Data Centers Are Becoming the New Front Line of Converged Security

That dependence is also making data centers more attractive targets.

AI Convergence Impacts Data Center Threat Ecosystem AI endangers data center security in two significant, converging ways: by empowering attackers and creating new, highly privileged AI-specific attack surfaces within the data center itself.

AI systems in data centers, including model gateways, orchestration layers, RAG pipelines, and workflow engines, introduce new high-value targets.

Data centers must now protect not only networks, workloads, and identities, but also AI pipelines, model access, training data integrity, and firmware trust anchors.

Without adaptive identity controls, continuous attestation, and AI-aware security architectures, data centers become more vulnerable to both automated attacks and AI infrastructure compromises.