Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Data is the critical foundation for all organizations, powering innovation, decisions, and growth. It’s also the fastest-growing attack surface, with sensitive information scattered across clouds, on-premise servers, and SaaS platforms. Cyera, the leader in modern data security, provides rich visibility into sensitive data down to its DNA level, providing vital context, identifying data risks and vulnerabilities, and delivering SOC teams a clear map of their data attack surface.

SOAR is dead-dead (too inflexible, too complex, and too limited on integrations) — but it’s not quite buried in some SOCs where it’s only hanging on because migrating can feel daunting when mission-critical workflows are tied to the system. AI-driven Hyperautomation from Torq is the SOAR killer. Our team has helped major enterprises from every industry make the switch, quickly and easily, to achieve true SOC transformation. We chatted with Mark Carosella, Sr.

The 2024 SANS Detection and Response Survey sheds new light on some all-too-familiar security challenges: security operations teams are overwhelmed with alerts, struggling to respond fast enough, and tracking the wrong KPIs. Sure, automation adoption is increasing (64% of organizations now leverage it in some capacity), but most SecOps teams are still operating in slow, reactive, and heavily manual environments.