Infrastructure for hardware security in the cloud.
HaCKSEE is the cloud infrastructure layer for hardware security training. We make real hardware labs accessible through the browser.
$1M+
Federal and state support
$300K
Latest NSF award
3
University pilots scheduled
Pilot Lab 01
Active
Pilot Lab 02
Active
Pilot Lab 03
Active
Pilot Lab 04
Active
$submit_job --type fault-injection
>Allocating hardware node BOARD_02...
>Configuring glitch parameters...
>Streaming traces back to notebook...
OKResults ready for analysis
$|
The Problem
Hardware security training still does not scale.
Most cybersecurity training moved online. Hardware security did not. Equipment, setup complexity, and lab access still limit who can teach it and who can practice it.
The Solution
Cloud-accessible labs on real hardware.
We pool instrumented devices, manage access and orchestration centrally, and support beginner-to-advanced hardware security labs through the browser.
Platform
Two layers. One seamless system.
Instrumented hardware nodes at the edge. A cloud orchestration layer above. Together they deliver real hardware security capacity on demand.
Instrumented Hardware Nodes
Highly integrated development boards instrumented for beginner to advanced hardware security experiments on real devices.
Cloud Orchestration Layer
Session scheduling, node allocation, and reset flows managed through a cloud control plane.
JupyterLab Experiment Interface
Notebook-first workflows for job design, measurement, and analysis, all accessible from the browser.
Instructor Operations Console
Real-time cohort visibility, engagement analytics, and troubleshooting tools at program scale.
Shared Capacity Model
Shared hardware utilization across sessions and institutions, increasing throughput and lowering cost.
Ecosystem Integration
Built for LMS connectivity, certifications, and shared lab content.
Recognition
NSF-backed. Built for institutional pilots.
HaCKSEE has secured more than $1M in federal and state support across research, validation, and commercialization work. The June 2025 NSF award is the most recent grant backing the current platform effort.