Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security operations have never been more complex. Analysts face more alerts, more tools, and more pressure to make the right decision at the right moment. The work feels less like running a security program and more like trying to keep an orchestra in sync while each musician plays from a different sheet of music. This is the challenge Sam was created to solve. Sam, the Securonix AI SOC Analyst, acts like a skilled conductor guiding a symphony.

Across Europe and beyond, regulatory frameworks are reshaping how and where organizations manage data. These laws establish enforceable standards for data sovereignty, data governance, and data privacy that directly influence cloud architecture, security strategy, and AI innovation. Without these regulations, you run the risk of these organizational consequences: Data management shouldn’t be considered as only a task for IT. It’s a board-level priority.

AI accelerates detection, but human analysts deliver context, judgement and strategic insight. In modern cybersecurity, the real advantage lies in combining both.

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo.

Cisco Live EMEA 2026 Amsterdam has officially wrapped up, and the path forward is clear: we have entered the Agentic AI Era. The event was centered around an industry shift towards a unified platform where AI agents don't just respond; they act. At Forward Networks, we aren’t just watching this shift happen; we are providing the foundation required to make it a reality.

The rapid adoption of Large Language Models (LLMs) is transforming how SaaS platforms and enterprise applications operate. From embedded copilots and automated support agents to internal knowledge-base search and workflow automation, organisations are increasingly integrating LLM APIs into existing services to deliver faster and more intuitive user experiences.

The promise of AI-driven development is speed. But security teams face a binary choice: slow down the AI train to ensure safety, or let it run wild and accumulate risk. At Snyk, we believe you shouldn't have to choose.