AI-driven adaptive quantum-safe solutions that monitor, learn, and protect across all defense domains. Machine learning meets post-quantum cryptography — from cognitive crypto-agile engines that dynamically select optimal algorithms to ML-guided PQC design optimization and intelligent threat detection.
AI-driven algorithm selection that dynamically chooses the optimal PQC algorithm based on threat level, latency constraints, and link conditions. Adapts in real time as the quantum threat landscape evolves.
AI-guided design-space exploration discovers area- and power-efficient PQC hardware implementations. Neural architecture search finds optimal NTT and polynomial datapaths for constrained defense platforms.
Single-die RISC-V + NPU + PQC accelerator + QRNG. On-chip AI inference with hardware-rooted quantum-safe security for autonomous, space-denied, and SWaP-constrained defense applications.
Artificial intelligence transforms post-quantum cryptography from a static migration challenge into an adaptive, continuously optimized defense capability. Our Cognitive Defense solutions embed machine learning at every layer of the quantum-safe stack.
| Parameter | Value |
|---|---|
| Total Solutions | 10 AI-integrated solutions |
| AI Types | Classification, Detection, Optimization, Anomaly Detection |
| ML Frameworks | TensorFlow Lite, ONNX Runtime, Custom RTL |
| PQC Integration | ML-KEM, ML-DSA, SLH-DSA, QRNG |
| Platforms | FPGA, ASIC, Software |
| FPGA Targets | Xilinx UltraScale+, Intel Agilex |
| ASIC Nodes | 12nm, 7nm FinFET |
| Edge Inference | < 1ms latency, INT8/FP16 |
| Standards | FIPS 203, 204, 205, CNSA 2.0 |
| Domains Covered | All 12+ defense domains |
10 AI-augmented quantum-safe solutions spanning every defense domain — from threat intelligence platforms to edge inference SoCs.
| # | Solution | Domains Served | Type | Description |
|---|---|---|---|---|
| 1 | AI-PQC Threat Intelligence Platform | All | Software | ML-powered quantum computing threat landscape analysis with automated PQC migration planning, risk scoring, and cryptographic asset inventory |
| 2 | Cognitive Crypto-Agile Engine | Crypto, Comms, EW | FPGA, Software | AI-driven algorithm selection dynamically choosing the optimal PQC algorithm based on threat level, latency constraints, bandwidth, and operational context |
| 3 | AI-PQC Network Guardian | Comms, Networking | Software, FPGA | ML-powered real-time detection of harvest-now-decrypt-later attacks with automated response and PQC-secured alert distribution |
| 4 | ML-Optimized PQC Design IP | Crypto, Security | ASIC, FPGA | AI-guided design-space exploration for PQC hardware. Neural architecture search finds area- and power-efficient NTT, sampler, and polynomial implementations at design time |
| 5 | AI-PQC Supply Chain Verifier | ASIC, FPGA | Software | ML analysis of chip provenance, die imagery, and manufacturing data with PQC-signed chain-of-custody for trusted semiconductor supply chains |
| 6 | Federated QS-AI Training Platform | AI/ML | Software, FPGA | PQC-encrypted federated learning with secure gradient aggregation enabling multi-party AI training across coalition partners without exposing classified data |
| 7 | AI-PQC Autonomous Mission Planner | Autonomous, UAV | FPGA, Software | ML mission planning and decision support with PQC-secured decision chain, authenticated waypoints, and quantum-safe swarm coordination |
| 8 | Quantum-Safe AI Edge Inference SoC | AI, SoC | ASIC | Single-die RISC-V + NPU + PQC accelerator + QRNG for on-chip AI inference with hardware-rooted quantum-safe security in SWaP-constrained environments |
| 9 | AI-Augmented QRNG Health Monitor | All (QRNG) | Software | ML monitoring of QRNG entropy quality, bias detection, and predictive maintenance with automated failover to backup entropy sources |
| 10 | AI-PQC Radar Cognitive Security | Radar | FPGA | ML-adaptive radar waveform optimization with PQC-secured radar-to-C2 data links and QRNG-driven waveform diversity |
| Solution | Domains | Description |
|---|---|---|
| AI-PQC Threat Intelligence Platform | All | ML-powered quantum threat landscape analysis with automated PQC migration planning and cryptographic asset inventory. |
| AI-PQC Network Guardian | Comms, Networking | Real-time ML detection of harvest-now-decrypt-later attacks with automated response and PQC-secured alert distribution. |
| AI-PQC Supply Chain Verifier | ASIC, FPGA | ML analysis of chip provenance and manufacturing data with PQC-signed chain-of-custody verification. |
| Federated QS-AI Training Platform | AI/ML | PQC-encrypted federated learning with FHE-protected model aggregation for multi-party AI training. |
| AI-Augmented QRNG Health Monitor | All (QRNG) | ML monitoring of QRNG entropy quality with bias detection, predictive maintenance, and automated failover. |
| Solution | Domains | Description |
|---|---|---|
| Cognitive Crypto-Agile Engine | Crypto, Comms, EW | AI-driven algorithm selection for optimal PQC algorithm choice in real time. FPGA IP with embedded inference engine. |
| AI-PQC Network Guardian | Comms, Networking | FPGA accelerated ML inference for line-rate harvest-now-decrypt-later attack detection on network links. |
| Federated QS-AI Training Platform | AI/ML | FPGA-accelerated FHE operations for privacy-preserving federated model aggregation. |
| AI-PQC Autonomous Mission Planner | Autonomous, UAV | Edge FPGA inference for ML mission planning with PQC-secured decision authentication. |
| AI-PQC Radar Cognitive Security | Radar | ML-adaptive radar waveform generation with integrated PQC data link encryption on FPGA. |
| AI-Cognitive QS-EW Engine | EW | FPGA-based cognitive EW with ML-driven threat classification and PQC-secured effector tasking. |
| AI-PQC Signal Anomaly Detection | DSP, Radar, EW | FPGA signal processing pipeline with embedded ML anomaly detection for quantum-era signal attacks. |
| Solution | Domains | Description |
|---|---|---|
| ML-Optimized PQC Design IP | Crypto, Security | AI-guided design-space exploration for PQC ASIC/FPGA implementation. Neural architecture search discovers optimal NTT and polynomial datapaths minimizing area and power. |
| Quantum-Safe AI Edge Inference SoC | AI, SoC | Single-die RISC-V + NPU + PQC accelerator + QRNG. On-chip AI inference with hardware-rooted quantum-safe security for autonomous and space-denied operations. |
AI-augmented quantum-safe solutions embedded within each defense domain — purpose-built for domain-specific threat models and operational requirements.
| Domain | Cognitive Defense Solution | Capability |
|---|---|---|
| Radar | AI-PQC Radar Threat Classifier | ML detection of quantum-spoofed radar returns with PQC-secured classification pipeline |
| Electronic Warfare | AI-Cognitive QS-EW Engine | ML-driven adaptive EW with PQC-secured sensor-to-effector loop and cognitive jamming |
| Communications | AI-PQC Network Anomaly Detector | ML-based detection of quantum-era network intrusion and harvest-now-decrypt-later activity |
| Cryptography | AI-Powered Crypto Threat Monitor | ML monitoring of quantum computing advances with automated PQC policy adjustment |
| Electro-Optics | AI-PQC ISR Analytics | ML-powered ISR image analysis with PQC-secured classification and dissemination |
| AI / ML | AI-PQC Adversarial Defense | ML detection of adversarial attacks on AI models with PQC-protected model integrity |
| Navigation | AI-PQC Anti-Spoofing | ML detection of GNSS spoofing and meaconing with PQC-authenticated position fixes |
| Sonar | AI-PQC Sonar Classification | ML-based sonar target classification with PQC-secured acoustic intelligence distribution |
| Space & Satellite | AI-PQC Satellite Anomaly Detection | ML monitoring of satellite bus health and link integrity with PQC-secured telemetry |
| Missiles | AI-PQC Seeker Authentication | ML validation of seeker sensor data with PQC-authenticated guidance chain |
| Autonomous Systems | AI-PQC Autonomous Threat Assessment | ML real-time threat assessment for autonomous platforms with PQC-secured decision loops |
| Avionics | AI-PQC Avionics Health Monitor | ML predictive maintenance and fault detection with PQC-secured avionics data bus |
Choose the delivery model that matches your platform and operational requirements.
Synthesizable RTL with embedded ML inference engines for real-time AI+PQC processing on Xilinx UltraScale+ and Intel Agilex FPGAs. Includes INT8/FP16 neural network accelerators co-located with PQC cores.
Custom silicon combining RISC-V cores, neural processing units, PQC accelerators, and QRNG on a single die. Available as hard IP blocks for integration or standalone SoC for edge-deployed AI defense systems.
Complete software development kits with TensorFlow Lite and ONNX Runtime integration, PQC-secured model deployment pipelines, threat intelligence APIs, and federated learning frameworks.
Cognitive Defense solutions are built on and integrate with our core solution platforms.
Contact us for Cognitive Defense capability assessments, proof-of-concept deployments, or custom integration of machine learning into your post-quantum cryptography migration.