Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Managed detection and response (MDR) providers faceskyrocketing demand and rising stakes. The MDR market is projected to grow to $11.8 billion by 2029 (up from $4.1 billion in 2024), a 23.5% compound annual growth rate driven by the intensifying landscape of advanced threats and sophisticated attacks, as well as ongoing cybersecurity talent shortages.

The cybersecurity lifecycle is the foundation of how security teams protect, detect, and recover from threats. From asset discovery to post-incident recovery, the lifecycle defines the processes organizations rely on to safeguard data and systems. But here’s the challenge: While the lifecycle provides a roadmap, operationalizing it in modern SOCs is messy. Disconnected tools, alert fatigue, and endless manual tasks slow down response times and create gaps that attackers exploit.

MITRE ATT&CK has become the de facto SOC framework for classifying adversary behavior — and for good reason. It gives SOC teams a common language to describe threats, uncover gaps, and fine-tune detection logic. But let’s be honest: mapping real-world activity to ATT&CK tactics and techniques is still a time-consuming grind.

Konstantin (Kostya) Ostrovsky is the Chief Architect at Torq, where he leverages over 18 years of experience in software engineering and architecture. He specializes in cybersecurity, with a background that began with writing Windows Kernel Drivers. Konstantin is also a frequent speaker at software engineering conferences globally. Phishing attacks have evolved significantly in recent years, rendering traditional, rule-based defenses ineffective against sophisticated threats.

The SACR 2025 AI SOC Market Landscape Report just dropped, and Torq was named one of the “most feature-rich platforms” on the market. Not because we bolted a chatbot onto triage. But because we’ve built an AI SOC platform modern security teams actually need: an AI-native, execution-first infrastructure that operationalizes intelligence at scale. And that platform works.

Forget drawn-out SOAR integrations, endless proof-of-concepts, and prolonged vendor lock-ins. Most cybersecurity teams have the tools — what’s missing is an integration platform and reliable guidance that can rapidly tie it all together and deliver tangible results. Torq is designed precisely for that: we blend AI-native capabilities, no-code Hyperautomation, and unparalleled success enablement to transform your security operations into a fully autonomous, modern SOC within just three months.

The SANS 2025 SOC Survey is a reality check: despite years of investment in shiny new tools and all the talk of AI and automation, most security teams are stuck in firefighting mode, drowning in unstructured data, and burning out talent. The tools may be new, but under the hood, most SOCs still struggle with the same structural issues they were five years ago: reactive workflows, manual processes, and underwhelming AI adoption.

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.

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.