Akamai has joined World Wide Technology's AI Readiness Model for Operational Resilience (ARMOR) as a strategic security partner, a move that bakes Akamai's software intelligence directly into NVIDIA BlueField DPUs. The integration targets the "security tax" that forces AI workloads and traditional security agents to fight over compute resources, a pain point for operations teams running large-scale AI clusters.
How ARMOR offloads security to save compute
WWT's ARMOR framework provides a vendor-agnostic blueprint across six domains: Governance, Risk and Compliance (GRC), Model Protection, Secure AI Operations, Infrastructure Security, Data Protection, and Secure Development Lifecycle (SDLC). Akamai's contribution centers on moving security enforcement off the host CPU and onto the DPU. By offloading Akamai Guardicore Segmentation to NVIDIA BlueField, the architecture creates an isolated enforcement layer that survives host OS compromises. In testing, this accelerated ransomware containment by an average of 21.4%, and 32.6% for large enterprises.
For operations staff, that means AI training and inference jobs can run without a performance hit from inline security agents. PJ Joseph, Executive Vice President, Global Sales and Services at Akamai, said the approach provides "a proactive methodology to isolate large-scale AI clusters and prevent the lateral movement of threats without sacrificing the performance that AI training and inference demand."
Securing the connective tissue of AI
Beyond segmentation, Akamai API Security monitors the APIs that feed data to large language models. Operations teams managing data lakes and agentic AI pipelines gain visibility into unauthorized access attempts. Combined with Prolexic DDoS mitigation, the setup delivers a multilayered defense against volumetric attacks aimed at AI infrastructure. The architecture is tested inside WWT's Advanced Technology Center, which acts as a proving ground for enterprise AI deployments.
Chris Konrad, Global VP of Cybersecurity at WWT, said, "Through our close partnership with Akamai, we are turning the hype of secure enterprise AI into a tangible, scalable reality for customers." The partnership ensures enterprises can move beyond baseline compliance toward operational resilience, rather than stitching together fragmented security tools.
Why this matters for operations teams
For operations professionals, the collaboration directly addresses the tension between security and performance. Offloading security to DPUs means fewer compute cycles stolen from AI workloads, faster threat containment, and a consistent enforcement layer that doesn't buckle if the OS is compromised. It also reduces the operational overhead of managing separate security agents per host. Professionals looking to deepen their understanding of AI security and infrastructure can explore AI for Operations Courses or AI for IT & Development Training that cover the intersection of AI workloads and secure infrastructure.
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