> ## Documentation Index
> Fetch the complete documentation index at: https://quintsecurity.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Changelog

> Release history and implementation progress for the Quint platform

# Changelog

Release history for the Quint platform. Each entry maps to a tagged release and documents what was built, what changed from spec, and what's next.

<CardGroup cols={1}>
  <Card title="Intent Model (Preview, in development)" href="/changelog/intent-model-preview">
    On-device intent model that judges whether an agent's stated intent licenses its actions. Model proposes, scope disposes; conversation text stays on the endpoint; per-policy-key calibration. Leak-free evaluation methodology established; on-device encoder upgraded to a larger, more capable model. Pre-GA, no accuracy claims yet.
  </Card>

  <Card title="v1.0.3 — Session Attribution & Edge Stability" href="/changelog/v1-0-3">
    session\_id + process\_pid on every audit row, decoded timeline API (/api/sessions/timeline), NE CPU watchdog fix (99% loop → 50ms poll budget), SSE chunked-framing fix, historical sessions visible in viewer after process exit.
  </Card>

  <Card title="v1.0.2 — Rule Engine + 143-dim Features" href="/changelog/v1-0-0#v102--rule-engine--143-dim-features-april-15-2026">
    GraphReasoner: 90 inference rules, 11 compliance frameworks, baseline-aware scoring, capability-based tool detection. GNN features extended from 38-dim to 143-dim with rule firing bits. 0.133ms per event, 282 tests.
  </Card>

  <Card title="v1.0.1 — Accuracy Hardening" href="/changelog/v1-0-0#v101--accuracy-hardening-april-15-2026">
    Multi-level GNN detector (4 levels), learned ensemble via logistic regression, 50K **synthetic** training sessions. Reported AUROC 1.000 on that synthetic set — memorisation of the generator, not deployment accuracy; see the banner on the release page. The GNN will not be built as described.
  </Card>

  <Card title="v1.0.0 — Graph Intelligence Engine" href="/changelog/v1-0-0">
    P5 complete. Memgraph graph database, VGAE autoencoder, 5-stage BI Service pipeline, signature distillation, full intelligence loop (proxy → graph → GNN → signature → fleet). 191 BI tests, 11 bugs fixed via bug bounty, 6,577 events/sec throughput.
  </Card>

  <Card title="v0.9.0 — Behavioral Intelligence Engine" href="/changelog/v0-9-0">
    P2-P4 complete. Full behavioral scoring pipeline (Gates 1-3, flow sketches, group envelopes), multi-proxy sync (Redis, NATS, serialization), Behavioral Intelligence Service (Python), threat signatures, baseline floors, CA encryption. 38 tickets, 28,700 LOC, 513 tests.
  </Card>
</CardGroup>

## Upcoming

| Version | Scope                                                                         | Status      |
| ------- | ----------------------------------------------------------------------------- | ----------- |
| v1.1.0  | P6 — Compliance (SOC2, NIST, ISO frameworks, audit export)                    | Not started |
| v1.2.0  | P7 — Adaptive (federated intelligence, threat simulation, dynamic thresholds) | Not started |