Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Every organization faces ransomware, but not every organization is prepared to handle it. The CrowdStrike State of Ransomware Survey explores the substantial gap between confidence in global businesses’ ransomware readiness and their actual preparedness — a gap poised to grow as adversaries use AI to launch faster, stealthier attacks.

The latest CloudCasa Feature Update introduces a range of powerful new features and improvements that every user should know about. This release delivers major advancements in Kubernetes disaster recovery and backup flexibility, helping organizations recover faster, simplify management, and protect workloads across diverse environments.

Organizations continue their digital transformation, with APIs now serving as the main communication links between applications, platforms, services, and partners. The widespread use of APIs introduces new security risks despite their common presence. The growing number of APIs significantly increases the cyber risks that security teams must address as they keep up with technological advances.

Arctic Wolf Labs has identified and analyzed a new malware loader we’re calling Caminho, a Brazilian-origin Loader-as-a-Service (LaaS) operation employing Least Significant Bit (LSB) steganography to conceal.NET payloads within image files hosted on legitimate platforms.

Stopping a cyber incident and restoring operations requires more than technology — it depends on having the right plans, people, and processes working together under pressure. Effective incident response (IR) readiness helps position your organization to act with precision to contain threats, prevent escalation, and return to normal operations quickly. A cornerstone of a mature IR strategy is the tabletop exercise.

Cybercriminals are taking stealth to new levels. According to WatchGuard Technologies’ latest Internet Security Report, evasive malware attacks jumped 40% in Q2 2025, driven by a sharp rise in threats delivered over encrypted connections. While Transport Layer Security (TLS) encryption is essential for protecting users, attackers are increasingly exploiting it to conceal malicious payloads and evade traditional detection methods.

AI systems learn from vast amounts of data and then generalize. That power is useful and also risky. Sensitive data can slip into prompts. Proprietary datasets can be memorized by models. Attackers can steer models to reveal secrets or corrupt results. Meanwhile, your company is probably experimenting with multiple AI tools at once. That creates hidden data flows and inconsistent controls. “Traditional” app security isn’t enough.

PCI DSS 4.0.1 compliance becomes manageable once you recognize that each tool protects a different layer, and the strongest programs combine them thoughtfully. With Requirements 6.4.3 and 11.6.1 now bringing the browser into focus, organizations can finally see the complete picture they need.

Most organizations begin their PCI DSS planning with what’s easiest to define: the Qualified Security Assessor (QSA) fee. As the process unfolds, other costs come into view, from mapping data flows to preparing evidence. Seeing the full picture early helps teams plan with confidence.

Every time you leave your home, you take various risks, like being in a car accident or being struck down by a meteor. In some cases, like the meteor, the likelihood of the event is so low as to be nearly nonexistent. In others, like the car accident, the likelihood might be higher. Similarly, every technology that you connect to your networks creates a cybersecurity security risk. Any device or application that connects to the public internet can be an entry point for attackers.