Security infrastructure
for regulated compute.
CyberSecurityOS is a B2B platform for companies that ship code. Embed thermodynamic drift detection, signed supply-chain ledgers, and an authorized cyber range into your SOC, your SDK, and your release pipeline. Three product surfaces, one measurement substrate, joules as ground truth.
Platform
Three product surfaces.
One measurement substrate.
Sold to fintech platforms, regulated SaaS, cloud providers, and enterprise SOCs. Embedded via SDK, REST, managed service, or on-prem binary. Priced in seats, fleet size, or range scenarios consumed — not in black-box "alert volume".
Defensive Substrate
Drift detection, signed supply-chain ledgers, per-device heterogeneous-compute attribution (CPU / GPU / ANE / NPU / FPGA), JWP-signed energy receipts. Integrates into your SOC via REST, NDJSON streams, or embedded SDK.
Offensive Operator CLI →
Red-team primitives for your internal security engineering team. Binary fingerprinting, signature diffing, corpus search across look-alikes, dynamic side-channel scans with statistical leak verdicts.
Cyber Range & BAS →
Authorized offensive-capability testbed. Reproducible attack scenarios (Spectre, Rowhammer, ROP, miner implant, ANE hijack, supply-chain implant), sandboxed against your own stack, ATT&CK-scored, joule-trace attached.
Under the hood
The defensive substrate, expanded.
Program Signatures
Every binary your customer ships gets a BLAKE3 fingerprint of its expected per-instruction energy profile. Runtime telemetry from the deployed fleet is compared against the static ledger. Drift is a measurable distance, not a heuristic.
Heterogeneous Telemetry
CPU, GPU, ANE, NPU, FPGA — energy attributed per device, per class. A production service whose ledger declared only CPU work and that suddenly spends 30% on the ANE is a signal the SIEM cannot miss.
Signed Supply-Chain Ledgers
Every release you ship carries an Ed25519-signed manifest: the binary's joule fingerprint, signer identity, timestamp. Downstream verification is one BLAKE3 hash plus one Ed25519 verify — constant cost regardless of corpus size.
SOC Pipeline Integration
Drift reports arrive as NDJSON. Pipe into Splunk, Elastic, Sentinel, or your in-house SIEM with a one-line tap. Verdicts carry ATT&CK technique IDs so playbook routing is automatic.
Post-Quantum Identity
Verdicts ship as JWP ReceiptPayloads, signed via TrustOS's ML-DSA (FIPS 204) identity fabric. Receipt is the proof — downstream consumers trust the verdict without rerunning the analysis.
Fleet Agent Reference Implementation
Ship the agent with your own product, or deploy it across your own fleet. Plain-language verdicts for your ops team, structured NDJSON for your SIEM, signed known-good corpus verification for supply-chain attestation. Cross-platform native binaries.
Security is not a product category. It is a measurement.
Exploits are energy signature anomalies. A program has a physical profile: an expected number of picojoules per instruction, per class, per compute device. Injected code, speculative-execution abuse, ROP chains, side-channel exfiltration, GPU-hidden miners, ANE-resident implants — all deviate from that profile. The measurement apparatus — cycle-resolved, continuous, cryptographically attested at the silicon — has been the missing instrument. CyberSecurityOS ships it.
Sold as B2B infrastructure. Customers are fintech platforms, regulated SaaS, cloud providers, enterprise SOCs, and other Transaction Science pillars. Priced per fleet, per seat, or per scenario. Integrated via REST, NDJSON, SDK, or signed bundle. Deployed managed, on-prem, or air-gapped.
Composes with TrustOS (identity + ML-DSA signing), ExpertOS (distance functions for anomaly scoring), InformationOS (threat-intel corpus with provenance), and the open joule-sec Rust crate. Consumed by every other Transaction Science pillar that ships code and needs continuous attestation.
Capabilities
What your SOC gets when CyberSecurityOS is integrated.
Every primitive a modern regulated-compute SOC needs, delivered as a composable service — reproducible, auditable, priced by measurable cost rather than vendor-defined alert counts.
Log & Event Ingestion
Syslog, CEF, Windows Event Log, CloudTrail, Kubernetes audit, network flow. Unified schema. BLAKE3-hashed tamper-evident storage.
UEBA
User and entity behavior analytics via NCD against per-actor baselines. No trained model — just reproducible compression distance on behavioral sequences.
MITRE ATT&CK Mapping
Detections tagged with tactic, technique, sub-technique. Coverage heatmaps generated from what the environment actually sees, not from marketing.
SOAR Playbooks
Deterministic automation — isolate host, rotate key, block indicator, collect artifact. Every playbook a signed, versioned, replayable cascade.
Case Management
Incidents as case files with full provenance. Every analyst action, every artifact, every tool invocation — cryptographically signed and court-admissible.
DFIR Toolkit
Live response, memory acquisition, disk forensics, timeline analysis, Yara/Sigma rules. Results reproducible across reruns. Chain of custody as part of the data model.
Cloud Detection
CSPM + CDR + CIEM — posture, runtime, and identity risk for AWS, Azure, GCP. Distance between actual configuration and approved baseline.
Endpoint Detection
Agent or agentless process tree, file integrity, and kernel event collection. eBPF on Linux, EDR telemetry on Windows and macOS.
Vulnerability Intelligence
CVE + CWE + EPSS + KEV integrated into asset inventory. Prioritization based on exploitability measured, not surveyed.
Binary Energy Analysis
Disassemble any ELF / PE / Mach-O. Classify every instruction. Attach a picojoule estimate per op. Emit a BLAKE3 fingerprint of the energy sequence. A program's thermodynamic profile, computed statically, compared live.
Instruction-Class Ledger
Per-region breakdown of ALU, load, store, branch, SIMD, crypto, syscall, serializing. Crypto extension usage, system-call density, SIMD-width distribution — all visible as counts and joules before any execution.
Runtime Drift Detection
Live joule telemetry via JWP frames compared against the static ledger. Injected code, speculative-execution abuse, ROP chains — any path that executes joules the binary did not declare is a measurable, signed distance.
Composes With
A composable pillar, not a standalone stack.
CyberSecurityOS does not reinvent identity, distance functions, threat intel, or silicon metrology. It composes with sibling Transaction Science infrastructure and is itself consumed by every other pillar that ships code.
Identity via TrustOS
Every actor, human or service, authenticated and session-tracked. Signed playbook actions, signed case files, signed forensic evidence. Non-repudiable all the way down.
signed(action, ML-DSA)Detection via ExpertOS
Anomaly scoring as a reproducible distance function. No black-box models. Every alert explains its measurement, its baseline, and its provenance.
NCD(event, baseline)Threat Intel via InformationOS
CISA KEV, MITRE ATT&CK, CVE, MISP feeds ingested as a living knowledge base. Every indicator cited to its source. Every assertion re-verifiable.
cite(cve, nvd.nist.gov)Measurement via joulesperbit
Cycle-resolved joule accounting at the silicon. The Joule Wire Protocol ships energy in every frame header. The joule-sec crate disassembles binaries and computes their expected thermodynamic profile.
ledger.signature = BLAKE3(Σ pJi)Who buys CyberSecurityOS.
Matching engines, payment rails, custody services. Drift detection on every deploy, signed ledgers for supply-chain attestation. Comp set: Chainguard, Wiz.
Offer thermodynamic integrity to your own customers as a managed tier. REST + signed bundles + fleet agent SDK. White-label friendly.
Banks, healthcare, defense primes, critical infra. Drift detection feeds your existing SIEM. Comp set: CrowdStrike, SentinelOne, Palo Alto Cortex.
TradingOS, Settlement, LegalOS, Veritas, MedicineOS, TrustOS — every pillar that ships code embeds CyberSecurityOS for continuous attestation.
Infrastructure
Fifteen siblings. One architecture.
CyberSecurityOS is the detection and response layer. Every other Transaction Science platform produces events it ingests, and every other platform depends on it for continuous monitoring.
TradingOS
Matching engine, pre-trade risk, settlement, surveillance.
ComplianceOS
Continuous compliance across 50+ frameworks and 195 jurisdictions.
Veritas
Tax computation with IRC citation provenance.
LegalOS
Global legal corpus structured as a programmable system.
InformationOS
Library science for the AI era. Knowledge, provenance, citations.
ExpertOS
Measurement as resolution. The distance function as authority.
TrustOS
Identity substrate. WebAuthn, OAuth, SAML, DID, post-quantum crypto.
Insights
Energy-aware cloud intelligence and CSRD carbon reporting.
InsuranceOS
Underwriting, claims, actuarial science, and reinsurance.
TerraOS
AI-native real estate operating system for the whole deal.
DestinationOS
DMO as a service — inventory, arbitrage, visitor routing.
EducationOS
The global university and school system as infrastructure.
MedicineOS
Global medical curriculum encoded for the AI doctor economy.
Settlement
Stocks, crypto, and cash in one consumer account.
TX Science TV
24/7 live broadcast across every Transaction Science vertical.