Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Cloud Complexity: Keeping Your Network Fast! #shorts

Migrating to the cloud brings data center challenges into the cloud. Some embrace a cloud-first approach, granting app teams control for speed. But how does the network keep up? Handling tens of thousands of security policies across cloud-native tech, SDNs, and SASE increases complexity and misconfiguration risks.

Introducing Salt Claude Connect: Continuous MCP Server Visibility for Claude Enterprise

As AI adoption accelerates inside enterprises, security and IT teams are increasingly asking a foundational question: what exactly is connected to our AI, and what can it access? For organizations running Claude Enterprise, Salt now has a direct answer. Salt Claude Connect links Salt to Claude’s Compliance API and provides continuous, read-only visibility into the MCP (Model Context Protocol) servers connected to your Claude Enterprise organization.

What Did You Miss at Last Year's Cloud Security Summit?

Is AI a "mass extinction event" for traditional software? In this insightful session from Brivo’s 2025 Cloud Security Summit, CEO Dean Drako and President Steve Van Till break down how artificial intelligence is disrupting tech and revolutionizing the physical security space. Learn how AI-driven tools—like real-time visual gun detection, natural language search, and hybrid cloud-edge architecture—are transforming safety protocols and making security platforms faster, smarter, and more scalable than ever before.

Jev's Paradox: The hidden cost of cheap AI decisions

This article was first published on LinkedIn. Consider a cybersecurity alert for a potentially malicious PowerShell script that downloads and runs a file. An AI agent in a security operations center (SOC) can handle it by picking from a fixed set of actions: close the alert as benign, collect more evidence, or send it to an analyst. Before letting the agent act on such alerts, the SOC needs to know how often it picks correctly and whether its confidence helps identify its mistakes.
Featured Post

AI Risk Is a Significant Security Operations Challenge

AI has quickly become a boardroom priority. Organisations are investing heavily in governance frameworks, usage policies and risk controls as employees adopt AI technologies across the business. Yet as boards look to understand AI risk, many are overlooking a more immediate frontline challenge: the impact AI is having on the threat landscape and the ability of security operations teams to keep pace.

What Is Used to Test for Hydrogen Gas? Methods for Detecting and Measuring H in Industry

Hydrogen is colourless and odourless, burns with a pale flame that is almost invisible in daylight, and forms flammable mixtures with air over a wide concentration range of roughly 4 to 75 vol.%. Its presence cannot be noticed without an instrument, so the question "is there hydrogen in the system, and how much?" is always answered by measurement.

A Win for Defenders: CrowdStrike and NVIDIA Extend Security Across the AI Stack

AI agents are already operating across the enterprise. As they become more autonomous in accessing data, using credentials, executing code, and acting across critical systems, the security boundary is changing with them. The question is no longer whether enterprises will adopt agents. It's how they give agents greater autonomy without giving up control.

AI data security: protecting sensitive information across AI tools

An employee uploads a spreadsheet to find a sales trend. Another pastes a support conversation into a chatbot to draft a reply. Neither intends to expose business information. Even so, both may send sensitive material outside the systems where your business normally controls it. SMB IT decision-makers need to know what employees share and decide which interactions are acceptable, without building a specialist AI security team.