First of all, do the inventory of assets. Define where and what data transfer occurs. Look into what data needs full encryption and where authentication is sufficient. Where possible, use cryptography engine. Being able to offload computing burden to a specialized hardware may ease the computational cores. While doing this, you need to consider things like memory firewall, secure boot environment, memory encryption, or disk/firmware binary encryption/signing. In Short - Do system inventory - Do threat modeling - Analyze risk that you are willing to take - Use hardware support where feasible - If that is not enough, consider upgrading processor/hardware

These priciples are contradictory. A trade off is needed among them. The choice is based on project context. No universal slution exists.

In building/enhancing your SaaS, your SDLC should be streamlined through DevSecOps (not DevOps). Shift left for security and ensure that every iteration has the necessary black/grey/white box vulnerability scan and subsequent medium/high vulnerability fixes integrated into the development/configuration scope. This way, all releases will ensure optimized system performance while ensuring top-notch cybersecurity.

The key to ensuring top-notch security when optimizing performance is having a systems engineering integration and test (SEIT) team under one leader and vision. You can plan in DEVOPS by creating your requirements based on the testing you know you will need to do for security. Availability should the key measure because nothing works without it. If the test plans are written in full transparency with the customer and the SEIT team, that can drive requirements. The major issue that happens 75% of the time is requirements are written based on three different measures. Security writes requirements for (1) confidentiality, systems, for (2) optimization, and test for (3) functionality. Great leaders realize all three are availability!

One thing I have understood about optimum system performance and cybersecurity is that they go hand in hand with each other. The system perform with tailored cybersecurity solutions will automatically improve the system while locking the systems from malware and penetration. The approach is always trying to first understand the objective of the systems and its system architecture. The data flow, possible external access to the data and other gaps.

By effectively managing system resources, implementing efficient caching and load balancing, and regularly updating software, organizations can enhance performance without sacrificing security. At the same time, layered security, encryption, and robust access control measures provide the protection needed to safeguard sensitive data and maintain system integrity. Automation streamlines both performance and security processes, and continuous testing ensures that both aspects are regularly optimized. Ultimately, the goal is to create a system that operates efficiently and securely, ensuring smooth operations and resilience against potential threats.

Understand the key system functions which impact performance through Requirements, and trace those to the Solutions in place that may be at risk of cybersecurity attack. Prioritize optimization and testing accordingly, maintaining a coordinated strategy of "pervasive security intelligence" though to and in service. In my opinion, this will soon require holistic Generative AI to help counter the evolving (AI+) coordinated threats.

Cybersecurity is a letter for and. Of everyone. Having the best security system is not enough to avoid any breach. Every actors in the company must be aware of the risk level of their actions and be trained to find potential breach or attack on their daily tasks (mail).

Listing Few - Improve engineers' expertise by offering regular training in security ,optimization, System design etc. - Efficiently utilize resources. - Develop and continuously improve the security test suite, conducting periodic tests where applicable. - Regularly scan the system for unused open ports and close those no longer needed. - Consistently apply security patches to keep the system up to date. - Avoid unnecessary redundancy; clearly define the system’s purpose and ensure it operates within its intended scope without overloading. - Recognize the system's threshold and establish a contingency plan to address scenarios where this limit is exceeded.

In rail transportation, optimize performance by modernizing signaling systems, automating operations, and integrating secure, lightweight technologies. Use AI to monitor networks for both efficiency and threats, ensuring smooth operations and safety. Regularly update software, test systems under load, and coordinate IT, cybersecurity, and operations teams to protect against disruptions while maintaining peak efficiency.