Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Company overview: Labelbox is the leading data factory for delivering high-quality, frontier data to top AI labs and enterprise AI teams.

As AI transforms software development, AppSec teams face new complexities. For instance, the lack of visibility into where AI is being used and the reality that AI-generated code is often highly vulnerable make it nearly impossible to prioritize remediation and effectively scale security programs. To succeed, AppSec teams have to evolve from task managers to strategic governance enforcers.

Exposure management doesn’t end when you discover and prioritize vulnerabilities. The real measure of success is whether you’ve effectively remediated those exposures. Too often, security teams identify risks but struggle to see them resolved because remediation processes aren’t aligned across people, tools, and workflows. Exposure remediation best practices address this gap, ensuring that insights lead to action and that action drives measurable risk reduction.

CrowdStrike is introducing Risk-based Patching in CrowdStrike Falcon for IT to close the gap between security and IT teams. With AI-powered Risk-based Patching and CrowdStrike Falcon Exposure Management, organizations can identify, prioritize, and fix the vulnerabilities most critical to them through a single console and workflow while accelerating security and IT consolidation.

On September 17, 2025, SonicWall released a knowledge base article detailing the exposure of firewall configuration backup files stored in certain MySonicWall accounts. SonicWall states that after identifying the incident they began an investigation containing the incident, terminating the ‘unauthorized access point’, and working with law enforcement and select cybersecurity agencies globally.

On September 17, 2025, WatchGuard released fixes for a critical out-of-bounds write vulnerability (CVE-2025-9242) in the iked process of WatchGuard Fireware OS, which powers their Firebox firewall appliances. This flaw allows a remote unauthenticated threat actor to execute arbitrary code and affects both the mobile user VPN with IKEv2 and the branch office VPN with IKEv2 when configured with a dynamic gateway peer.

JFrog Security Research recently discovered and disclosed multiple CVEs in the highly popular Chaos engineering platform – Chaos-Mesh. The discovered CVEs, which we’ve named Chaotic Deputy are CVE-2025-59358, CVE-2025-59360, CVE-2025-59361 and CVE-2025-59359. The last three Chaotic Deputy CVEs are critical severity (CVSS 9.8) vulnerabilities which can be easily exploited by in-cluster attackers to run arbitrary code on any pod in the cluster, even in the default configuration of Chaos-Mesh.

This is an ongoing incident and updates will be provided as more information is confirmed.