AI guardrails are vital for ensuring the safe and responsible use of AI/large language models (LLMs). However, focusing solely on single prompt-level checks can leave organizations vulnerable to sophisticated threats. Many company policy violations and security risks can be cleverly split across multiple, seemingly innocent queries. To effectively protect against these threats, a more comprehensive approach is needed — session-level monitoring.

In 2023, nearly 60% of incidents investigated by Arctic Wolf Incident Response involved a vulnerability that was two — or more — years old. That means the organization had 24-plus months to find and remediate the vulnerability before threat actors took advantage. Why do vulnerabilities remain persistent? There’s a number of reasons, not the least of which is that more of them pop up each day, creating a mountain of vulnerabilities that feels too difficult to summit for most businesses.

In the dynamic world of private equity (PE), the ultimate goal is clear: maximise the value of portfolio companies to achieve strong returns on investment. Achieving this requires a multifaceted approach, where operational efficiency, financial growth, and strategic direction are all essential components. However, one often-overlooked aspect that can make or break the success of these investments is operational resilience.

Hackers are increasingly targeting exposed Selenium Grid servers, hijacking them for cryptomining and proxyjacking activities. Selenium, an open-source browser automation tool widely used for web application testing, has become a valuable target for cybercriminals. As these servers often lack proper security measures, threat actors are seizing the opportunity to leverage them for their own gain.

One of the primary reasons that the Bitsight Security Rating is widely respected and closely correlated with real-world security outcomes is the scale and sophistication of our asset attribution capabilities. In a recent post, my colleague Francisco Ferreira shared an update on the momentum building with Bitsight Graph of Internet Assets (GIA), the AI-powered engine we use to map assets to organizations and build our Ratings Trees.

On September 11, 2024, GitLab released patches for a critical vulnerability affecting various versions of GitLab CE/EE, identified as CVE-2024-6678. This flaw allows a remote attacker to trigger a pipeline as an arbitrary user under specific conditions. A GitLab pipeline is a collection of automated processes that run in stages to build, test, and deploy code.

Application security is the combination of tools, practices, and policies that are used to protect the application layer of software from threat actors. Once something of an afterthought, application security is now widely and rightfully recognized as a vital part of the software development life cycle (SDLC). As the complexity of technology increases, considering application security early and often in the SDLC is imperative to keeping data and resources from falling into the wrong hands.

As organizations increasingly integrate artificial intelligence (AI) into their operations, the nature of data security is undergoing significant transformation. With AI’s ability to process vast amounts of data quickly, the risk of data breaches and leaks has grown exponentially. In this context, Data Loss Prevention (DLP) has (re)emerged as a critical component for IT professionals seeking to safeguard sensitive information.

Is hacking a bad thing? Not really. You can hack for good.

Adobe has recently addressed a critical vulnerability in its Acrobat Reader software, urging users to update immediately. The flaw, tracked as CVE-2024-41869, is a "use after free" vulnerability, which could allow attackers to execute malicious code remotely through specially crafted PDF files. This article explores the nature of this exploit, its discovery, and the urgency behind updating to the latest version.