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See how Quantlyx maps to the 2026 Top Ten for Agentic Applications, including the gaps.

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Ready for pilot: QuantQFix, threat remediation with a playbook per finding and a person approving every action.

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Accountability was built for a world where people made the changes

Every control in your software development lifecycle assumes a named human at the other end: a reviewer, an approver, a leaver to offboard. That assumption held for thirty years. It stopped holding the week a coding assistant merged its first pull request under someone else's credential.

Quantlyx exists to make the assumption true again — not by slowing anything down, but by making it possible to say, with evidence, who or what actually made a change and whether anyone approved it.

What was approved

  • Change tickets, release approvals and their approvers
  • Code ownership, review requirements and exemptions
  • Entitlements, certifications and revocations
  • The accountable human, named on the record

What was done

  • Commits, merges and who or what authored them
  • Build identities, signing keys and artefact provenance
  • Deployments, rollbacks and the principal behind each
  • Runtime credentials and every checkout of them

An approval is a decision in one register and a machine identity in the other. Only the difference tells you who really shipped the change.

What we hold ourselves to

Every finding carries its evidence

No confidence scores standing in for proof. If Quantlyx says a bot deployed after its entitlement was revoked, it hands you the deployment record and the revocation record, both with identifiers you can look up yourself.

We publish what we do not cover

The threat mapping names the entries Quantlyx addresses in part and the ones it does nothing for, and points at the tooling that does.

The reconciliation core never takes write access

Any capability that acts on a finding is a separate, opt-in component with its own scoped, short-lived credential and a human approving each action. Discovery and response never share a permission.

A clean result is a valid result

If a pilot reconciles cleanly, we say so and you keep the report. We would rather lose the deal than manufacture a finding to justify one.

Where Quantlyx goes next

Two things follow reconciliation: asking the register questions in plain language, and acting on a finding without copying identifiers between four consoles at midnight. Both follow the same rule: the part that reads never gains the power to act.

Shipping today

The reconciliation core

  • One register of every actor
  • Differences with evidence
  • Owner routing and closure tracking
In design

An assistant that only knows your register

  • Ask in plain language, get the actors and evidence
  • Every answer cites the source record
  • Says it does not know rather than guessing
Ready for pilot

QuantQFix guided response

  • A playbook per finding type
  • Actions proposed, never taken unattended
  • Scoped, short-lived credentials per action

The reconciliation core is shipping and QuantQFix is ready for pilot. The assistant is in design and has no date.

An assistant distilled down to one job

A compact model distilled for this domain, deployed inside your tenant and pointed at nothing except the register it already built. No tools, no write path, no route to the internet.

Why distilled rather than large

  • Runs on hardware you already have, inside the boundary, with no data egress
  • A narrow domain can be measured against a fixed set of questions
  • Cheap enough to run per query without a per-seat licence conversation
  • No third-party model provider in your change record

What it will refuse to do

  • Answer from anything it cannot cite
  • Read your source code, tickets or documents
  • Take an action, open a ticket or change a permission
  • Speculate about intent, blame a person or infer a motive
Assistant · in-tenant · grounded in run 14 · no external calls
Which bots can deploy to payments production without a current approval?
Two. deploy-bot-eu deployed on 2 September with an entitlement revoked on 12 August. artifact-promoter holds a production promotion role certified against an owner who left on 3 June. A third, release-runner-apac, has the role but has not used it this quarter.evidence: deployment 8841-c · revocation CERT-2291 · role grant IAM-7734
Has this pattern shown up in retail banking as well?
Retail banking is not in the scope of any completed run, so there is nothing to compare against. Add it to a scope and the question becomes answerable.no evidence available — answer withheld

Design intent, not a shipped feature. Wording and behaviour will change before release.

Ready for pilot as QuantQFix

Response with a person on every action

A finding today ends with an owner and a piece of evidence. What happens next is mechanical and slow: open the privileged access platform, find the credential, rotate it, open the governance platform, close the entitlement, write the change record. That is where findings go to age out.

Guided response packages each step as a playbook the owner reviews and approves. Quantlyx proposes; a human decides; a scoped credential executes; the whole exchange lands in the evidence trail.

1

Finding

With evidence

2

Proposed action

A playbook step

3

Human approval

Cannot be skipped

4

Scoped execution

Short-lived, one use

5

Evidence trail

Proposal and outcome

Declined at the gate, the finding simply stays open. The approval gate is not configurable away. No playbook runs unattended.

See the playbooks for each threat

Separate credential, separate component

The reconciliation core keeps its read-only credential and never gains another. Response runs as its own component with its own permission, granted per playbook and withdrawable without losing your findings.

Short-lived and scoped to one action

A credential issued to rotate one secret can rotate that secret, once, within a window. No standing privilege sits waiting for the next incident.

The proposal is evidence too

What was proposed, who approved it, what actually ran and what the source system reported afterwards all land in the same trail as the finding that started it.

Reversible first

The early playbooks are the ones you can undo: rotating a secret, removing a role, opening a change record. Anything that could stop a release stays a proposal you carry out yourself.

QuantQFix is ready for pilot, not yet generally available. Prove it in a pilot on one lifecycle path before relying on it in a purchasing decision.

ID entitlement. Rank by risk. Remediate.

Start with a two-week, read-only pilot against one lifecycle path. If nothing turns up, you keep a clean report.