Protect FPGA bitstreams, configuration chains, and on-chip intellectual property against quantum computing threats. From PQC-encrypted bitstream delivery to AI-powered configuration integrity monitoring with quantum-safe security across every FPGA platform layer.
ML-KEM key exchange combined with AES-256 encryption for FPGA configuration bitstreams, preventing quantum-enabled interception and reverse-engineering of proprietary FPGA designs and defense IP.
ML-DSA signed authentication chain for FPGA bitstream loading, ensuring only verified and untampered configurations are accepted by the FPGA fabric during power-on and reconfiguration cycles.
Runtime-switchable PQC algorithm support for FPGA platforms, enabling seamless migration between post-quantum algorithms as standards evolve without hardware replacement or full redesign.
FPGAs are the backbone of reconfigurable defense electronics, powering radar signal processing, electronic warfare receivers, communications encryption, and sensor fusion. Their bitstreams contain critical defense intellectual property — and every configuration transfer uses encryption that quantum computers will break.
FPGA bitstream interception enables adversaries to reverse-engineer classified signal processing algorithms, clone defense hardware, or inject malicious logic into reconfigurable platforms. Configuration spoofing and IP theft represent existential threats to FPGA-based defense systems in the quantum era.
| Parameter | Value |
|---|---|
| Solutions Available | 5 quantum-safe solutions |
| FPGA IP Solutions | 4 (bitstream encryption, secure boot, anti-tamper, crypto-agile) |
| Firmware & Platforms | 1 (AI integrity monitor) |
| AI-Integrated | 1 (FPGA integrity monitor) |
| Standards | FIPS 203, 204, CNSA 2.0 |
| Migration Phase | 2025-2030 (hybrid first) |
| Solution | Type | Description |
|---|---|---|
| PQC Bitstream Encryption | FPGA IP | ML-KEM key exchange combined with AES-256 for FPGA configuration encryption, preventing quantum-enabled bitstream interception and reverse-engineering |
| QS-Secure Boot for FPGA | FPGA IP | ML-DSA signed FPGA bitstream authentication chain ensuring only verified configurations load during power-on and reconfiguration |
| PQC Anti-Tamper for FPGA | FPGA IP | Quantum-safe zeroization and tamper response protecting FPGA platforms from physical and logical tampering attacks |
| Crypto-Agile FPGA Security Suite | FPGA IP | Runtime-switchable PQC algorithms for FPGA platforms enabling seamless algorithm migration without hardware replacement |
| AI-PQC FPGA Integrity Monitor | Software | ML detection of FPGA configuration anomalies with PQC-signed integrity reports for quantum-safe chain-of-trust verification |
| Solution | Description |
|---|---|
| PQC Bitstream Encryption | FPGA IP core implementing ML-KEM-768 key exchange with AES-256-GCM bitstream encryption. Protects configuration data during transfer and at rest, preventing quantum-enabled interception and reverse-engineering of proprietary FPGA designs and defense algorithms. |
| QS-Secure Boot for FPGA | ML-DSA signed bitstream authentication engine that validates every FPGA configuration load against a post-quantum root of trust. Supports multi-stage boot chains with rollback protection and secure fallback to known-good configurations. |
| PQC Anti-Tamper for FPGA | Quantum-safe zeroization controller with tamper detection and automated response. Monitors physical and logical tamper indicators and triggers PQC-authenticated key destruction and configuration wipe when tampering is detected. |
| Crypto-Agile FPGA Security Suite | Runtime-switchable PQC algorithm framework for FPGA platforms. Supports hot-swapping between ML-KEM, ML-DSA, SLH-DSA, and future algorithms without FPGA reconfiguration, enabling continuous compliance as post-quantum standards evolve. |
| Solution | Description |
|---|---|
| AI-PQC FPGA Integrity Monitor | Machine learning software for detecting FPGA configuration anomalies including unauthorized bitstream modifications, configuration drift, partial reconfiguration attacks, and supply chain tampering. All detection results and integrity reports are PQC-signed for quantum-safe chain-of-trust verification across the FPGA lifecycle. |
| Solution | Description |
|---|---|
| AI-PQC FPGA Integrity Monitor | Machine learning model trained to detect FPGA configuration anomalies including unauthorized bitstream modifications, partial reconfiguration attacks, configuration drift, and supply chain compromise indicators. Integrates with PQC secure boot and anti-tamper systems for automated response and quantum-safe integrity reporting across the full FPGA deployment lifecycle. |
Choose the delivery model that matches your FPGA platform's integration requirements.
Complete source cores for integration into your FPGA design flow. Includes testbench, verification suite, and platform-specific integration guides for Xilinx, Intel, Microchip, and Lattice families.
Optimized netlists targeted to specific FPGA families with guaranteed timing closure, resource utilization reports, and pre-verified placement constraints for accelerated integration.
Software development kit for AI-PQC integrity monitoring, configuration management, and PQC key lifecycle operations. Includes APIs, drivers, and reference applications for embedded processors.
Quantum-safe solutions that complement FPGA platform security.
Contact us for quantum vulnerability assessments, solution evaluations, or custom integration for your FPGA-based defense systems.