Inside the LiteLLM hack: 153GB, 433,909 Files, 2,488 Organizations
Attackers dumped everything they harvested from LiteLLM builds during a 40-minute window in March. Here is what is inside and what it says about where secrets live.
Security | Threat Detection | Cyberattacks | DevSecOps | Compliance
The Latest Cybersecurity News & Insights From Around The World
Unmasking the Invisible: How to Identify AI Tools, Hidden Devices, and Other Unknown Assets on Your Network
You cannot protect what you do not know exists. That statement has been true throughout the history of cybersecurity, but it has become even more important as organizations adopt new technologies and employees gain access to powerful AI tools. While many organizations focus on defending against external threats, they often overlook a growing problem much closer to home: devices, applications, and services operating within their environment that nobody knows about.
How Cloudflare detects MCP traffic and helps secure it
Most companies designed their resource permissions with a human user in mind. A senior engineer may be able to deploy to production, query a sensitive database, or revoke another user's access. Those privileges come with risk, but that risk has traditionally been bounded by two assumptions: the engineer will use human judgment, and the engineer can only act at human speed.
Secure all your internal vibe-coded applications - in one click
AI has enabled employees across every team to build applications faster than ever before. But that speed is also what's keeping every CISO up at night: any employee can build an application, deploy it to the public Internet, and accidentally expose internal work or company data. Today, we're launching new tools to make it easy to keep your applications hosted on Workers private.
Why AI Discovery Must Be the First Step in Enterprise AI Security
Every enterprise security leader is being asked the same question by their board: are we secure against AI risk? Most cannot answer it with confidence, and the reason is rarely a lack of tools. It is a lack of visibility. AI has spread through enterprises faster than almost any technology before it. Developers wire large language model APIs into internal tools. Business teams stand up copilots and chat assistants. Data science teams build retrieval pipelines against customer and financial data.
Uncovering Shadow AI Before It Becomes Your Biggest Risk | WatchGuard Technologies Webinar Series
Your employees have already adopted AI. The question is whether your organization knows where, how, and with which data. While many companies are encouraging AI innovation, a new security challenge is emerging in parallel: Shadow AI. Employees are connecting AI tools faster than security teams can evaluate them, moving sensitive data into unmanaged applications, and creating blind spots that traditional security controls were never designed to see. Even organizations with mature AI strategies are discovering that sanctioned AI is only part of the story.
A Hands-On Look at Photogenerator.ai: What Happened When I Tested This AI Photo Generator
I needed product shots and headshots fast. No studio. No budget for a photographer. So I opened Photogenerator.ai and spent several sessions testing it as an everyday user. This is what the experience actually felt like. No polished claims. Just notes from the process.
Best AI security tools for small and mid-sized businesses in 2026
The best AI security tools for small and mid-sized businesses do more than detect risky AI use: they show which generative AI tools employees actually use, they let you govern which AI apps are allowed, monitored or blocked, they stop sensitive data from leaving in a prompt, and they defend against harmful prompts, including prompt injection. Most organizations now run AI without that visibility or control. AI use has moved into the mainstream.
Does Cyber Insurance Cover AI Incidents?
The answer changed on a specific date. Until the start of 2026, most organizations were covered for AI losses by silence rather than by grant, because policies neither affirmed nor excluded AI and the question would have been argued at claim time. On January 1, 2026 the standard forms organization introduced generative AI exclusion endorsements for commercial general liability, and carriers began attaching them at renewal.
A Prompt Is Not a Boundary: Lessons From the AI Eval Incidents
Three organizations had their production systems compromised by an AI model in April, and found out in late July when the model's developer called them. None of them had detected the activity. One was a security company whose own package scanner was the entry point. Anthropic published that account on July 30, nine days after OpenAI disclosed a related incident of its own.