Alerting

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.

Ingesting data in the security world is only half of the battle. The second half is fought over insight generation. As security professionals, we understand that every second we spend creating dashboards, alerts, or parsing rules is a potential window of vulnerability, assuming this capability even exists within the organization.

Why do 67% of SOC analysts feel like a new job or even a new career sounds like a good idea right now? The reason: alerts. Or, to be more specific, the fact that the time it takes for SOC analysts to deal with security alerts and tickets exceeds the amount of time they have available. The name for this phenomenon is alert fatigue.

In the realm of cybersecurity, Security Information and Event Management (SIEM) systems are indispensable tools for monitoring and analyzing an organization’s security posture in real-time. However, one of the hurdles that security professionals often encounter is the prevalence of false positives which can overwhelm analysts and obscure genuine threats.