DORA · DevSecOps · Secure SDLC
>_why did change failure rate rise?

Metrics that show their work.

Defynra is the delivery observatory for software organisations: DORA-lens performance, DevSecOps signal, and secure-SDLC posture — where every number on every board drills down to the governed record that made it true. Click all the way to the bottom; there's something real there.

Read-only by construction Every number cites its record Arabic + English Kubernetes-native
Change failure rate · trailing 30d
4.2%
definition · failed production deployments ÷ total, per environment promotion · statistic: proportion · window: 30d
deploy payments-svc → productiondpl-4212#a41f…9c
change request · approved by CTO officechg-1187#77b0…e4
pipeline run · all gates greenpip-9033#c9d2…1a
post-incident review · concludedrev-0552#02fe…b7
Not another chart. The record.
Ask the number why

Every number is a question you can ask

Dashboards end in charts. Defynra ends in answers. Behind every board sits a governed assistant with the full context of your delivery system — so "why?" isn't a week of screenshot archaeology across five tools. It's the next message.

Defynradelivery · governed · cited
Why did change failure rate rise this month?

Three of eleven production deployments failed in the last 30 days — all three carried changes to the payments service, all three passed the pipeline, and two were approved under an active policy exception that expires next week. Here are the deployments, the approvals, the incident reviews, and the exception record.

dpl-4212 · dpl-4198 · dpl-4177 chg-1187 approvals incident reviews × 3 exception EXC-31 · expires 7d
Analytics by AI

Not a dashboard. An analyst.

Charts show you what. Defynra's AI works the so-what: it reads every board the way a good delivery analyst would — correlating the failed deployments with the expiring exception, the rising lead-time tail with the queue that started it, the silent scanner with the release it should have gated — and writes what it found, with a citation on every claim.

It narrates

Every board, read for you

An AI-written read of the current picture — what moved, what didn't, what's driving it — regenerated as the data changes. Numbers for scanning; narrative for understanding.

It briefs

The delivery brief, authored

A periodic brief: performance against your own baselines, posture shifts, expiring risk acceptances, triggers fired — every sentence cited to a governed record. The review starts at "what do we decide."

It notices

Anomalies explained, not flagged

A step change with no delivery change behind it, a distribution collapsing onto its target — surfaced with the AI's hypothesis and the evidence for and against. When a measure looks gamed, the finding targets the measure's design, never a team.

delivery-brief · week 31 · composing…
Delivery. 11 production deployments (target ≥3/wk, met). Lead time p85 held at 26h; the p95 tail widened to 74h — driven by two changes queued on the payments freeze. [dpl-…, frz-009]
Security. Scan coverage 94% — container scanning silent on 2 repos since Tuesday; rendered not-evidenced, gate impact on next release. [scan-cov, rel-2026.31]
Risk. Exception EXC-31 expires in 7 days and gated two of this month's failed deployments — recommend review before renewal. [exc-31, chg-1187]
Triggers. 1 fired: critical vulnerability reached production (§23.5-d). Evidence attached; corrective action drafted, awaiting a human to raise it. [trg-114]
Written by the AI. Backed by the record. Signed off by you.
Domain 1 · Delivery performance

The DORA lens — computed, never surveyed

From your actual pipelines, environments, and deployments. Lead time renders as p50 / p85 / p95 together — the mean hides exactly the tail that breaks your commitments. And every metric prints its own definition beside the value, because a number without one is a defect.

11/wk
Deployment frequency
production-tier promotions · per service · window 7d
26h p85
Lead time for changes
commit → production · p50 9h · p95 74h · window 30d
4.2%
Change failure rate
failed prod deployments ÷ total · proportion · window 30d
1.8h
Recovery time
failed deployment → restored · median · Sev 1/2 · clock stated

No industry tiers. On purpose. The famous Elite/High/Medium/Low bands no longer exist — and they were built from survey buckets, not systems like yours. Defynra benchmarks you against the only honest comparator: your own baselines, cited and versioned.

Domain 2 · DevSecOps signal

A skipped scan produces zero findings — and passes your gate.

That's the hole in most security dashboards: they count what the scanners found, not whether the scanners ran. Defynra's organising rule is coverage first, findings second — a repository with security scanning configured but silent renders red, not blank. Absence is the loudest state on the board.

94%
Scan coverage
SAST · SCA · container · secrets · IaC · DAST — executing, not configured
NOT EVIDENCED
container scan · 2 repos
silent since Tue · blocks release gate · named, never blank
3expiring
Risk acceptances
an accepted High is a debt with a due date · expiry is a first-class alert
The queue reorders itself

Severity-first remediation is the industry default and its quietest waste: research on real-world exploitation shows severity-driven queues spend most of their effort on vulnerabilities that are never exploited. When exploitability data is available, Defynra makes it the sort order of your remediation queue — not a decorative column.

Governance no scanner can see

Release-gate evidence per release with missing scans blocking-red. Policy exceptions grouped by control — "three exceptions on the same control this quarter" is a glance, not an audit finding you learn about later. Corrective actions with age and trigger. Document control in every language you're obligated to maintain.

The insight engine

It watches, so your reviews don't have to

Your governance already defines the moments that demand a human decision — a control breach, a critical incident, a critical vulnerability reaching production, repeat exceptions on one control. Defynra detects those moments when they fire, arrives with the evidence attached and a corrective action pre-drafted for a human to raise. It never raises it itself. The observatory taps you on the shoulder; the decision stays yours, named and audited.

measured — baseline established, target cited interim — series shown, control limits refused not evidenced — the instrument didn't run: the headline

The zoom-out test. A one-day outage visible at the 7-day view is still visible at the 90-day view. Defynra stores full distributions, not pre-cooked averages — widening the time axis can't erode your incidents into a smooth line. Try that on your current dashboard.

Cloud native, to the bone

Born on Kubernetes. Watching Kubernetes.

Defynra is cloud native in both directions. It runs cloud native: every customer gets an isolated instance provisioned declaratively on Kubernetes by an operator — upgrades are a configuration change rolled out by reconciliation, not a maintenance window. And it watches cloud native: environments are first-class objects — which tier is production, what was deployed there, when, from which pipeline, approved by whom. Deployment frequency and recovery time are computed from real environment promotions, not from tickets that claim a release happened.

Where your platform emits the signals, Defynra renders the cloud-native supply chain as posture: image signing and attestation coverage, SBOM presence, admission-policy conformance — each honestly marked as a measured control or an introduced one, so a green tile means what it says.

What we refuse to build

Most products compete on what they add. Defynra competes on what it declines.

No per-developer analytics. Ever.

Delivery performance is a system property; individual metrics measure constraints, not skill — and they bend the work toward the measure.

No composite "health score."

One number for engineering health asserts an exchange rate between security and speed that your organisation never agreed to.

No configurable thresholds.

Your measurement register is the single source of targets. Copies drift; drift lies.

No invented control limits.

An immature measure gets its series and a caveat — not statistics it can't support.

No hidden measures.

Anything measured is visible to those measured. When a metric looks gamed, the finding is raised against the measure's design — never against a team.

The Zyndax family

Your company runs on Zyndax. Your delivery runs on Defynra.

Defynra is the extended Zyndax — the same agentic platform your teams use for daily operations, specialized for Delivery Operations: DORA-lens performance, DevSecOps signal, secure-SDLC posture, and the release gate. One platform, one memory, one audit trail — two surfaces. The whole company converses with Zyndax; Delivery Operations sees with Defynra.

Meet Zyndax →

Shared memory.

The observatory and the business it observes remember the same facts — the approval your board tile cites is the record your assistant quotes.

Shared governance.

Read-only extraction, human confirmation on consequential actions, tamper-evident audit — inherited, not re-implemented.

Shared identity.

A board renders only what the viewer may see; restricted findings say restricted, not zero.

Roadmap

We ship the honest version first

Boards go live with real data behind them — and where an instrument isn't wired yet, the tile says "not evidenced" instead of pretending. That's not a gap in the product; it is the product.

Now — available

  • Security posture boardScan coverage + findings, fed live by the built-in security testing engine.
  • Delivery connectorsJira + GitLab ingestion — read-only credentials, by construction.
  • The governed platformAssistant, organisational memory, audited operations, isolated instances.

Next — rolling out

  • Delivery performance boardThe DORA lens from your pipelines, definitions printed beside every value.
  • Measurement register importYour measures, targets and baselines — read with provenance, never configured.
  • AI-narrated boards & the delivery briefCitation-backed reads on every board; the periodic brief authored end-to-end.
  • The trigger surfaceGovernance rules detected as they fire, corrective action pre-drafted.

Later — planned

  • Deeper Kubernetes integrationSupply-chain posture read from the cluster: signing, attestation, SBOM, admission policy.
  • Governance & operate boardsExceptions by control, SLA attainment, error-budget burn, portfolio.
  • Self-serve demo instancesAn isolated, seeded, auto-expiring demo — launched from this page.
Launch a demo

Watch your own system, not a sample video.

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