Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Economics of an Agentic SOC: How AI Reduces Security Operations Costs

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo This article was originally published on Security Info Watch. Running a SOC has never been cheap — but in 2026, it’s become unsustainable. The combination of surging alert volumes, rising labor costs, sprawling tool stacks, and skyrocketing breach expenses has pushed the traditional model to the breaking point.

10 AI SOC Benefits That Actually Transform Security Operations

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo Your SOC is drowning. Industry estimates suggest that up to 60% of SOC analyst time is spent on Tier 1 triage, leaving less time for addressing real threats. According to Splunk’s State of Security 2025 report, 59% of security teams report being overwhelmed by too many alerts, and 55% waste precious hours chasing false positives.

The Week Torq Became a Unicorn - And What It Means for the Future of SecOps

$140 million Series D. $1.2 billion valuation. A Nasdaq takeover. Trevor loose in Manhattan. It’s been a week. From Bloomberg breaking the news to our Torq skeleton on screen through Times Square, Torq’s unicorn moment played out across every major business and cybersecurity outlet — and a few NYC sidewalks. But beyond the headlines (and the chaos), the coverage revealed something bigger: the market has officially declared that the AI SOC is the future of security operations.

Alert Fatigue Is Killing Your SOC. Here's What Actually Works in 2026.

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.