Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Alert fatigue is quietly draining security teams, slowing response times, and increasing business risk. As cyber threats rise and alerts multiply, organisations need smarter prioritisation and actionable intelligence, not more noise.

For managed security service providers (MSSPs), alert fatigue doesn’t just burn out your analysts: it’s a real risk to your business. From the financial costs of missed SLAs and security incidents to the customer trust lost when critical alerts are overlooked, alert fatigue negatively impacts customer outcomes, client retention, and your profitability.

In 2020, the SolarWinds compromise showed how far attackers can go when they look legitimate. Instead of breaking in loudly, threat actors tampered with trusted software updates and gained access that appeared routine to many defenses. The U.S. government later assessed that roughly 18,000 customers installed affected Orion updates, and a smaller subset experienced follow-on intrusion activity, often discovered only after time had passed.

For many organizations, the challenge isn't a lack of security tools, it’s the overwhelming "noise" those tools create. When your team is sifting through 12 million events per day, they are not doing anything else and are likely having tremendous difficulty finding threats. LevelBlue Managed Detection and Response (MDR) is an industry-leading service operated by the world’s largest pure-play Managed Security Services Provider (MSS) that will change that narrative.

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo Your SOC received 10,000 alerts yesterday. How many were real threats? Most SOC teams operate in a constant state of triage. Alerts pour in from dozens of tools, each one demanding attention, each one potentially critical. The reality? Your analysts are making high-stakes decisions about which alerts to investigate based on gut instinct and whatever time they have left in their shift.