Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Product Spotlight: Building an AI-driven SOC at scale, with Reddit

Your security team is one-of-a-kind. Your AI SOC should be too. Join Thomas Kinsella, Co-founder and Chief Customer Officer at Tines, and Nick Fohs, Senior Manager, Enterprise Systems & Security, at Reddit, for a conversation around building and scaling an AI SOC - one that’s adaptable to your evolving needs. They’ll share how you can maximize your investments and the efficiency of your SOC by combining predictable, rule-based workflows with fully autonomous agents.

Reco + Torq: Dynamic SaaS Security, Fully Automated

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo Torq AMP spotlights the partners redefining what’s possible in security operations. Each partner brings a unique strength that seamlessly extends Torq’s autonomous SOC platform. Together, these partnerships help SOC teams achieve speed, accuracy, and scale that were once out of reach. Explore the future of SOC in the AMP’d Sessions video series.

Navigating AI risks: understanding and mitigating prompt injection

AI is becoming a routine part of technical operations. Teams use models to support ticket triage, incident routing, knowledge retrieval, code analysis, and customer interactions. As these agents move closer to production workflows, the conversation about security becomes much more important. One of the most persistent and widely misunderstood issues is prompt injection. It is not a vulnerability that can be fully patched or trained away.

Survive the Holiday SOC Nightmare with Automation

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo If you’re a CISO, your holiday season is probably defined by two things: family time and anxiety. Cybercriminals don’t celebrate the holidays. They know your SOC staff is running on fumes, paid-time-off accruals, and maybe checking 3am Slack messages from a ski slope. They strike when you are weakest.

Torq HyperAgents: The Next Evolution of Agentic SecOps

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo Tal Benyunes was one of the first engineers at Torq and now leads Product for HyperAgents, Torq’s agentic AI initiative. Shaped by early career roles in mission-critical cybersecurity environments and leading companies, Tal brings deep technical expertise and strategic insight to the development of AI Agents.

What's new in Tines: November 2025 edition

Using the AI Agent action, you can now connect to and utilize tools from MCP servers. This connection allows you to extend the reach of your workflows by bridging the gap between Tines and your AI implementations. Whether using a remote server or one created in Tines, the opportunity to do more is at your fingertips. Read the docs for more information.

Control Systems and Key Technologies of Intelligent Cranes

With the advancement of factory automation, the control of overhead cranes has been continuously evolving, gradually shifting from traditional manual operation to automation, intelligent control, and remote management. By leveraging automation, information, intelligent control, and Internet technologies, the operation and management of overhead cranes can transition from purely manual operation and inspection to automated operation, online monitoring, remote maintenance, and technical support, thereby forming a complete intelligent control platform and enhancing crane performance and market competitiveness.

From reactive to resilient: Transforming infrastructure management with intelligent workflows

Infrastructure has always been the backbone of IT Operations, but its scope has expanded dramatically. Gone are the days when infrastructure meant only racks of on-premise servers and storage arrays. For many businesses, today's reality is a sprawling, interconnected landscape encompassing multi-cloud environments, modern software-as-a-service (SaaS) platforms, traditional data centers, and emerging edge workloads.

Best Practices for Secretless Engineering Automation

A CI/CD pipeline deploying to production. A nightly database backup job. An AI agent performing maintenance tasks. New opportunities for engineering automation emerge every day. However, many of these workflows depend on stored secrets like hardcoded credentials, API keys, and long-lived tokens for privileged access.