Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Solving the SOC Data Problem: How Modern SIEM Platforms Cut Noise Without Cutting Visibility

Security teams have a data problem, not a detection problem. Most SOCs today aren't short on logs - they're drowning in them. Every firewall, endpoint, identity provider, and cloud workload generates a steady stream of events, and somewhere inside that noise sits the handful of signals that actually matter. The challenge isn't collecting more data. It's finding the right data fast enough to act on it.

Proving the value of security operations with Christopher Crowley [344]

Today we're speaking with Christopher Crowley, cybersecurity consultant through Montance and Senior Instructor with the SANS Institute, about the value of cybersecurity operations — how to measure it, how to express it to the business, and how AI is changing the work of the SOC.

Cybersecurity Threat Detection: A SOC Guide for 2026

You're probably living this already. Your SIEM is collecting more logs than anyone can read, your endpoint tool is firing alerts that look urgent until they aren't, and someone on the leadership team keeps asking whether the organization is “covered” without defining what covered means. That's the pressure behind cybersecurity threat detection in 2026. Teams don't need another disconnected console.

Is an AI SOC Better Than MDR? What Security Teams Should Weigh

Security teams are expected to investigate more alerts than they have people to handle. IBM's 2025 Cost of a Data Breach Report puts a number on what that gap costs: organizations take an average of 158 days to identify a breach, and a further 83 days to contain it. That is 241 days of exposure, the fastest pace in nine years, and still measured in months. For most SOC teams, the bottleneck was never finding threats. It was having enough people to do anything about them.

Arctic Wolf Cocktail Chats - Nick Schneider, President & CEO | Black Hat 2026

Arctic Wolf President & CEO Nick Schneider sits down with Ilina Cashiola, SVP of Corporate Marketing, for a cocktail chat at Black Hat USA 2026 to break down three major announcements shaping the next chapter of AI-led security operations.

Arctic Wolf Cocktail Chats - Dan Schiappa, President, Technology & Services | Black Hat 2026

Arctic Wolf President of Technology & Services Dan Schiappa sits down for a cocktail chat with Arctic Wolf SVP of Corporate Marketing Ilina Cashiola at Black Hat USA 2026 to break down the momentum behind the Aurora Agentic SOC and what's next for AI-led security operations.

Super Instinct Meets Super AI | Arctic Wolf Aurora

Attackers are using AI to move faster, scale broader, and automate attacks at machine speed, but no one wants fully autonomous AI making high-stakes decisions unchecked. There's a better way: Super Instinct meets Super AI. Meet the Aurora Agentic SOC, the world's largest commercial agentic SOC, built on the Aurora Superintelligence Platform. The completely new operating model pairs human instinct with AI-powered security operations to outperform human-only and AI-only approaches alike.

Torq Named a Leading Innovator in SACR 2026 AI SOC Market Report

Software Analyst Cyber Research (SACR) just published its 2026 AI SOC Market Report, offering an independent assessment of vendors competing in what has rapidly become the most consequential category in enterprise security. Torq features prominently, and the report’s framing is worth unpacking because it illuminates what makes the AI SOC category hard to evaluate and why Torq’s approach is consequential.
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Solving the SOC Data Dilemma: Maximising Detection Without Maximising Cost

Today's Security Operations Centres (SOCs) operate under the pressure of data proliferation, high alert volumes, and tight budgets. Most SOC leaders face a data dilemma: they must choose which data to analyse and which to ignore. That choice directly determines threat detection capabilities and impacts the security posture of the business.