Navigating secure AI deployment: Architecture for enhancing AI system security and safety

Source: Red Hat Blog

In the previous articles, we discussed how integrating AI into business‑critical systems opens up enterprises to a new set of risks with AI security and AI safety [link], and explored the evolving AI security and safety threat landscape, drawing from leading frameworks such as MITRE ATLAS, NIST, OWASP, and others [link].

Architectural considerations for secure and safe AI deployment

A resilient AI architecture must be designed with a defense‑in‑depth philosophy, integrating controls that address both traditional cybersecurity threats and the unique challenges posed by AI systems.