Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

SecOps

Building a Modern SOC: Architecture, Challenges, and Success Stories

What does it take to create a truly modern Security Operations Center (SOC)? In this session, we’ll dive into the essential components and architecture that define a cutting-edge SOC, exploring the challenges that organizations face during the modernization process. Through real-world examples, we’ll showcase how forward-thinking clients are successfully navigating these challenges and transforming their SOCs into modern security powerhouses.

5 Secrets of a SOC Leader Turned Field CISO

Torq is thrilled to have Patrick Orzechowski (also known as “PO”) on board as our new Field CISO, bringing his expertise and years of experience as a SOC leader to our customers. PO is a seasoned security veteran with a deep understanding of the modern security landscape. By way of introduction, below he shares his five top pieces of advice for SOC leaders facing today’s security challenges.

Building Powerful CrowdStrike Automations: Insights from Fal.Con 2024

This sentiment expressed by Fiverr’s VP of Business Technologies perfectly reflected the energy at the Fal.Con 2024 Torq booth and struck a chord with security teams using CrowdStrike’s powerful tools. Detection isn’t the problem — CrowdStrike excels at that. The challenge lies in automating what happens next.

Planning with AI: Minimizing Uncertainty, Maximizing Trust

Gal Peretz is Head of AI & Data at Torq. Gal accelerates Torq’s AI and data initiatives, applying his deep learning and natural language processing expertise to advance AI-powered security automation. He also co-hosts the LangTalks podcast, which discusses the latest AI and LLM technologies. To stay ahead of today’s threats, you must do more than keep pace — you need to equip your team with tools that enable smarter, faster responses.

Take Control with Torq's AI Data Transformation

Data interoperability is the backbone of building reliable and efficient hyperautomated workflows. However, manipulating and formatting massive amounts of data from various sources — especially in complex JSON files — can feel overwhelming and consume significant time and resources, particularly for those still gaining technical expertise. Teams often lack or have maxed out dedicated resources to wrangle this data.