Bengaluru, India – Axiado Corporation, a hardware-based platform security company focused on protecting modern data-centre infrastructure, has won the Gold Award in the AI Security Solution category at the 2026 Cybersecurity Excellence Awards for its silicon-embedded approach to securing AI servers.
The recognition highlights Axiado’s Trusted Control/Compute Unit (TCU), a system-on-chip designed to secure the infrastructure control plane of AI and cloud data-centre platforms.
The award comes at a time when AI infrastructure is expanding fast worldwide, including in India. Industry estimates indicate that AI data centres could account for nearly 12 percent of global electricity consumption by 2030, as large-scale GPU clusters continue to grow in size and complexity. In India, investments in hyperscale data centres are expected to cross $10 billion by the end of the decade, driven by AI workloads, cloud adoption, and digital services.
“AI data centres are scaling like never before, but the security model protecting the infrastructure control plane has largely remained unchanged,” said Gopi Sirineni, Founder and CEO of Axiado. “Our approach embeds AI directly into silicon through the Trusted Control/Compute Unit, enabling security to operate from the hardware layer itself. This recognition reinforces the importance of securing AI infrastructure at its foundation.”
While compute capacity is scaling quickly, much of the infrastructure that manages servers, firmware updates, and system boot processes still relies on legacy security components built for an earlier generation of computing.
Axiado’s architecture addresses this gap by embedding AI-driven protection directly into the hardware layer. Its Trusted Control/Compute Unit (TCU) integrates multiple infrastructure security functions including root-of-trust, platform attestation, baseboard management controller capabilities, and runtime monitoring into a single AI-enabled chip.
Operating below the operating system and hypervisor layers, the TCU continuously analyzes platform behaviour across firmware integrity, administrator access patterns, workload telemetry, and hardware signals such as voltage and thermal activity. This enables early detection of anomalies, including sophisticated side-channel attacks that attempt to manipulate system behaviour during boot or attestation.
The platform also incorporates AI-driven infrastructure efficiency capabilities. Through Dynamic Thermal Management and intelligent voltage and frequency scaling, the system can optimize cooling and compute utilization based on workload prediction. Engineering tests indicate operational savings of up to $20,000 per rack annually, which could translate to $20 million in annual savings for a 1,000-rack AI data-centre deployment.
The Cybersecurity Excellence Awards recognize companies and technologies that demonstrate measurable innovation in cybersecurity.
Axiado’s recognition reflects the growing focus on hardware-rooted security architectures as AI infrastructure expands across hyperscale cloud providers, enterprise AI deployments, and national computing initiatives.
