Why AI Security Must Evolve Into Lifecycle Governance

As AI becomes embedded in core enterprise systems, cybersecurity must evolve beyond traditional defenses. Researchers argue that organizations need lifecycle governance covering data ingestion, training pipelines, deployment, and runtime monitoring. New threats like model poisoning, prompt injection, and AI supply chain risks demand security architectures that integrate governance directly into infrastructure and engineering workflows.