As cloud computing technologies are quickly have become mainstream due to the multitude of benefits that have transformed how we store, manage, and access data, the enterprise landscape is rapidly changing how they interact with data and applications. However, one of the overlooked and most misunderstood activities that must be performed to successfully leverage cloud computing technologies is the creation of a cloud computing security architecture.

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In today's digital landscape, organizations are increasingly reliant on internet-facing applications to conduct business and engage with customers. However, many organizations are unaware of the full extent of their internet exposure. Can you secure your organization if you do not know which internet-facing applications you own? Not effectively.

Given the many laws, frameworks and industry best practices surrounding artificial intelligence (AI), it’s not surprising that lawyers, compliance professionals and others charged with AI governance and compliance are seeking a starting point for AI guidelines. A solid foundation is vital to building a program that satisfies the growing matrix of requirements while allowing companies to simplify and execute their programs amid growing complexity and change. The U.S.

Microsoft 365 (M365) has become the industry standard for business email platforms, allowing users access to a variety of interconnected productivity and communication applications. With data readily available across multiple applications within M365, threat actors are using a specific technique to exfiltrate data within a user’s M365 email account.

Microsoft 365 is the standard in modern enterprise environments, offering a robust suite of productivity and collaboration tools. With millions of users accessing sensitive data from various devices and locations, security vulnerabilities can arise, making it highly attractive for cybercriminals seeking to exploit and steal valuable data.

IDATLOADER (aka HIJACKLOADER, GHOSTPULSE) has become prevalent in 2024, using advanced and new techniques such as BPL Sideloading, which Kroll reported on in June. Kroll observes IDATLOADER distributing malware such as ASYNCRAT, PURESTEALER, REMCOS, STEALC and what some might describe as a recent epidemic in LUMMASTEALER infections.

Alongside an explosion in the popularity of large language models (LLMs) across many industries, there has also been an increase in the level of trust granted to these models. Whereas LLMs were once perceived as simple, friendly chatbots that could respond to basic questions or pull useful resources from the web based on user input, many have now been granted the ability to perform actions, anywhere from sending an email to deploying code. This is referred to as agency.

The Kroll Security Operations Center (SOC) has recently detected and remediated a trend of incidents that involved socially engineering a victim into pasting a PowerShell script into the “Run” command window to begin a compromise. These incidents have typically begun with the victim user attempting to find “YouTube to mp3” converters, or similar, then being redirected to the malicious webpages.

The legal and regulatory landscape is constantly evolving, continually intensifying the demands placed on organizations. As well as meeting the requirements of existing regulations such as the Payment Services Directive 2 (PSD2), companies must contend with the upcoming introduction of the Network and Information Security Directive or NIS2 (Directive (EU) 2022/2555) and the Digital Operational Resilience Act (DORA).