first ensure the driver is brought on the target system. This is followed by the initiation of a privileged process to load the driver, setting the stage for further malicious activities.

Identity is the new battleground in today’s rapidly evolving cyber threat landscape. Microsoft Active Directory (AD), a cornerstone of enterprise identity management, is a frequent target for attackers. For organizations, protecting these critical environments without adding complexity is essential. Many organizations struggle to get full visibility into changes made within Active Directory.

Mobile app security testing tools are like a unified command center for enterprise organizations. They automate the detection of potential threats, standardize testing protocols across agencies, help prioritize risks, and enable rapid response to the most critical threats. If your organization has several mobile applications developed by multiple third-party vendors, fragmented security oversight and inconsistencies in app development must be commonly observed.

The intersection of IoT (Internet of Things) and OT (Operational Technology) in healthcare has become a focal point in securing critical infrastructure. With the industry accounting for 9% of global GDP and integrating thousands of devices, from bedside monitors to surgical robots, the stakes couldn’t be higher. The journey from isolated systems to hyper-connected healthcare environments has unlocked unparalleled efficiency and innovation. Yet, it has also introduced unprecedented security risks.

On the morning of Oct 13th, SpaceX successfully performed a groundbreaking catch of its Starship booster. It was a monumental moment in space exploration, one that David Heinemeier Hansson, co-founder of Ruby on Rails and Basecamp, recently praised in his blog. As Heinemeier Hansson noted, pulling off such feats requires a rare combination of audacity, vision, and an ironclad refusal to accept failure.

Now a days cyber-crimes are at their peak; therefore, businesses need more than just the usual tools to keep their systems safe. XDR, which stands for Extended Detection and Response, has become a strong answer to this problem. It offers company-wide protection by bringing together ways to spot and deal with threats across computers, networks, and cloud services in one complete system.

The issue of diversity in the cybersecurity sector has been present since the early days of IT companies. The public perception of a cybersecurity professional carries with it a specific image of the kind of person who works in IT and cybersecurity, and many minority groups—including women, people of color and ethnic minorities, and disabled and neurodivergent people—are heavily underrepresented in the workforce.

Large Language Models (LLMs) are AI systems trained on vast textual data to understand and generate human-like text. These models, such as OpenAI’s Chat GPT-4 and Anthropic Claude, leverage their wide-ranging language input to perform various tasks, making them versatile tools in the tech world. By processing extensive datasets, LLMs can predict subsequent word sequences in text, enabling them to craft coherent and contextually relevant responses.