Data Security for Manufacturers
Manufacturing organizations invest years building the CAD files, product designs, formulas, and production processes that define their competitive position. Those assets move constantly across engineering teams, supply chain partners, and AI tools built for computer vision, robotics, and design prototyping, and legacy DLP was never built to follow that path. This datasheet breaks down how Cyberhaven's AI and Data Security Platform protects manufacturing IP across every channel it touches, from engineering workstations to contract manufacturer portals to industry-specific AI workflows, without requiring file tags or disrupting production operations. If manufacturing IP protection is a priority and your current tools can't tell you where your data has been, start here.
Key Takeaways:
- Manufacturing IP is the primary target.
Manufacturing was the most attacked industry for the fifth consecutive year, with 40% of attacks specifically targeting financial assets and intellectual property, including trade secrets. The exposure happens where legacy DLP has no visibility: across supply chain portals, engineering collaboration tools, and AI applications. - Context replaces manual tagging.
Cyberhaven uses Data Lineage to understand where data was created, who created it, and how it has moved, so CAD files, formulas, and production processes are classified and protected automatically. Security policies apply from the moment IP is created and follow it across every application, with no policy maintenance required every time a new tool enters the environment. - AI adoption in manufacturing carries real risk.
80.5% of GenAI tools used in manufacturing are classified as medium to critical risk. Cyberhaven tracks what design files, specifications, and process data enter AI applications in real time, including industry-specific workflows for computer vision, robotics, and design prototyping.
