Fresh DFIR scenarios every night, calibrated to each analyst’s skill vector, with session replay and MITRE-mapped telemetry your auditors can read. One platform for security leadership buying skills uplift and training managers buying content.
LevelUp for enterprise isn’t a single SKU. Pick the product that fits your buyer — or combine two. Every product runs on REACTOR, so the content is always AI-generated, fresh, and non-leakable.
DFIR scenario training for your SOC. Multi-stage campaigns with per-user variants, platform-side grading against MITRE ATT&CK, and a REACTOR-generated challenge stream that stays fresh.
Run a branded competition on LevelUp. AI-generated, fresh per event — no writeup leakage, no shared answers between attendees.
REST API for evaluating autonomous security agents against REACTOR-generated challenges. Real-world sandboxes, not stale benchmarks.
National cyber talent programmes and university CTF curricula. Split-infra — LevelUp generates, you deploy on your own cloud.
Not isolated challenges — narrative campaigns. Seven-plus stages flowing from ticket triage through evidence analysis, MITRE mapping, onchain tracing, and executive write-up. Platform-side grading throughout.
Per-user variants via ScenarioInstance mean two analysts see the same campaign with different IOCs, actors, and timestamps. No shared answers, no writeup cribbing.
Mixed grading modes — ticket triage (verdict + IOCs + MITRE ATT&CK techniques, F1-scored) and question bank (one-answer-at-a-time, hash-compared). The analyst work that SOC teams actually do.
Our first flagship reconstructs a 2025 crypto-exchange compromise — supply-chain JS tamper, multisig delegatecall takeover, cross-chain laundering. Fictional brand, real technique fidelity.
Hand-curated campaigns built to your brief today. URL-to-scenario ingestion on the roadmap.
Every capability tied to a real buyer requirement — not a bullet on a slide.
Narrative DFIR scenarios — ticket triage, evidence analysis, MITRE mapping, executive write-up. Per-user variants via ScenarioInstance mean two analysts see different IOCs, actors, and timestamps on the same campaign. No shared answers.
Hand-curated scenarios built to your brief today. REACTOR-generated challenges against your category mix. Visible only to your team.
Keystroke cadence, tool usage, retry patterns, AI-vs-human model-specific signatures — plus every terminal keystroke and tool invocation replayable for instructor review. You can tell a learner apart from a prompt.
Per-analyst skill vector across every category. Cohort coverage maps, solve-rate trends, par ratios, time-in-category.
For sovereignty or on-prem requirements. REACTOR runs in our cloud, delivery runs on your AWS or GCP tenant — your data never leaves your infrastructure.
SAML 2.0 integration with your IdP. Training-hour attestations and control mappings aligned to GDPR, SOX, PCI-DSS, and NIST.
REACTOR’s most consequential capability isn’t generating challenges from thin air — it’s ingesting a real breach write-up and reconstructing it as a multi-stage scenario in a real Docker sandbox.
Paste a public breach report URL. REACTOR reads the advisory, extracts the attack chain (initial access → lateral movement → exfiltration → impact), and reconstructs each stage as a deterministically-varied sandbox your analysts can actually work.
Today the Designer agent generates from category + skill-vector targets. The ingestion extension hands it a structured attack-chain brief instead. Same downstream pipeline (Validator, Calibrator, Deploy) — different front end.
Written up in a rekt.news post, a CISA advisory, a vendor PIR, or a DFIR retrospective. All fair game.
There’s no logo strip on this page because we’re early and we don’t fake reference customers. What we do have is a 9-agent pipeline running in production against every challenge you’ll ever see on the platform.
Designer drafts. Static Analysis lints. Validator builds and proves solvability end-to-end. Calibrator scores difficulty. Repair patches on stage failure. Deploy hardens and ships. The Evolution Worker reruns the whole catalogue nightly. No stage is LLM-alone — every agent reads and writes to SAGE, the open-source memory framework underneath, so one agent’s lesson becomes the next agent’s starting context.
That’s the defensibility: fresh, non-leakable, validated content at a rate a manual authoring team cannot match.
A solutions engineer walks you through REACTOR against one of your rotations, SSO against your IdP, and a pricing quote shaped to your seat count.
You’ll see:
The full intake form captures your team size, compliance requirements, and timeline so the demo is tailored to your stack before we meet. Takes two minutes.