Case management for modern SOCs can be a maze of endless alerts, overwhelming data, and intense pressure. Legacy solutions often exacerbate these issues with rigid workflows, limited automation capabilities, and a lack of real-time adaptability, leaving teams ill-equipped to handle the growing complexity of threats. The volume of cases, manual workflows, and processes leave analysts overwhelmed, exhausted, and struggling to keep pace.

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. Our previous blog post explored how planning with AI systems can set the stage for smooth collaboration between humans and machines. However, a solid plan alone isn’t enough.

With widespread remote work and global access, organizations face mounting challenges in securing user identities against sophisticated threats. One critical identity risk signal is impossible travel, where a user appears to log in from two unrecognized, geographically distant locations within an unrealistic timeframe, indicating the possibility of compromised credentials or session hijacking.

As C-suites and boards are bombarded with headlines about AI revolutionizing cybersecurity, it’s no wonder they’re putting pressure on SOC leaders to adopt AI. The promise of AI in the SOC is rightfully alluring. An AI-native autonomous SOC has the potential to create a world where AI Agents collaborate with each other to take care of repetitive tasks and handle the majority of low-level alerts, freeing your human team up for strategic, proactive work. The hurdle?

Meet Torq Socrates and learn how a Large Language Model (LLM)-powered AI SOC Analyst can revolutionize SecOps. Artificial intelligence (AI) in the SOC has generated significant hype in recent years, and separating the promise from reality can be challenging. However, at Torq, AI is not just a concept — it is a reality that is revolutionizing the SecOps field, specifically in the area of Tier-1 security analysis.

The rise of Non-Human Identities (NHIs) — think APIs, bots, service accounts, and machine identities — has expanded the attack surface in ways we’re only beginning to understand. NHIs now outnumber human identities in enterprise environments, often by a staggering ratio. While they streamline processes, enable scalability, and facilitate automation, these identities also present significant security risks.

This month, we’ve continued to expand Torq’s offerings. Discover the new workflow templates, intelligent integrations, and utility steps — all meticulously crafted to streamline security operations and amplify your team’s impact.

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.

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.

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.