Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Securing GenAI Code: Manage Risk from Code to Cloud

The productivity revolution promised by AI coding assistants has arrived. Developers are shipping features faster than ever, with tools like GitHub Copilot, Amazon CodeWhisperer, and Claude Code becoming as essential to modern development as Git itself. But beneath this velocity lies a troubling reality that every security leader needs to confront: we’re scaling security debt at unprecedented speed.

From 24/7 On-Call to Holidays Off: AI SOC Automation Results from Three Security Teams

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo John White is the Field CISO for EMEA at Torq. A respected security executive with more than 20 years of leadership experience, John previously served as CISO at Virgin Atlantic, where he led a multi-year transformation deploying the Torq AI SOC Platform to modernize cyber operations.

AI Receptionists and the Expanding Attack Surface: What Security Teams Need to Know

AI receptionists are quickly becoming the front line of customer interaction, handling calls, capturing data, and integrating directly with business systems. But as organizations rush to adopt AI-powered customer service, a critical question is emerging: Are we securing these systems as rigorously as we deploy them? Because every AI receptionist isn't just a convenience, it's also a new attack surface.

You're Not Watching MCPs. Anthropic's Vulnerability Shows Why You Should Be.

Last week, researchers at OX Security published findings that should stop every security leader in their tracks. They discovered a critical vulnerability baked directly into Anthropic's Model Context Protocol SDK, affecting every supported language: Python, TypeScript, Java, and Rust. The result: remote code execution on any system running a vulnerable MCP implementation, with direct access to sensitive user data, internal databases, API keys, and chat histories. Over 7,000 publicly accessible servers.

AI SecOps Worskhop Series: Accelerating Cloud Security Operations with Claude Code and LimaCharlie

In this workshop we will show how to use Claude Code with LimaCharlie to accelerate cloud security operations. We will have Claude Code deploy agents, create detections and identify issues before they become incidents. This hands-on workshop is designed to demonstrate the transformative power of integrating Anthropic's Claude Code, with the versatile security platform, LimaCharlie. Our focus will be on leveraging the capabilities of Claude Code to significantly accelerate and streamline various aspects of cloud security operations, turning reactive tasks into proactive, automated workflows.

Logging Is Not Observability: The AI Security Gap MSSPs Can't Ignore

Every MSSP is fielding the same question from clients right now:"Are we safe with AI?" Most are answering with some version of"yes, we're logging everything." In a recent Defender Fridays episode, Saurabh Shintre, Founder and CEO of Realm Labs drew a hard line between these two concepts."You can log prompt and response and this bare minimum you have to do.

Defending at Machine Speed in the Autonomous Age

Frontier AI models are accelerating the discovery of new vulnerabilities combined with the ability to exploit those weaknesses at speed and scale. This alone isn’t the problem. Trust in AI‑driven security outcomes is. With AI dominating headlines, security leaders are asking what models like Mythos or GPT‑5.4‑Cyber mean for their business. The real issue runs deeper. Teams need to be able to trust tools and technology that move at machine speed.