Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo The first half of 2026 is coming to a close. And unless you live under a rock, there is only one takeaway: The AI SOC revolution is here, and Torq is winning.

When AI agent workloads start generating more alerts than your SOC can keep up with, the instinct most teams reach for is to deploy more triage on top of what they already have. If the SIEM is producing thousands of atomized alerts, plug in something downstream that can cluster, prioritize, and auto-resolve them faster than a human can. The market has consolidated around exactly this answer.

Most enterprise fraud stacks are built to detect account takeover after it’s already succeeded. Login anomaly rules fire at authentication. Transaction models fire at monetization. By both points, the attacker is already inside. Knowing how to detect account takeover in real-time means shifting detection upstream – to behavioral signals, device trust, credential exposure feeds, and session integrity monitoring that activate before any fraudulent transaction is attempted.

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.