Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI Governance Auditing for Security and IT Teams

AI governance auditing distinguishes between a documented policy and a working control. The audit traces one AI output back through the identity that invoked it, the data it reached, the guardrail that applied, and the record retained afterward. Most programs fail because access is ineffective: nobody can say which identities access sensitive data through an AI assistant, let alone prove the limit is held.

"Speaking the Same Language" Tanium Atlas MCP Server: Tanium Tech Talks #169

Want to point your own AI at Tanium? The Atlas MCP Server makes that possible — governed, scoped, and available today. In this episode we cover: Tanium MCP - Available now (read-only) How to set up OAuth clients and how RBAC applies How to scope a single-purpose agent to one module, like Asset, using path-based tool filtering How to tell which tools consume Atlas AI credits - and which don't!

The Screenshot Looked Better-But One AI Edit Changed the Evidence

A security analyst prepares a phishing report for publication. The original screenshot is accurate but messy: a personal email address is visible, the browser contains unrelated tabs, and a notification blocks part of the page. The analyst uses an image editor to clean it up. The result looks professional. Unfortunately, one character in the suspicious domain has also changed. Tools such as Nano Banana can edit existing images and generate new ones, but security communication introduces a requirement ordinary visual content may not have: some pixels represent facts. Improving the image cannot be allowed to rewrite them.

CrowdStrike Falcon Guardian Defines the Next Generation of AI Security

AI has rapidly evolved into a technology that takes action. AI agents can reason, access enterprise systems, and execute tasks autonomously at machine speed, often with the full permissions of the users they serve. As these agents proliferate across the enterprise, organizations need to understand where they operate, what they do, what they can access, and how to stop threats before they become breaches. This shift demands a new approach to AI security.

Secure Data Sharing: Best Practices for Privacy and Compliance

Data sharing creates business value only when organizations can control where data goes, who can use it, and what happens after it leaves its original system. That becomes harder as businesses exchange customer records, financial information, healthcare data, and AI-ready datasets across employees, vendors, applications, and regions. The answer is not simply sending files through an encrypted channel.

5 AI Prompts Every MSP Should Know | WatchGuard Webinar

AI should do more than generate answers. It should help MSPs make better decisions. Many MSPs are experimenting with AI, but isolated tools and generic prompts often create more noise than value. Without the right questions, workflows, and operational foundation, AI can become another disconnected technology to manage rather than a meaningful driver of security and growth. This webinar explores five practical AI prompts every MSP should know, and how to apply them across security, service delivery, operations, and business strategy.

Configuration Drift in the Age of AI: 2026 Telemetry Report

Reach analyzed a year of telemetry from more than 50 production environments. The average organization generated 13 configuration drift alerts per day. 12 of them traced to a genuine, risk-prioritized exposure. A 92% signal rate on a category of alert most teams treat as background noise. The full report is out now. Security Intent vs. Security Reality: Configuration Drift in the Age of AI.