Report: Attackers Increasingly Targeting Cloud, AI Systems

According to CrowdStrike's 2025 Threat Hunting Report, adversaries are not just using AI to supercharge attacks — they are actively targeting the AI systems organizations deploy in production. Combined with a surge in cloud exploitation, this shift marks a significant change in the threat landscape for enterprises.

Cloud Intrusions Reach Record Levels

The report notes a sharp escalation in attacks aimed at cloud environments. CrowdStrike threat hunters identified a 136% increase in cloud intrusions in the first half of 2025 compared to all of 2024, with a 40% year-over-year rise in cloud-conscious intrusions attributed to suspected China-nexus actors. Threat groups such as GENESIS PANDA and MURKY PANDA have proven adept at evading detection by exploiting misconfigurations, abusing trusted relationships, and manipulating cloud control planes to achieve persistence, lateral movement, and data exfiltration.

In detailed case studies, GENESIS PANDA was seen leveraging credentials from compromised virtual machines to pivot into cloud service accounts, establishing "various forms of persistence" including identity-based access keys and SSH keys. MURKY PANDA demonstrated the ability to compromise a supplier's administrative access to a victim's Entra ID tenant, then backdoor service principals to gain access to e-mail and other sensitive assets. Such tactics underscore that cloud administration tooling itself is a prime attack surface.

Highlights
[Click on image for larger view.] Highlights (source: CrowdStrike).

AI as Both a Weapon and a Target

The report's headline theme is the rise of AI in both offensive and defensive cyber operations — but with a critical warning for defenders. Threat actors are using generative AI to accelerate intrusion workflows, improve phishing lures, create deepfake personas, automate malware development, and enhance technical problem-solving. At the same time, they are increasingly exploiting vulnerabilities in AI platforms themselves as an initial access vector.

CrowdStrike highlighted CVE-2025-3248 in the report, described as "an unauthenticated code injection vulnerability in Langflow AI," a widely used framework for building AI agents and workflows. By exploiting it, attackers were able to achieve "unauthenticated remote code execution" and pursue persistence, credential theft (including cloud environment credentials), and malware deployment. This signals a fundamental shift: "Threat actors are viewing AI tools as integrated infrastructure rather than peripheral applications, targeting them as primary attack vectors."

North Korea-nexus FAMOUS CHOLLIMA exemplifies AI weaponization. In over 320 incidents in the past year, operatives used GenAI to draft résumés, create synthetic identities with altered photos, mask their true appearance in live video interviews using real-time deepfake technology, and leverage AI code assistants for on-the-job tasks. CrowdStrike notes that this represents "a 220% year-over-year increase" in such infiltrations.

This growing trend of targeting AI platforms parallels another key avenue of attack highlighted in the report: identity compromise. Just as adversaries exploit weaknesses in AI tools to gain privileged access, they also exploit weaknesses in human and process-driven identity verification to move laterally across environments. These identity-driven breaches often serve as the connective tissue in complex, cross-domain attacks.

Identity as the Gateway in Cross-Domain Attacks

The report underscores that identity compromise is central to modern cross-domain attacks, where adversaries move fluidly between endpoints, cloud, and unmanaged systems. SCATTERED SPIDER, a prolific eCrime group, resurfaced in 2025 with faster, more aggressive operations. In one incident, they progressed from initial access to ransomware deployment in under 24 hours.

SCATTERED SPIDER relies heavily on vishing and help desk impersonation to reset credentials, bypass multifactor authentication, and gain persistent access. Once authenticated, they pivot rapidly into integrated SaaS applications such as data warehousing, document management, and identity and access management platforms. These footholds support persistence, lateral movement, and large-scale data exfiltration.

Their social engineering tradecraft is precise. When impersonating legitimate employees during help desk engagements, they are able to provide accurate employee IDs and answer verification questions, leveraging stolen personally identifiable information to pass identity checks. This proficiency in identity abuse makes them a significant enabler of broader cross-domain intrusions.

Other Key Highlights from the Report

The comprehensive and detailed report contains a lot of information, with some takeaways being:

  • 81% of interactive intrusions were malware-free, underscoring the importance of detecting hands-on-keyboard activity rather than relying solely on malware signatures.
  • Interactive intrusions increased 27% year-over-year, with eCrime activity representing 73% of the total.
  • Voice phishing (vishing) is on track to double 2024's volume, having already surpassed last year's total in the first half of 2025.

Implications for IT and Security Teams

CrowdStrike advises organizations to take the following actions based on its 2025 threat hunting findings:

  • Adopt AI-powered solutions, including agentic AI, to scale security operations. Use these capabilities to triage alerts, conduct investigations, and execute response actions, freeing human analysts to focus on proactive threat hunting and hypothesis-driven investigation.
  • Defend the cloud as core infrastructure by deploying cloud-native application protection platforms (CNAPPs) with detection and response capabilities. Enforce strict access controls such as role-based access and conditional policies, and maintain continuous monitoring for anomalies including logins from unexpected locations.
  • Conduct regular audits of cloud environments to identify and remediate overly permissive storage settings, exposed APIs, and unpatched vulnerabilities. Remove unused permissions and address outdated configurations promptly.

The CrowdStrike 2025 Threat Hunting Report makes clear that cloud and AI are now central battlegrounds in cyber defense. As adversaries blend these domains in increasingly sophisticated ways, security teams must integrate intelligence, automation, and cross-domain visibility to stay ahead.

The full report is available on the CrowdStrike site here (registration required).

Featured

  • Digital cyberspace with particles and Digital data

    Report: AI Is Moving Faster than Data Trust

    AI agents are already in use or pilot at most organizations, but data visibility, governance and precision recovery capabilities have not kept pace, according to Veeam's new Data & AI Trust Gap report.

  • Glowing route lines merging into single gold pathway

    Microsoft Merges Copilot Apps Into a Single User Experience

    Microsoft recently announced it is consolidating its consumer Copilot app and Microsoft 365 Copilot app into a single destination, addressing a fragmented product strategy that has required users to navigate separate applications for AI chat and productivity tools.

  • CIS Sandbox Tutor Eli Blouin at Bentley University imagines a future technology learning partner that supports curiosity, critical thinking, feedback, and personalized learning.

    Student Voices: Technology as a Future Learning Partner

    A data analytics and marketing major at Bentley University and a distinguished lecturer at the university explore the future of "technology learning partners" — technologies that participate in the learning process by asking questions and giving feedback, not just information search results.

  • Silhouettes of business professionals stand against a blurred futuristic city skyline at night, with a glowing digital network data connection

    It's Time for Higher Ed to Get Serious About AI Strategy

    Without a coordinated strategy that involves multiple academic and administrative units across the entire campus, colleges risk wasting resources, duplicating efforts, and ultimately failing to deliver on the promise of deploying technology to improve learning and operations.