Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Hidden Security Risks of Mobile Workforce Applications in Field Operations

Mobile workforce applications are a $7+ billion market, forming the backbone of modern field service, but they are also becoming the primary targets of sophisticated cyberattacks. For a field technician, a mobile device is a tool, like a wrench or a multimeter, yet it holds the keys to your entire customer database and internal financial records.

AI: The hero's journey with Ken Westin

Join us for this week's Defender Fridays as Ken Westin, Senior Solutions Engineer at LimaCharlie, shares his AI journey and what the hero's journey framework reveals about how security professionals can move from hesitation to genuine mastery of AI tools. At Defender Fridays, we delve into the dynamic world of information security, exploring its defensive side with seasoned professionals from across the industry. Our aim is simple yet ambitious: to foster a collaborative space where ideas flow freely, experiences are shared, and knowledge expands.

Agentic AI Security: Visibility and Control for AI Agents at Work

Security teams have spent years tracking what employees do with data. The harder problem now is tracking what agents do on their behalf. AI agents, whether running in an IDE, installed locally on a laptop, or connected to internal data through a model context protocol (MCP) server, operate with the permissions of the user who deployed them. They read files, query databases, call external APIs, and generate outputs. And in most enterprise environments, security teams have no reliable way to see any of it.

Meet GitGuardian's AI Assistant: Natural Language Queries Across All Your Incidents

See how the GitGuardian Assistant helps teams investigate, understand, and remediate secret incidents directly from the GitGuardian workspace. In this preview, Mathieu and Dwayne walk through how the assistant uses incident context, workspace details, and GitGuardian documentation to answer questions, suggest next steps, and help manage incidents through natural language. It can explain threat patterns, assess scope and impact, recommend remediation steps, assign incidents, update tags, and propose changes to incidents.

The Partnerships Taking on AI Security: Daniel Bernard, CrowdStrike Chief Business Officer

The previous episode of the Adversary Universe podcast explored the “vuln-pocalypse” and the implications of advanced AI models accelerating vulnerability discovery and exploitation. Now, we’re diving into how companies are working together to face these evolving security risks. CrowdStrike Chief Business Officer Daniel Bernard spends much of his time talking with partners and customers about how to address their growing concerns: Is their business protected? Do they know which vulnerabilities are in their environment? What do they do about them?

AI SOC vs. white box AI: Why black boxes fail in the real world

There’s a growing wave of “AI SOC” startups promising autonomous everything. They’ll triage your alerts, investigate threats, and even run your playbooks. Push a button, let the machine handle the mess, and enjoy the magic. It sounds great until the moment something breaks. Then everyone, not just security, asks the same question: “What exactly did it do?” And that’s when these systems turn into a liability.

How to Detect Shadow AI

In 2026, the gap between AI adoption and AI oversight has become a primary boardroom concern. While generative AI has supercharged productivity, it has also introduced Shadow AI: the unmanaged, invisible use of unauthorized AI apps and autonomous agents that operate outside the view of traditional IT security. In this guide, you’ll learn why Shadow AI is exponentially harder to detect than Shadow IT and, more importantly, how to build a modern detection framework. We’ll explore.

How Cloudflare responded to the "Copy Fail" Linux vulnerability

On April 29, 2026, a Linux kernel local privilege escalation vulnerability was publicly disclosed under the name "Copy Fail" (CVE-2026-31431). Cloudflare’s Security and Engineering teams began assessing the vulnerability as soon as it was disclosed. We reviewed the exploit technique, evaluated exposure across our infrastructure, and validated that our existing behavioral detections could identify the exploit pattern within minutes.