Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Ransomware is a rapidly evolving threat, with attackers increasingly turning to remote techniques that target network shares. To help defend against these tactics, CrowdStrike Falcon Prevent endpoint security includes a capability called File System Containment, which is precision-focused to block malicious file system actions over Windows Server Message Block (SMB) shares, halting encryption as soon as possible.

SCATTERED SPIDER, an eCrime adversary, has recently broadened its target scope to include the aviation sector, in addition to its established focus on the insurance and retail industries, as observed by CrowdStrike Services. Throughout Q2 2025, SCATTERED SPIDER's activities have primarily centered on U.S.-based insurance and retail entities, along with U.K.-based retail entities.

The healthcare sector continues to be a prime target for cyber adversaries, with threat actors constantly evolving their tactics to exploit vulnerabilities. Over the past year, CrowdStrike Services responded to a growing number of financially motivated attacks aimed at encrypting data and extorting victims across the healthcare ecosystem.

As organizations adopt hybrid and multi-cloud architectures, the attack surface quickly expands, often outpacing defender’s ability to see and stop threats. This growing complexity fuels risk — creating blind spots adversaries exploit through cloud misconfigurations, excessive permissions, and unpatched vulnerabilities. These conditions allow attackers to break in, move laterally, and gain higher levels of access.

AV-Comparatives, an independent cybersecurity software testing organization, has released the results of two key evaluations of enterprise security solutions. The CrowdStrike Falcon cybersecurity platform achieved the EDR Detection Certification in AV-Comparatives’ inaugural 2025 EDR Detection Validation Test and the AV-Comparatives 2025 Mac Approved Security Award. This independent validation confirms the Falcon platform’s ability to stop breaches across the modern enterprise.

We’re proud to announce that CrowdStrike has been named a Leader in the IDC MarketScape: Worldwide Cloud-Native Application Protection Platform 2025 Vendor Assessment (doc, June 2025). This recognition marks another milestone for CrowdStrike as cloud security becomes central to stopping modern cyber threats across hybrid and multi-cloud environments.

As the attack surface expands and the number of vulnerabilities grows, organizations face a new crisis: how to prioritize which vulnerabilities to fix first based on their level of risk. CrowdStrike Falcon Exposure Management addresses this challenge with new AI-powered capabilities to help defenders identify what matters most and take action with precision. New innovations include AI-powered Asset Criticality, Client-Side Attack Path Analysis, and a CrowdStrike Falcon Next-Gen SIEM integration.

Microsoft introduced AMSI (Antimalware Scan Interface) with Windows 10 in 2015. This interface standard allows third-party security products to be integrated with applications running on a Windows PC to improve detections for fileless and script-based attacks. Naturally, adversaries immediately began efforts to defeat AMSI.

Cloud is the new battleground, and more adversaries are joining the fight: New and unattributed cloud intrusions were up 26% in 2024, according to the CrowdStrike 2025 Global Threat Report. As adversaries accelerate cloud attacks, CrowdStrike delivers full-cycle agentic AI — from detection triage to threat response — giving defenders the edge to act at machine speed before adversaries can break through.

The increasing deployment of large language models (LLMs) in enterprise environments has created a pressing need for effective security testing methods. Traditional approaches, relying heavily on predefined templates, are limited in comparison to adaptive attacks — particularly those related to prompt injection attacks. This limitation becomes especially critical in high-performance computing environments where LLMs process thousands of requests per second.