Harden defense processors at the silicon level with post-quantum cryptographic accelerators, quantum-safe secure boot chains, PQC-authenticated debug interfaces, and trusted execution environments. From RISC-V PQC SoC designs to AI-verified firmware integrity with quantum-safe digital signatures.
Complete system-on-chip with integrated PQC accelerators for ML-KEM and ML-DSA, QRNG entropy source, and hardware Root of Trust — purpose-built for defense processor applications.
ML-DSA verified boot chain ensures every stage from ROM bootloader through application firmware is authenticated with post-quantum digital signatures resistant to quantum forgery.
Post-quantum enhanced TrustZone and secure enclave technology with PQC-sealed storage, quantum-safe attestation, and hardware-enforced isolation for classified workloads.
Modern defense SoCs and processors rely on classical cryptography for secure boot, firmware authentication, debug port access control, and trusted execution. Quantum computers will break these protections, enabling adversaries to forge firmware signatures, bypass boot chain verification, and compromise processor trust anchors.
Debug interfaces secured with RSA or ECC authentication become exploitable attack surfaces. Trusted execution environments lose their integrity guarantees when attestation signatures can be forged. Harvest-now-decrypt-later attacks target encrypted firmware images for future quantum decryption and reverse engineering.
| Parameter | Value |
|---|---|
| Solutions Available | 5 quantum-safe solutions |
| ASIC Solutions | 4 (SoC, Secure Boot, Debug Auth, TEE) |
| Firmware & Platforms | 1 (AI-PQC Firmware Integrity) |
| AI-Integrated | 1 (AI firmware verification) |
| Standards | FIPS 203, 204, CNSA 2.0 |
| Architecture | RISC-V, Arm TrustZone compatible |
| Migration Phase | 2025-2030 (hybrid first) |
| Solution | Type | Description |
|---|---|---|
| RISC-V PQC SoC | ASIC | Complete system-on-chip with integrated PQC accelerators for ML-KEM and ML-DSA, QRNG entropy source, and hardware Root of Trust |
| QS Secure Boot IP | ASIC IP | ML-DSA verified boot chain for defense processors with multi-stage signature verification from ROM through application |
| PQC Debug Authentication | ASIC IP | Post-quantum secure debug port authentication preventing unauthorized JTAG/SWD access with ML-DSA challenge-response |
| QS TEE (Trusted Execution) | ASIC IP | PQC-enhanced TrustZone/secure enclave with quantum-safe attestation, sealed storage, and hardware-enforced isolation |
| AI-PQC Firmware Integrity | Software | ML-verified firmware with PQC digital signatures for anomaly detection, integrity validation, and secure update distribution |
| Solution | Description |
|---|---|
| RISC-V PQC SoC | Complete RISC-V based system-on-chip with dedicated PQC coprocessor implementing ML-KEM-768/1024 and ML-DSA-65/87. Integrated QRNG entropy source, hardware Root of Trust, secure key storage, and tamper-resistant design for defense-grade processor applications. |
| QS Secure Boot IP | Hard IP block implementing ML-DSA verified boot chain with multi-stage signature verification. Covers ROM bootloader, secondary bootloader, OS kernel, and application firmware. Supports hybrid classical+PQC boot for migration compatibility. |
| PQC Debug Authentication | Post-quantum secure debug port authentication IP for JTAG and SWD interfaces. ML-DSA challenge-response protocol prevents unauthorized debug access. Configurable security levels from full lockdown to authenticated debug with audit logging. |
| QS TEE (Trusted Execution) | PQC-enhanced trusted execution environment compatible with Arm TrustZone and RISC-V PMP. Quantum-safe attestation, PQC-sealed secure storage, and hardware-enforced memory isolation. Supports classified workload compartmentalization with post-quantum integrity guarantees. |
| Solution | Description |
|---|---|
| AI-PQC Firmware Integrity | Machine learning-based firmware verification platform with PQC digital signatures. Detects firmware anomalies, unauthorized modifications, and supply chain tampering. ML models trained on known-good firmware baselines combined with ML-DSA signed firmware manifests for end-to-end integrity assurance. |
| Solution | Description |
|---|---|
| AI-PQC Firmware Integrity | AI-driven firmware integrity engine combining deep learning anomaly detection with post-quantum cryptographic verification. Neural network models analyze firmware binaries for hidden backdoors, unauthorized code injection, and supply chain compromise. All firmware images are PQC-signed with ML-DSA for quantum-resistant authenticity guarantees. Continuous monitoring with automated alerting and quarantine for compromised firmware updates. |
Choose the delivery model that matches your processor platform's integration requirements.
GDS-ready hard IP blocks for direct integration into defense ASIC and SoC designs. Pre-characterized at advanced process nodes with guaranteed timing, area, and power specifications.
Pre-synthesized and placed-and-routed IP for target process nodes. Technology-mapped with side-channel countermeasures, DPA/SPA resistance, and fault injection protection built in.
PQC firmware libraries, secure boot SDKs, TEE development kits, and AI-based firmware verification tools. APIs for integration with existing processor toolchains and build systems.
Quantum-safe solutions that complement SoC and processor security.
Contact us for quantum vulnerability assessments, SoC design reviews, or custom integration of PQC accelerators into your defense processor platform.