Network policies are essential for securing your Kubernetes clusters. They allow you to control which pods can communicate with each other, and to what extent. However, it can be difficult to keep track of all of your network policies and to ensure that they are configured correctly. This is especially true if you have a large and complex cluster with more than 100 nodes. One way to address this challenge is to leverage Prometheus and AlertManager embedded in Calico Enterprise/Cloud.

In today's digital world, the stakes of data loss are high, and the cost of cybercrime continues to escalate. In fact, IBM recently estimated that the average cost of a data breach was $4.45 million in 2023, a 15% increase over the previous three years.

SecOps teams face an unyielding barrage of security signals raised by various systems and tools. It’s estimated that 56% of large companies receive 1,000 or more alerts per day. SOC analysts are expected to wade through these alerts and determine which ones are important, which are low priority, and which are imperative. According to IDC, 83% of cybersecurity employees say they’re struggling to cope with the overwhelming alert volume.

SIEM solutions operate based on thresholds. These thresholds serve as predefined benchmarks that generate alerts when the alert criteria is met. While effective to some extent, this approach falls short on multiple fronts, particularly in the context of sophisticated attacks and dynamic environments. Static thresholds falling short One of the fundamental flaws of static thresholds lies in their rigidity.

Alert fatigue is a long-standing problem in cybersecurity that only increases in severity as a company grows. In that sense, alert fatigue is inextricably tied to another challenge: the need for scalability in cybersecurity. Quite often, the remedy for both is to get help, such as with a managed detection and response (MDR) service that can triage, investigate, and respond to alerts. Market numbers help illustrate the scope of the issue.

Most security tools waste developers’ time. We’re on a mission to fix this. Application Developers aren't paid to care about security. Their performance is measured by the speed at which they can add value to the business through new features or enhancements. This makes traditional security tools a hindrance as they're not built for developers — plus, they're not designed to be helpful.

Artificial Intelligence for IT Operations (AIOps) is an advanced analytics and operations management solution that is designed to help organizations address the challenges of monitoring and managing IT operations in the era of digital transformation. AIOps leverages the power of Artificial Intelligence and Machine Learning Technologies to enable continuous insights across IT operations monitoring.