NR language agents can therefore be configured to ignore certain errors by HTTP status code or error class. The result is that errors are still sent to New Relic, but are prevented from affecting error rate or appearing in errors inbox.
Attack Surface Management (ASM) tools promise reduced risk. What they usually deliver is more information. Security teams deploy ASM, asset inventories grow, alerts start flowing, and dashboards fill up. There is visible activity and measurable output. But when leadership asks a simple question, " Is this reducing incidents?" the answer is often unclear. This gap between effort and outcome is the core ROI problem in attack surface management, especially when ROI is measured primarily through asset counts instead of risk reduction.
A comprehensive survey of 282 security leaders at companies across industries reveals a stark reality facing modern Security Operations Centers: alert volumes have reached unsustainable levels, forcing teams to leave critical threats uninvestigated. You can download the full report here. The research, conducted primarily among US-based organizations, shows that AI adoption in security operations has shifted from experimental to essential as teams struggle to keep pace with an ever-growing stream of security alerts.
A new survey confirms what many IT pros already know: downtime doesn't exist, with dashboards and alerts intruding on their free time. More than half of the 616 IT professionals surveyed (52 percent) said they checked dashboards during nights, weekends, or vacations, with 59 percent saying past outages had left them more obsessive about making sure that everything is working. A third of IT pros said they felt compelled to check in at least once an hour.
