New Report Warns of Threat Actors Actively Adopting AI Platforms to Attack Manufacturing Companies

The manufacturing sector faces an escalating threat landscape as cybercriminals increasingly exploit cloud-based platforms and artificial intelligence services to conduct sophisticated attacks.

A comprehensive analysis by Netskope Threat Labs reveals that approximately 22 out of every 10,000 manufacturing users encounter malicious content monthly, marking a significant rise in targeted campaigns specifically designed to compromise industrial operations and sensitive intellectual property.

The attack vector has evolved considerably. Rather than relying solely on traditional malware distribution methods, adversaries now leverage trusted cloud platforms where employees naturally congregate.

Microsoft OneDrive emerges as the primary conduit for malware delivery, with 18 percent of manufacturing organizations reporting monthly malware downloads from the service.

GitHub ranks second at 14 percent, where attackers exploit its repository infrastructure and developer trust to distribute compromised code and utilities.

Google Drive follows at 11 percent, capitalizing on its near-universal adoption across enterprise environments. The transformation extends beyond simple file hosting.

Netskope security researchers identified that threat actors are strategically positioning themselves within generative AI platforms and agentic AI systems that manufacturing companies increasingly depend upon for operational efficiency.

Most used genAI apps (Source – Netskope) With 67 percent of manufacturing organizations connecting to api.openai.com and 59 percent using api.assemblyai.com, these API endpoints have become prime targets for credential theft, model poisoning, and data exfiltration campaigns.

The mechanics of these attacks reveal a calculated sophistication. Attackers package malware within seemingly legitimate project files, documentation, or code libraries that align with common manufacturing workflows and software development practices.

When employees download these files from trusted platforms, security systems often fail to trigger alerts during the critical detection window before malicious content propagates throughout corporate networks.

Understanding Malware Distribution Through Cloud Infrastructure

The threat actors’ strategy fundamentally relies on exploiting the inherent trust users place in established cloud services.

Netskope security analysts noted that manufacturing organizations struggle to implement robust inspection of HTTP and downloads across all web and cloud traffic, creating exploitable gaps in their defensive posture.

The infection mechanism operates through a deceptively simple process. An attacker uploads a seemingly benign file—perhaps a technical document, source code repository, or project template—to a compromised or spoofed account on a widely-recognized platform.

Manufacturing employees, searching for resources or collaborating on projects, download the infected file without suspicion.

The malware , often disguised as legitimate utilities or embedded within archive files, establishes initial system access and facilitates subsequent compromise phases including persistence mechanisms, lateral movement, and data harvesting operations targeting proprietary manufacturing designs, supply chain information, and production specifications.

Organizations must implement comprehensive download inspection policies, maintain strict application whitelisting protocols, and deploy data loss prevention solutions that monitor sensitive information movement across personal and cloud-based platforms.

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Based on reporting by Cyber Security News.