This story was originally published on HackerNoon at: https://hackernoon.com/why-ai-security-must-evolve-into-lifecycle-governance.
AI systems now power critical enterprise operations, requiring security strategies that protect the entire lifecycle—from data pipelines to deployments.
Check more stories related to cybersecurity at: https://hackernoon.com/c/cybersecurity.
You can also check exclusive content about #ai-infrastructure-security, #ai-lifecycle-governance, #ai-supply-chain-security, #prompt-injection-attacks, #zero-trust-ai-systems, #ai-risk-governance, #ai-security-research, #good-company, and more.
This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page,
and for more stories, please visit hackernoon.com.
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.