Application Security Enablement#

Edge AI is revolutionising multiple AI usage areas, raising critical challenges in cybersecurity. With AI systems making autonomous decisions while handling sensitive city data, facilitating production lines, monitoring human health, and so much more, robust security is a must. Intel platforms provide built-in security features to make it possible.

This tutorial provides steps and guidance to enable built-in Intel security features, using the Metro AI SUite Smart Intersection application as an example. With some adjustments, you will be able to equip your solutions with:

  • Comprehensive Data Privacy: Protect sensitive personal data with strong encryption protocols and blockchain technology, ensuring secure transactions and compliance with regulations.

  • Infrastructure Protection: Safeguard your critical infrastructure with regular firmware updates and advanced threat detection systems, mitigating vulnerabilities in distributed edge devices.

  • Secure AI Processing: Leverage privacy-by-design principles and hardware-level security features to prevent AI model manipulation and ensure secure, compliant AI operations.

This guide covers:

These security features protect AI applications, such as the Smart Intersection system, from unauthorized access and ensure data integrity for traffic monitoring and analysis.

By leveraging Intel’s cutting-edge security solutions, you can harness the potential of Edge AI and Agentic AI while blocking potential threats. This paves the way for smarter and safer solutions, where AI-driven threat detection and digital twins for cybersecurity scenarios continue to evolve. Trust Intel technologies to meet the demands of the modern AI era, such as affordable and secure protection of your transportation infrastructure.