Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Organizational perimeters have transformed. From IoT devices and cloud infrastructure to APIs and microservices, today’s perimeters bear little resemblance to those of even the recent past — and one result of these transformations are organizations’ vastly expanded attack surfaces. Additionally, the adoption of hybrid work has imposed new requirements and introduced new challenges that influence perimeter architecture and tooling.

CIEM vs. PAM, which one to go for? Both are cloud access management solutions, but differ in certain aspects. Where CIEM works on handling cloud entitlements, PAM focuses on securing credentials in a vault, and controlling privileged access.

Cybersecurity professionals encounter two primary categories of denial-of-service threats: traditional denial of service (DoS) and distributed denial of service (DDoS) variants. DoS attacks stem from a single system, while DDoS campaigns leverage multiple machines to overwhelm the target. The fundamental difference? Scale and coordination complexity. Both DoS and DDoS attacks are a type of malicious attempt to disrupt services.

Let’s face it—cybersecurity is no longer a game of building taller walls or thicker locks. The old rules, the ones based on the idea that threats come only from outside, just don’t hold up anymore. In today’s digital world, where employees connect from anywhere, apps live in the cloud, and attackers can sit quietly inside your systems for weeks, trust has become a loaded word.

AI should be capable of learning, generalizing, or spotting patterns beyond what’s been explicitly coded.

Kubernetes Network Policies (KNP) are powerful resources that help secure and isolate workloads in a cluster. By defining what traffic is allowed to and from specific pods, KNPs provide the foundation for zero-trust networking and least-privilege access in cloud-native environments. But there’s a problem: KNPs are risky, and applying them without a clear game plan can be potentially disruptive.