Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Your SOC exists for one core reason: to rapidly reduce the mean time to detect, investigate, and respond to threats. The more efficiently your team operates, the faster you reduce essential KPIs like MTTR, MTTD, MTTI, and what we call ‘MTTx’ (mean time to anything). Ask our Field CISO, Patrick Orzechowski (PO), and he’ll tell you straight: If your SOC isn’t relentlessly focused on reducing risk through speed, you’re falling behind. Talking about efficiency is easy.

Noam Cohen is a serial entrepreneur building seriously cool data and AI companies since 2018. Noam’s insights are informed by a unique combination of data, product, and AI expertise — with a background that includes winning the Israel Defense Prize for his work in leveraging data to predict terror attacks. As the Head of Artificial Intelligence at Torq, Noam is helping build truly next-gen AI capabilities into Torq’s autonomous SOC platform.

Retail companies are high-value targets for cybercriminals. With sprawling infrastructures, complex supply chains, and large amounts of customer data, retailers are a goldmine for bad actors. In 2024, the retail sector accounted for 24% of all cyberattacks — more than any other industry. The average cost of a data breach in retail rose to $3.28 million.

Security Operations Centers (SOCs) are the command center of an organization’s frontline cybersecurity defenses — responsible for monitoring threats, prioritizing alerts, and orchestrating remediation. However, today’s SOCs are facing an existential crisis: an overwhelming volume of increasingly complex and sophisticated threats combined with a shortage of skilled analysts.

Innovation in cybersecurity technology, particularly in security operations, is advancing at an incredible pace. The past few months have seen a surge in announcements of Agentic AI solutions and SOC Analyst AI Agents, transforming the landscape rapidly. At BlackHat USA 2023, Torq pioneered this space by introducing Socrates, the first AI Agent SOC Analyst. This highlights the remarkable acceleration of AI adoption in cybersecurity and the significant advancements made in a relatively short period.

IDC, Gartner, and Cyber Research Analyst Francis Odum validate Torq HyperSOC-2o for establishing the important building blocks for achieving the autonomous SOC. The autonomous SOC is here. It is no longer a distant reality, it’s not a pipe dream, and it’s certainly not just another cybersecurity buzzword.

The era of static playbooks and reactive security is over. A new generation of AI-driven security operations is emerging — one that combines cloud-native scale with intelligent, agentic automation to redefine how Security Operations Centers (SOCs) work. As CEO of Torq, I’ve had a front-row seat to this transformation. In speaking with countless CISOs and analysts, one theme rings loud and clear: We can’t fight modern threats with yesterday’s tools.

John Quinsey (also known as “JQ”) is a regional director at Torq with 25 years in software and SaaS sales, solving business problems with disruptive technologies. He firmly believes AI has the power to revolutionize modern security operations. Just five years ago, the average dwell time for a ransomware attack was seven months. Today, it’s five days and shrinking.

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.