Corning manufactures materials at scale - optical fiber that routes internet traffic, Gorilla Glass protecting mobile devices, and specialty glass and ceramics for automotive, life sciences, and communications infrastructure. The attack surface is wide: proprietary manufacturing systems, R&D networks holding over 13,000 active patents, supply chain integrations across five industrial verticals, and the operational technology running production lines that can't afford unplanned downtime. The company generated 2,000+ patents in 2023 alone, making IP protection a live operational concern, not a compliance checkbox.
The technical environment spans cloud infrastructure on AWS and Azure, embedded systems in manufacturing equipment, and legacy OT that predates modern segmentation practices. The team works with Python, C++, Java, and Rust across research, engineering, and production systems. Threat modeling here means understanding both the digital supply chain - third-party integrations with Salesforce, AI tooling via OpenAI, TensorFlow, and PyTorch - and the physical: securing facilities where materials science happens at temperatures and pressures that don't tolerate interference.
Security operations have to balance a 170-year-old company's installed base with current adversary tactics. That means protecting decades of accumulated research data, hardening connections to automotive and telecom customers, and monitoring for everything from ransomware to nation-state industrial espionage. The scope includes endpoint protection, network segmentation between IT and OT, identity and access management across a distributed workforce, and incident response planning that accounts for both digital breaches and physical safety interlocks in manufacturing environments.
