Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How to Connect WordPress to ChatGPT Using MCP Server | Secure MCP Server

The Secure MCP Server turns your WordPress website into an MCP (Model Context Protocol) server, allowing ChatGPT and other compatible AI clients to securely interact with WordPress. ���� �������� ����������, ������'���� ����������: • How to install the Secure MCP Server plugin on WordPress• How to configure the MCP Server• How to connect your WordPress website to ChatGPT• How to authorize ChatGPT to access WordPress• How to test the MCP connection• How ChatGPT can interact with your WordPress website through MCP• How to view and monitor audit logs of MCP activity.

Solving the SOC Data Problem: How Modern SIEM Platforms Cut Noise Without Cutting Visibility

Security teams have a data problem, not a detection problem. Most SOCs today aren't short on logs - they're drowning in them. Every firewall, endpoint, identity provider, and cloud workload generates a steady stream of events, and somewhere inside that noise sits the handful of signals that actually matter. The challenge isn't collecting more data. It's finding the right data fast enough to act on it.

AI Governance Tools and the Audit Trail Problem

An AI governance platform demo shows you the present. Compliance posture at seventy-nine percent, four controls needing attention, a register of systems with owners attached. Every figure describes today, and the demo is persuasive precisely because today is legible. ‍ An audit asks a different question.

OpenTelemetry and AI Governance: Where the Standard Stops

OpenTelemetry graduated from the Cloud Native Computing Foundation in May 2026, which formally settled a question the industry had answered informally years earlier. It is the standard way applications emit telemetry, second only to Kubernetes in contributor volume, and native across every major observability backend. ‍ A security and governance company has a specific reason to care.

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.

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.

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.