ExaForge generates, replays, and mutates network traffic at exascale. Red-team testing. AI training data. Load testing. Compliance validation. Hardware-accelerated on FPGA.
-- Generate 10 PB synthetic traffic from real attack sample CREATE VIEW "synth-adversarial-2026" AS FROM template "real-booking-attack.pcapng" SCALE to 10PB APPLY traffic-mix { fraud-pattern: 5%, customer-traffic: 95% } MUTATE headers randomize ENCRYPT level 12 -- Replay at 800 Gbps against target infrastructure REPLAY "synth-adversarial-2026" RATE 800gbps TARGET "10.0.0.0/8" DURATION 24h LOG to "s3://exaforge-results/run-001"
ExaForge turns real traffic samples into petabytes of statistically faithful synthetic data — then replays it at line rate through FPGA-accelerated hardware.
Create petabytes of realistic network traffic from small samples. Statistical fidelity preserves flow distributions, protocol ratios, and timing characteristics.
Mutate headers, payloads, and timing patterns to generate novel attack variants. Adversarial ML models evolve traffic to evade detection systems.
Replay synthetic or captured traffic at 800 Gbps per node through FPGA pipelines. Zero-copy, NUMA-local, DMA-direct to wire.
Custom packet generation pipelines on Napatech DPU hardware. Separate CPUs handle orchestration while FPGA logic generates packets at wire speed.
Generate labeled datasets for network intrusion detection, anomaly detection, and traffic classification models. No real PII required — GDPR and IRB compliant.
Full ExaScale Query Language integration. Define traffic patterns, filters, mutations, and replay schedules in a single declarative language.
Security teams, test labs, AI researchers, defense contractors, and telecom operators — anyone who needs realistic network data without the risk of using production traffic.
Generate realistic attack traffic at production scale. Test IDS/IPS, SIEM, and SOC workflows against synthetic adversaries that evolve and adapt.
Create labeled network datasets for training intrusion detection, anomaly detection, and traffic classification models. Eliminates privacy and data-access barriers.
Replay 10 Tbps+ against infrastructure to find breaking points before production. Validate capacity planning, failover, and auto-scaling under realistic conditions.
Generate synthetic datasets that mirror production traffic patterns without containing real PII. Validate GDPR, HIPAA, and PCI-DSS compliance tooling safely.
Adversarial validation of Bonafide encrypted data vaults. Stress-test three-layer encryption, duress detection, and blind validation consensus under synthetic attack traffic.
Cyber range environments with realistic traffic for training, exercises, and capability evaluation. Air-gapped deployment with classified traffic patterns.
ExaForge is a standalone product and an ExaScale OS module. It integrates with the broader Sly Technologies ecosystem.
The operating system for packets. ExaForge plugs into ExaScale's global virtual filesystem, federation control plane, and query language.
Open specification for user-sovereign encrypted data vaults. ExaForge generates adversarial traffic to validate Bonafide's cryptographic guarantees.
FPGA-accelerated hardware target. ExaForge runs on Napatech's DPU secure enclave for wire-speed generation with separate CPU + FPGA logic.
ExaForge is in research preview. We're partnering with universities on synthetic data generation, FPGA acceleration, and adversarial security validation.