Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What is AI Usage Control?

AI usage control is the security and governance framework that enterprises use to monitor, regulate, and secure how employees interact with artificial intelligence tools. As Generative AI becomes deeply embedded in everyday workflows, organizations face a high-stakes balancing act: capturing massive productivity gains while preventing catastrophic data leaks, compliance violations, and intellectual property exposure.

Why a Credentialing Specialist Is Essential for Healthcare Operations

Every day a provider is not credentialed is a day they may not be able to see patients, bill payers, or generate revenue. For healthcare organizations, credentialing delays affect far more than paperwork. They impact onboarding timelines, payer reimbursement, compliance readiness, provider schedules, and operational continuity across the business. A missing document or delayed approval can slow down provider start dates, interrupt billing, and create avoidable administrative pressure for teams already balancing complex healthcare workflows.

Exposure Management Explained: How to Go Beyond Vulnerability Scanning

Vulnerability scanning gives security teams a starting point, but it has never been the whole picture. Scan results capture known CVEs across applications and systems, yet they say nothing about whether a given weakness is actually reachable, whether the controls around it are functioning correctly, or whether the people with access to it represent a meaningful risk. Exposure management addresses all of that.

15 Risky Cloud Misconfigurations and How To Mitigate Them

When people start driving, one of the first things they learn is how to set the rear-view and side-view mirrors. Whether driving locally or on the highway, these mirror configurations reduce accident risk because they improve the driver’s visibility into the cars behind and around them. In the cloud, various technical configurations act similarly.

How AI Is Changing What Security Teams Can Actually Do | Nancy Phillips, Ensemble Health Partners

Threat actors used to need days or weeks to exploit a vulnerability. Now AI lets them do it in seconds. Most security teams are already buried. Too many tools, too many alerts, manual processes that can't keep pace, and break-glass changes that get made and forgotten. Keeping everything configured and optimized correctly is a full-time job on its own. Nancy Phillips, Chief Information Security Officer at Ensemble Health Partners: "I want my teams doing the innovative stuff. Not the mundane, repeatable stuff.".

What MDM can't protect on developer machines (and what to do about it)

Mobile Device Management (MDM) is a type of software used by organizations to secure, manage, and monitor their employees' mobile devices. Tools like Jamf, Kandji, and Microsoft Intune give IT teams visibility and control over every sanctioned application across the fleet. For compliance frameworks like SOC 2 or ISO 27001, MDM is often a core component of how you demonstrate device control and ensure data security. If your MDM is deployed, congratulations, you've solved 2012's BYOD security challenge.

Businesses have NO IDEA how bad AI attacks can be

There are two types of companies: those who have been compromised and those who will be. Mid and small businesses are walking into this reality without understanding what AI has changed. On The Cybersecurity Defenders Podcast, David Chernitzky, CEO and co-founder of Armour Cybersecurity, explains why the gap between how large organizations understand AI-driven threats and how smaller ones do is widening fast.