REAGRIND: Analyze, Rewrite, and Secure GPU Binaries
REAGRIND automates GPU binary analysis, vulnerability detection, GPU Bill of Materials (GBOM) generation, and runtime instrumentation for AI accelerator security research.
Need
GPU binaries are becoming a major security blind spot. Critical AI workloads rely on proprietary GPU code and firmware that traditional security tools cannot inspect. Without visibility into these binaries, organizations face increased supply-chain, firmware, and vulnerability risk.
Solution
REAGRIND makes GPU security visible. It analyzes, rewrites, and instruments closed-source GPU binaries, generating GPU Bills of Materials (GBOMs), identifying vulnerabilities, and validating findings on real hardware.
- Analyze GPU machine code and firmware
- Generate CycloneDX-compatible GBOMs
- Detect CWEs and known CVEs
- Instrument binaries for runtime validation
- Support NVIDIA, AMD, and Intel GPU ecosystems
The result: actionable security insights for AI accelerators, GPU firmware, and deployed AI systems.
What REAGRIND Delivers
Key Benefits
- GPU Visibility: Analyze previously inaccessible GPU machine code.
- Supply-Chain Assurance: Generate comprehensive GPU Bills of Materials and identify known vulnerabilities.
- Actionable Security Research: Move from static findings to runtime validation.
- Multi-Vendor Coverage: Support NVIDIA, AMD, Intel, firmware, and AI model artifacts.
Proven Performance
- Seven-stage GPU security analysis pipeline
- GPU disassembly, decompilation, and binary rewriting
- Runtime instrumentation validated on NVIDIA Tesla T4 and A100 hardware
- CycloneDX-compatible GBOM generation
- Analysis of GPU firmware, VBIOS, Falcon, and GSP components
REAGRIND for You
- Flexible licensing and subscription models
- Available on-premises and air-gapped
- Expert support from binary analysis specialists, delivering full reverse engineering and security evaluations
