Skip to content
A coach leans in and speaks a single instruction to the quarterback on the sideline before the next play.

AI generated

Coming soon to the Atlassian Jira Marketplace

Every quarterback has a coach in their ear.
Your software team deserves one too.

Backlog Whisper is a Jira plugin that reveals hidden risks and missing tasks in your backlog, before they surface in production.

Powered by your own LLM API vendor, so you always stay in control of your own backlog data.

Exposing the risks no one discovered in planning.

Backlog Whisper is for professional product owners and scrum masters who understand the value of risk mitigation and proper planning. With AI it analyzes your Jira backlog and catches the hidden security & compliance risks and tasks each story item often carries, and are often overlooked by the team:

  • Undeclared dependencies, security, DevOps and compliance gaps
  • Unclear decisions quietly left to the dev team to figure out
  • Forgotten CVEs or library updates

With Backlog Whisper you catch them before they become production incidents.

Runs inside Atlassian Forge. You bring your own LLM API key, so your backlog data stays in your control. The analysis is billed to you and never routed through us.

How a whisper appears in Jira
A Backlog Whisper finding inside Jira: a HIGH severity security risk for the story "ES-8 Bypass catalog microservice cache to rush out Flash Sale feature", where the risk found is "Client-controlled cache bypass header is exploitable," along with a suggested action. Via "Add to backlog" you move the action directly into your backlog.

Sound familiar?

Sprints fail for the same reasons.
Every time.

A security hole shipped because nobody flagged it.

The story added a public endpoint. Nobody asked who could call it. Three sprints later it is a line item on a pen-test report.

The feature was fine. The data residency was not.

EU customer data started flowing through a US-only service. Legal found out after go-live, not during planning.

The library everyone forgot has a CVE.

A dependency three versions behind just got flagged critical. Nobody remembers who added it, and nobody owns the upgrade.

No audit trail, no SOC 2.

The story deletes user records. The audit log the compliance framework requires only got added after the auditor asked where it was.

Stories were "ready." Until they weren't.

Dev starts. Day two: the API the story depends on does not exist yet. The sprint is already behind.

Decisions deferred to the dev team.

"We will figure out the data model during implementation." Three days later you are in an emergency planning session.

Why it matters

Meet every risk in planning,
while it is still cheap to fix.

Fewer mid-sprint surprises

Blockers, dependencies and undefined decisions surface while you plan, not on day two of the sprint when the team is already committed.

Cheaper fixes

The same gap costs a conversation in planning and an incident review in production. You decide where you meet it.

Estimates you can trust

Stories enter the sprint with their hidden work already visible, so the estimate covers the work that actually exists.

Built for

The people who own sprint success.

Product Managers

Catch scope gaps, compliance obligations and missing decisions before engineering starts, while changing them is still cheap. Your roll-out planning has never been more realistic.

  • Surface compliance gaps before legal does
  • Identify stories that need more definition
  • Spot when two stories pull in different directions

Scrum Masters & CTOs

Walk into planning with a second expert view on the backlog. Reveal the hidden blockers and know how to take action before the team commits, not after they are stuck.

  • Flag deployment and DevOps concerns before development
  • Flag stories that are not ready for development
  • See which stories touch expiring or vulnerable tech

30-second quiz

Is Backlog Whisper for you?

Three questions, an instant answer. No email required.

Question 1 of 3

Do you use Jira?

What Backlog Whisper catches

Four categories of insight,
calibrated for software teams.

Every finding is graded CRITICAL, HIGH, MEDIUM or LOW and arrives with the reason it matters and a concrete next step. Dismissed findings stay dismissed.

Platform Health

Scalability limits, single points of failure, and observability gaps that only show up under load.

Authentication & accessEncryption & TLSRate limitingSQL injection & XSSInfrastructure risk

Dev & Operations

Missing acceptance criteria, undeclared dependencies between stories, rollout and rollback gaps.

Cross-story dependenciesRollout & rollbackCVE & library updatesEnd-of-life techCertificate & domain expiry

AI & Data

Model choice and retirement dates, data retention, evaluation gaps, and prompt-handling risks.

Model retirement datesData retentionPrompt handlingSecret management

Legal & Compliance

GDPR, the EU AI Act, SOC 2, accessibility and consent obligations implied by what a story describes.

GDPR (paid edition)EU AI ActSOC 2 (paid edition)HIPAA (paid edition)Data residencyPII handling

Compliance frameworks are part of the paid edition.

See everything it checks, in detail

Also included: Tech Tracer

Automatic tech registry health surveillance

Stop being surprised by outdated libraries. Register the technologies you run and our Tech Tracer automatically alerts you in due time about end-of-life dates, known CVE vulnerabilities from the OSV database, and certificate and domain expiry dates. When a story touches something that is expiring or carries a CVE, that connection gets made for you.

In your Jira

What it looks like on a real backlog.

No new tool to learn and no extra dashboard to keep open. Whispers live inside the Jira backlog you already run sprints from, graded by severity and grouped in a matrix you can read in seconds.

The whisper matrix
The Backlog Whisper matrix view inside Jira, showing findings grouped by severity and category across the backlog.

See how it works

Why trust it

Grounded in more than a model.

Gated by a golden corpus

Every change to the analysis engine must pass a corpus of real-world sprint-failure scenarios before it ships. If quality drops, the change does not go out.

Named data sources

CVE and end-of-life findings come from the OSV vulnerability database and vendor lifecycle pages, not from what a model happens to remember.

Your key, your data

Runs on Atlassian Forge. Stories go only to the AI provider you choose, on your own API key, never through our servers.

Early access

Be there when it opens.

Leave your email and we will tell you the day Backlog Whisper reaches the Atlassian Marketplace, plus the occasional note on product news. Never more than twice a month, and you can leave whenever you like.