Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Expanding the Castle: New Campaigns, New Tooling, and the NeedleStealer Connection

Arctic Wolf Labs has been tracking a cluster of campaigns built around CastleLoader, a multi-stage shellcode loader that has served as the backbone of a number of related intrusion sets over the past year. Previous reporting from Huntress documented the.NET-based CastleStealer (net40), and LevelBlue documented the PythonRAT observed in related campaigns. Both reports noted NetSupport RAT as a common final payload.

Cybersecurity Checklist for MSSPs

Managed Security Service Providers (MSSPs) operate across a broad, complex attack surface, simultaneously managing privileged access to multiple client environments while maintaining the security of their own infrastructure. This dual responsibility makes MSSPs valuable targets for attackers who understand that compromising just one MSSP can grant them entry into every client network the provider manages.

Fast Remediation Is the New Trust Model: JFrog and OpenAI Collaboration on Zero-Day Security Findings

Just last week, OpenAI and Hugging Face jointly disclosed what may be the first incident of its kind: during an internal evaluation of frontier cyber capabilities, OpenAI’s models, running deliberately without production safeguards in an isolated research environment, autonomously discovered and employed chained vulnerabilities to escape its sandbox, reach the open internet, and extract evaluation answers from Hugging Face’s infrastructure.

Endpoint DLP vs SaaS DLP: Choosing the Right Data Protection

Most data loss prevention (DLP) programs start with a budget decision disguised as an architecture decision. Cover the SaaS layer first, since that is where most collaboration tools live, or cover the endpoint first, since that is where users actually act on data. Whichever layer gets funded first tends to become the program's foundation by default, not by design. That default has unintended consequences for data security.

What is data security and how does it work?

Quick definition Data security is the practice of protecting digital information from unauthorized access, corruption or theft across its entire lifecycle, from creation and storage to transmission and disposal. It combines technical safeguards such as encryption, administrative safeguards such as policy and training, and physical safeguards such as facility access control.

How to create risk reports for operations, executives, and auditors

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Securing Your SaaS Payment Infrastructure

For any Software-as-a-Service (SaaS) business, the payment system is what keeps revenue flowing. But its importance goes beyond just processing transactions. A secure and reliable payment system builds customer trust and protects your business's integrity. If you fail to protect this crucial part of your business, you risk not only financial losses but also lasting damage to your company's reputation.

Securing Digital Identities Against Emerging Cyber Threats

As more of our lives move online, from banking and shopping to using government services, our digital identity has become incredibly valuable. Protecting it isn't just about using a strong password anymore. Cybercriminals are using more advanced tactics, which means security measures constantly need to evolve to keep up. This includes developing better threat detection systems, using multi-factor authentication, and adding subtle protections like browser checking to confirm who a user is.

How to Use AI to Create Better Video Content

Video content is the most effective way to reach people online. It grabs attention and helps you share your message quickly. For a long time, making high quality videos was difficult. You needed expensive cameras, powerful computers, and years of training. Now, artificial intelligence is making it possible for anyone to produce amazing clips. You can save time and money by using these new tools. This guide will show you how to start using AI to improve your creative process.

Securing Your Data Pipeline from Internal Threats

When organisations design security strategies, they often focus on building a fortress to keep external threats out. However, some of the biggest risks to data integrity don't come from outside; they start within. Securing a data pipeline, the complex system that moves information from source to destination, needs strong defences against internal threats, whether they're intentional or accidental.