As IT environments grow more complex and adversaries move faster, security and IT teams need a reliable way to enforce configurations, maintain application health, and resolve issues at scale without writing or maintaining custom scripts. CrowdStrike Falcon for IT already gives operators powerful tools to query endpoints, run remediation, and enforce baseline configurations.

For many organizations, data loss prevention (DLP) has historically been viewed through the narrow lens of compliance. Regulations like PCI DSS, HIPAA, and GDPR forced companies to prove they had controls in place to protect sensitive information. DLP was the obvious answer—a way to prevent credit card numbers, Social Security information, or personal health data from leaving the organization in unauthorized ways. In that framing, DLP was deployed to satisfy audits, not reduce risk.

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Zestix is identified as a criminal threat actor primarily motivated by personal gain. The actor first emerged in September 2025 and operates at an intermediate resource level, functioning as an individual. Zestix has been involved in significant data breaches, notably targeting organizations in the transportation and government sectors.

A critical vulnerability identified as CVE-2025-14847 (dubbed “MongoBleed“) affects MongoDB Server instances, exposing systems to unauthenticated information disclosure. This vulnerability allows a remote attacker to read sensitive data from the server’s memory without requiring authentication.

CopilotLeaks is a criminal threat actor group known for its data breaches and leaks targeting various sectors in Bolivia and Paraguay. The group operates under multiple aliases, including Megumi, vulnerandolo, and Johan_Liebheart. Their primary motivation is personal gain, and they are characterized as having an intermediate level of sophistication.

A high-severity vulnerability, CVE-2025-14847, affecting MongoDB Server is being actively exploited in the wild with a Bitsight Dynamic Vulnerability Exploit (DVE) score of 9.71. The flaw, commonly referred to as “MongoBleed,” is an unauthenticated memory-read vulnerability caused by improper handling of zlib-compressed network message headers, which may allow attackers to read uninitialized heap memory remotely.