Cybersecurity's role in geopolitics is growing more significant by the day. In a world of increasingly sophisticated cyber threats, governments worldwide are recognizing the impact digital attacks can have on national security, trade, and infrastructure. This has never been more evident than with the recent introduction of the Protecting Investments in Our Ports Act by U.S. Senators John Cornyn (R-TX) and Gary Peters (D-MI), along with U.S.

The dynamic world of Kubernetes and cloud security is constantly evolving. As we explore this complicated ecosystem, it’s crucial to understand the role of policy as code (PaC) and its impact on operations and security teams. Emerging from the broader paradigm of infrastructure as code (IaC), PaC represents a significant shift in how we manage and secure cloud-native environments.

With 16+ billion mobile devices in use worldwide, new data sheds light on how cyber attackers are shifting focus and tactics to put attacks into the victim’s hands. There’s an interesting story woven throughout mobile security provider Zimperium’s 2024 Global Mobile Threat Report that demands the attention of organizations intent on securing every attack vector – which includes personal mobile devices.

Previously, Trustwave SpiderLabs covered a massive fake order spam scheme that impersonated a tech support company and propagated via Google Groups. Since then, we have observed more spam campaigns using this hybrid form of cyberattack with varying tactics, techniques, and procedures (TTP). Between July and September, we witnessed a 140% increase in these spam campaigns. In this blog, we will showcase the different spam techniques used in these phishing emails.

Agent Tesla is an advanced piece of malware that functions as a keylogger and RAT (remote access trojan). The malware was first identified in 2014. They are crafted to infiltrate systems and seize sensitive information like usernames, passwords, and other private data mainly by logging keystrokes. This kind of spyware works secretly in the background, which is difficult to detect for the users.

These days, your organization's data is its most valuable asset. But what happens when that data slips through your fingers? Picture this: It's Friday afternoon, and your security team receives an alert about an unusual number of downloads from your cloud storage app, Google Drive. As you investigate, you realize it's corporate IP that's being downloaded en masse by a departing employee. This type of exfiltration incident isn't just hypothetical; it's a reality that organizations face on the daily.

A unique attribute of the current commercial and public sector is the convergence of warfare principles with information technology operations and security. In the realm of modern warfare, uncertainty is a constant companion. The term “fog of war,” coined by the Prussian military theorist Carl von Clausewitz, encapsulates the chaos and unpredictability inherent in military operations.

Containers are transforming how enterprises deploy and use applications - their efficiency and cost-effectiveness making them a cornerstone of modern IT strategies. Compared to traditional virtualization, where the server runs a hypervisor, and then virtual machines with entire guest operating systems and software run on top of the hypervisor, containers allow more versatility since they simplify management and provide faster provisioning of applications and resources.

We’ve just released the 2024 State of Cloud Security study, where we analyzed the security posture of thousands of organizations using AWS, Azure, and Google Cloud. In particular, we found that: In this post, we provide key recommendations based on these findings, and we explain how you can use Datadog Cloud Security Management (CSM) to improve your security posture.

Deploying large language models (LLMs) securely and accurately is crucial in today’s AI deployment landscape. As generative AI technologies evolve, ensuring their safe use is more important than ever. LLM guardrails are essential mechanisms designed to maintain the safety, accuracy, and ethical integrity of these models. They prevent issues like misinformation, bias, and unintended outputs.