Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

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.

When a cyberattack occurs, every second counts. Metrics like Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR) are critical benchmarks in cybersecurity, helping organizations evaluate the effectiveness of their Security Operations Centers (SOCs). But what’s the difference between MTTD vs MTTR, and why do they matter?

If you’ve been in cybersecurity longer than five minutes, you know one thing: legacy SOC architecture isn’t just showing its age — it’s creaking under the weight of today’s threats. Cybersecurity analyst Francis Odum nailed it when presenting at Torq’s SKO 2025: “Legacy SOAR assumed everything starts in the SIEM. Now, teams connect automation directly to EDR, email, and identity systems.”.

Every day, analysts are buried under a mountain of low-value and often meaningless alerts. And they’re expected to triage, investigate, prioritize, and respond to all of them — faster, better, and with fewer people. With this comes cybersecurity alert fatigue, which can lead to missed threats, slower response times, and SOC analyst burnout. The good news is that SOC analysts don’t have to live like this anymore. Not if you have the right kind of AI working for you.

We live in a world where infrastructures reside entirely in the cloud, threats evolve faster than ever, and attackers never sleep. Manual security processes simply can’t keep pace. Cloud-native security automation is the critical solution for organizations to secure large attack surfaces.

Modern cloud threats move fast. Detection and response has to move faster. Wiz gives security teams the visibility and precision they need to detect real threats across sprawling cloud environments. Torq turns those threat detections into action — instantly. Together, they’re a cheat code for cloud security operations.

Many organizations come to Torq when they’ve hit a wall with their legacy SOAR platform. The migration to Torq isn’t just a technology upgrade — it’s an operational overhaul. With Torq, enterprises have replaced hundreds of rigid playbooks in weeks, dramatically reduced time-to-value, and unlocked capabilities that legacy SOAR could never support.