Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Digital risk has expanded far beyond the traditional security perimeter. Brands now operate across social platforms, advertising ecosystems, messaging applications, collaboration tools, marketplaces, and dozens of other digital channels. Each represents an opportunity to connect with customers. Each also creates opportunities for abuse. A fraudulent advertisement can direct users to a spoofed login page. A fake social media account can support an executive impersonation campaign.

Guest post by Neil Holme, Founder and CEO of Impact Business Technology, a WatchGuard partner. The cloud environments MSPs manage change every week. Clients adopt new SaaS applications, AI tools, and collaboration services, making it difficult to track what is in use, how it is configured, and which access permissions remain active. Exposure grows without a clear warning sign until an incident occurs. The cloud is also the fastest-growing attack surface an MSP manages.

Every security team knows the feeling. The quarterly vulnerability scan completes. The report lands, with thousands of findings, color-coded by CVSS severity, neatly timestamped. And the moment it’s printed, it’s already out of date. That is the fundamental flaw at the heart of traditional exposure management: it is built around a point in time.

Recovery time objectives in manufacturing are usually set by information technology. Restore the servers, rebuild the domain, bring the applications back, declare recovery. Those milestones are measurable and a plan built around them looks complete. ‍ None of them produces a part.

A browser sensor reports that somebody pasted 18,000 characters into an AI tool. A network sensor reports a 24 kilobyte upload to the same destination. Joining those two records on size looks reasonable and is the wrong instinct. ‍ The two numbers describe different objects with several transformations between them, and the transformations do not all run in the same direction. The error cannot even be signed, which rules out a tolerance as well as an equality. ‍

Ask a security leader how secure their company is, and most will point to a number. A rating, maybe a grade, or a score out of some maximum that a vendor calculated for them. That number only measures half the problem. It tells you about your infrastructure: your email configuration, your encryption, what's visible on the internet. It tells you much less about whether your employees' credentials are already exposed to an attacker.

An organization assembles an evidence package for one AI framework, passes, and discovers that almost none of it transfers to the next instrument applying to the same system. The frameworks agree on the principles and disagree on what proves them. Three frameworks defining risk differently is the same problem one layer earlier. ‍ The common response is to look for a crosswalk and treat the mapping as a reuse plan.

A vulnerability in an open-source library inside your product is your vulnerability to report. The duty follows the product to market rather than the code to its author, so integrating somebody else's component transfers the obligation to whoever ships it. ‍ The reporting is the visible half. The harder consequence is that the same regulation requires remediation across the product in its entirety, and the party who wrote the component may have no obligation to help you. ‍