Event-native AI defense for sovereign systems.

Størm Engine decides as events occur—binding telemetry to post-quantum trust, GPU acceleration, behavioural analysis, and graph containment.

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The problem no one wants to own

Digital trust is breaking faster than security can respond.

Modern systems were never designed for AI-driven attacks, quantum-era threats, or event volumes at national scale. Today’s defenses react after damage is done— reconstructing incidents long after trust has already failed.

Speed

Attacks operate at event speed. Human-in-the-loop response arrives too late.

Fragility

Trust is assumed—not enforced—across identities, telemetry, and models.

Future Risk

Encrypted data today may be compromised tomorrow by quantum adversaries.

Security that reacts after the fact is no longer security. It is incident reporting. Størm Engine enforces trust at the moment the event occurs.

Event-level intelligence

Enforce trust across every layer in real time.

Post-quantum trust, deterministic pre-processing, and GPU acceleration fused into one defense plane.

AI Defense

Behavioural AI that models sequences, rhythms, and invariants.

Quantum Resilience

PQC sessions, artifact signing, and sealed audit trails.

Explore Quantum Security

Digital Asset Assurance

Validator integrity, signing oversight, and bridge/oracle monitoring.

Explore Blockchain

Størm Engine decides per event—policy-first decisions with cryptographic trust continuity and evidence-grade audit.

Decision posture

From event to enforcement in bounded latency.

Deterministic semantics, GPU acceleration, behavioural state, and graph reachability fuse into a bounded decision object.

Sovereign platform overview
Decision intelligence interface
Evidence-grade assurance

Assurance you can prove.

Signed models and policies, PQC session binding, and sealed evidence across every decision.

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  • PQC session binding with anti-replay admission controls.
  • Deterministic feature schemas with versioned governance.
  • Behavioural invariants fused with policy-first decisions.
  • Graph reachability and blast-radius containment.
  • StørmVault evidence sealing for long-horizon audit.
Capabilities

Every layer, one intelligence system.

Threat detection interface
Event admission

Trust the event before the model

PQC admission, schema validation, and deterministic features preserve semantics and causality. This reduces false positives and accelerates containment decisions.

  1. Canonical envelopes with anti-replay ordering.
  2. Inline enrichment for enforcement-grade context.
  3. Signed feature schemas to prevent drift.
Quantum security interface
Post-quantum trust

Cryptography embedded in the pipeline

PQC sessions secure telemetry, models, and evidence against harvest-now, decrypt-later. This lowers long-horizon compliance risk for regulated programs.

  1. ML-KEM session binding with epoch rotation.
  2. ML-DSA signing for models, policies, and schemas.
  3. Sealed audit trails in StørmVault.
Blockchain assurance dashboard
Digital asset integrity

Secure validators and signing flows

Monitor consensus, signing cadence, and custody operations with behavioural baselines. This reduces custody exposure and improves stakeholder confidence.

  1. Validator health and peer reachability.
  2. Signing ceremony and HSM/KMS oversight.
  3. Bridge/oracle blast-radius containment.
Størm Engine analytics
Decision plane

AI at the moment of action

GPU micro-batching, behavioural state, and graph reasoning produce bounded decisions. This keeps enforcement SLAs predictable during incident surges.

  1. Priority scheduling for enforcement-critical streams.
  2. Graph reachability and blast-radius computation.
  3. Policy-first decisions with explainable rationale.

Ready to enforce trust at event speed?

Move from retrospective alerts to bounded decisions with evidence-grade audit.

Request a demo

Talk with the Størm Engine architecture team

Discuss deployment, integration, and assurance for high-assurance environments.

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