Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Hyper-AUTO-Mation: Why Carvana's CISO Bet on Agentic AI for 5x SOC Efficiency

CISOs everywhere are feeling the AI fatigue. Every vendor at Black Hat 2025 was hyping ‘AI agents for SecOps,’ so there’s rightfully a lot of skepticism about deploying AI in production, especially in enterprise environments. But the old way of running a SOC just isn’t working anymore. After all the time and money spent on traditional playbooks, we’re still wrestling with the same challenges: alert fatigue, burnout, tool sprawl, and inability to scale.

How to reduce alert overload in defence SOCs

AI-powered triage, faster insights, and the headspace your analysts need If you’re a security leader or analyst within the defence space, you likely brace yourself for a daily battle with alert overload — and you’re not alone. Analysts face a relentless flood of notifications with the majority turning out to be false positives. Studies show that 71% of SOC personnel1 experience burnout and report feeling overwhelmed by alert volume.

Cut SOC Alert Fatigue with Smarter Detection Architecture

In many organisations, the security operations centre (SOC) is overwhelmed. The volume of alerts coming from tools like Sentinel, Defender for Endpoint, and Cloud Apps is high—and growing. Spending more time triaging noise than they are stopping real threats, does this sound familiar? This isn’t about analyst headcount or tool choice. It’s about architecture.

From alert fatigue to action: Smarter SOC workflows for defence teams

Free your analysts to focus on what really matters: security outcomes. Security teams in the UK Ministry of Defence (MOD) are facing a dual burden: the growing volume and sophistication of cyber threats and the relentless operational grind of triaging alerts, managing compliance, and stitching together intelligence from fragmented systems. The reality is clear: Traditional security operations center (SOC) workflows aren't built for today’s pace and quantity of threats.

Fidelis Elevate Deep Visibility: The Force Multiplier for Modern Security Operations

Security teams struggle to detect and respond to attacks across expanding environments. Cloud systems, digital initiatives, and IoT devices have created complexities where standard security fails. Meanwhile, attackers remain hidden while security staff drown in alerts without adequate visibility.

Torq + SSDLC: Where Secure Automation Begins

Legacy SOAR solutions emerged in an era of traditional, static on-premises networks with fewer sophisticated threats. But today’s cybersecurity landscape is dramatically different — attack surfaces rapidly evolve, threats are multifaceted, and cybersecurity talent is increasingly scarce. As organizations struggle with sprawling security stacks and burned-out SOC teams, legacy SOAR solutions reveal their significant limitations.

How the Behavioral Detection Engine Delivers Aurora Endpoint Detection and Response Capabilities

This video will demonstrate the ability to configure detections and response actions in the Behavioral Detection Engine. This capability reduces investigation times and enables granular control of response, while still collecting high value telemetry.

Security Operations Center Best Practices to Boost Security & Automate Smarter

Patrick Orzechowski (also known as “PO”) is Torq’s Field CISO, bringing his years of experience and expertise as a SOC leader to our customers. PO is a seasoned security veteran with a deep understanding of the modern security landscape. You can find him talking to SOC leaders and CISOs from major brands at cybersecurity events around the world. Running a SOC isn’t for the faint of heart. I should know.