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The current SOC model relies on a scarce resource: human analysts. These professionals are expensive, in high demand, and increasingly difficult to retain. Their work is not only highly technical and high-risk, but also soul-crushingly repetitive, dealing with a constant flood of alerts and incidents. As a result, SOC analysts often leave in search of better pay, the opportunity to move beyond the SOC into more rewarding roles, or simply to take much-needed breaks. This high churn rate puts the SOC in a vulnerable position, jeopardizing the overall effectiveness of cybersecurity operations. To keep your team resilient and maintain operational efficiency, it's essential to take proactive steps to reduce burnout and improve retention. Here are five strategies that can make a difference. Why Analyst Burnout Matters More Than Ever SOC analyst burnout is becoming a critical issue as the cybersecurity landscape evolves. Security Operations Centers (SOCs) face a growing number of daily al...

John Hanley of IBM Security shares 4 key findings from the highly acclaimed annual Cost of a Data Breach Report 2023 What is the IBM Cost of a Data Breach Report? The IBM Cost of a Data Breach Report is an annual report that provides organizations with quantifiable information about the financial impacts of breaches. With this data, they can make data driven decisions about how they implement security in their organization. The report is conducted by the Ponemon Institute and sponsored, analyzed, and published by IBM Security. In 2023, the 18th year the report was published, the report analyzed 553 breaches across 16 countries and 17 industries. According to Etay Maor, Senior Director of Security Strategy at  Cato Networks , "We tend to talk a lot about security issues and solutions. This report puts a number behind threats and solutions and provides a lot of information to support claims of how a threat actor, a solution or a process impacts you financially." Key Finding #1:...

In recent years, artificial intelligence (AI) has begun revolutionizing Identity Access Management (IAM), reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that could signal a potential security breach. The focus has expanded beyond merely managing human identities — now, autonomous systems, APIs, and connected devices also fall within the realm of AI-driven IAM, creating a dynamic security ecosystem that adapts and evolves in response to sophisticated cyber threats. The Role of AI and Machine Learning in IAM AI and machine learning (ML) are creating a more robust, proactive IAM system that continuously learns from the environment to enhance security. Let's explore how AI impacts key IAM components: Intelligent Monitoring and Anomaly Detection AI enables continuous monitoring of both human and non-human identities , including APIs, service acc...