Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The number of publicly reported unique vulnerabilities has risen year after year. There was a brief decrease and stabilization in 2015 - 2016, but those are the only years in the over two decades (1999 - on) I have been following vulnerability metrics. Other than that, it has been up, up, up.

If an auditor walked in tomorrow and asked for a complete inventory of every AI model, agent, and tool in your environment, how long would it take you to produce it? For most organizations, the honest answer is: they can’t because the way AI is entering the enterprise has fundamentally changed.

On March 20, 2026, Oracle disclosed a critical (CVSS score of 9.8) vulnerability (CVE-2026-21992) impacting two Oracle Fusion Middleware components: Oracle Identity Manager and Oracle Web Services Manager. An unauthenticated attacker could exploit the vulnerability to obtain network access via HTTP and remotely execute code. Critical functions of the products are exposed due to the lack of network-level authentication. As of this publication, there are no reports of active exploitation.

CVE-2026-22557 is a path traversal vulnerability in the Ubiquiti UniFi Network Application caused by improper limitation of a pathname to a restricted directory (CWE-22). A malicious actor with network access can exploit the flaw to traverse directory boundaries, access files on the underlying operating system, and manipulate those files to gain unauthorized access to system accounts.

My colleague Manoj Nair recently wrote about the growing gap between what AI builds and what security teams actually test. He made the case that the speed of AI-driven development has fundamentally outpaced validation, and that the response can't be to slow down, but to change what testing means. I agree with every word.

AI is everywhere in vulnerability management right now. Technology vendors in all areas are adding new features and making bold claims about revolutionary capabilities. But here's the reality, especially for vulnerability and exposure management: more AI doesn't automatically mean less risk. The gap between AI's promise and its practical impact in enterprise vulnerability management is wider than most organizations realize.

CVE-2026-32746 is a critical out-of-bounds write in GNU Inetutils telnetd caused by insufficient bounds checking in the LINEMODE SLC (Set Local Characters) suboption handler. Public advisories attribute the issue to the add_slc logic not verifying whether the destination buffer is already full before writing additional data. The published CVSS v3.1 score is 9.8, with network attack vector, no required privileges, and no user interaction.

CVE-2025-47813 is an information disclosure vulnerability in Wing FTP Server that reveals the application's full installation path when attackers send an oversized UID cookie value. CISA added it to the Known Exploited Vulnerabilities (KEV) catalog in March 2026, indicating active exploitation in the wild.

Starting the week of March 9, 2026, Arctic Wolf observed malicious activity in customer environments potentially linked to the exploitation of CVE-2025-32975 on unpatched Quest KACE Systems Management Appliance (SMA) instances that were publicly exposed to the internet. This vulnerability was patched in May 2025. Quest KACE SMA is an on-premises appliance for centralized endpoint management, providing inventory, software deployment, patching, and endpoint monitoring capabilities.