Many more of these systems must deliver deterministic real-time (measured in microseconds) behavior to certain situations as the electronics are not assisting a human. They ARE the system (increasingly working alongside a human).
With these systems now connected, a security incursion impacts not just that system itself but potentially any devices accessible from that network connection. Just think back to the Mirai attack in late 2016. The diagram to the right shows how Cap Gemini envisions a connected camera to operate in a modern factory.
WE HEAR FROM OUR CUSTOMERS THAT THE SOLUTION NEEDS TO MEET THESE REQUIREMENTS
• Can be deployed on a consolidated board (and, in an increasing set of cases, a single chip) to improve system power, footprint, and cost.
• Must run big operating systems like Linux and Windows while guaranteeing the real-time behavior of it-simply-must-always-respond-this-way elements of the platform. What this means is increased use of hypervisors and, in the case of Lynx, separation kernels
• Applications must be compartmentalized to ensure that specific applications cannot cause other elements of the system to fail
Connected systems present a threat from both malicious and unintended (poorly written code) threats. In the factory environment, the relatively slow pace of change is understandable since there is a focus on reliability, which translates to increased up-time, reduced accidents, less scrap, etc. Therefore, OT technology is separate networks that connect to the IT networks at a main console level. The desire is to push this fusion of IT and OT worlds out on the factory floor so that machines can make better decisions more quickly. Because of the time technology is deployed, much of the equipment is over ten years old. System architects must provide a path to deliver more functionality without replacing all installed equipment on day one.
The focus of LYNX MOSA.ic for Industrial is to help system architects address these challenges. This product features a bundle of Lynx and 3rd party software technologies and system integrations, which have been proven to operate together securely and deterministically and effectively provide a bridge from the past to the future.
Lynx recently announced a partnership with Google to combine leadership cloud technology with the strong isolation and deterministic real-time capabilities that LYNX MOSA.ic provides.
INTRODUCING LYNX MOSA.IC FOR INDUSTRUAL
A HOLISTIC APPROACH TO ROBUST SECURITY
To unlock the full potential of IIoT, trust must be established across a network. That trust begins with platform security—the assurance that computing components are authentic, initialized to a well-known state, and resilient to unauthorized changes. Once platform security is in place, systems must incorporate network security and monitoring capabilities to ensure that system-wide integrity is resilient to unauthorized changes.
Point solutions tend to address symptoms of engineering flaws—e.g., patching, updating whitelists, malware signatures, etc. However, reactionary approaches lose effectiveness at scale and fail at catching the first exploit. LYNX MOSA.icTM gives product suppliers the ability to build assurance with the knowledge that their device is precisely designed to execute securely in enterprise or control networks without relying on layers of firewalls, IDS, and patching systems. 
BUILDING A NETWORK OF TRUST ON A ROBUST FOUNDATION
Adopting any digitization security technology requires careful technical scrutiny of claims of assurance, interoperability with legacy systems, and life cycle maintenance costs. The architecture configuration language of LYNX MOSA.ic allows developers to design the security properties of system devices that must be trusted and need to survive in hostile environments.
With LYNX MOSA.ic, evaluators of security properties, such as government authorities or safety managers, can trace configurations down to processor hardware control, providing formal evidence of robustness and resulting in a holistic approach to system security. Our emphasis for our product roadmap in this area, aligned with the company's vision, is focused on helping companies create robust software stacks for autonomous platforms. 
Examples of relevant security designs include:
• Boot Security
• Data Protection: Data-In-Transit, Data-At-Rest
• Data and Control Plane Separation
• Separation of Enterprise and Control Networks
• Read-only Monitoring