Mend AI
A security tool that inventories every AI model, prompt, and dataset a company uses and flags risky or unapproved ones.
An AI coding agent built into Jira and Bitbucket that plans, writes, and reviews code using ticket and repository context.
Rovo Dev is an AI coding agent built into the Jira and Bitbucket ecosystem. Developers use it through a command-line interface or an editor extension to generate code from a Jira ticket, refactor existing code, write tests and documentation, and get a first-pass review of pull requests against a ticket's acceptance criteria. It is made by Atlassian and runs on third-party models from OpenAI and Anthropic under a zero-data-retention agreement, respecting each user's existing platform permissions. It holds SOC 1, SOC 2, and ISO 27001 certifications, but Atlassian says it is not yet HIPAA-compliant or built for data-residency requirements, which matters for regulated teams.
This fits a team already using Jira and Bitbucket or GitHub, since it reads ticket context and repository code without much extra setup. Rovo Dev Standard is rolling out with monthly credit allowances on Jira Cloud Standard, Premium, and Enterprise plans, so a company on one of those tiers can pilot it with a single engineering team at no license cost beyond usage credits. Atlassian frames it as human-in-the-loop, meaning a person still approves every suggested review comment or code change, which limits risk but also limits time savings if adoption stays shallow. Before a wider rollout, check current credit limits and confirm that HIPAA or data-residency needs are not a blocker for regulated workloads.
How one company factor at a time moves the modeled score. The published score is unchanged.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $54.4K | $85.5K | $137.2K |
| Three-year total | $118.1K | $177.9K | $274.3K |
| First-year cost per unit | $54.4K | $85.5K | $137.2K |
| Average annual cost per unit (over three years) | $39.4K | $59.3K | $91.4K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $18K | $24K | $32.4K |
| Implementation | $8.4K | $14K | $23.8K |
| Integration | $9.9K | $18K | $32.4K |
| Staff time and change management | $6K | $8.5K | $11.9K |
| Security | $4.6K | $6.5K | $9.8K |
| Administration | $3.4K | $4.5K | $6.1K |
| Support | $1.7K | $2.2K | $3K |
Estimate assumptions: This scenario uses a category-based allowance, not a verified price for this product. Based on 1 production deployment. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of Atlassian Rovo Dev and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
A security tool that inventories every AI model, prompt, and dataset a company uses and flags risky or unapproved ones.
A software delivery platform that bundles AI agents for coding, security testing, deployment risk, and cloud cost into one DevOps system.
An AI assistant built into the GitLab software platform that suggests code, answers questions about a repository, and summarizes changes.
The AI engine behind Snyk's code scanner, which finds security flaws as code is written and proposes fixes with about 85% accuracy.
Where to check the product, price, security, and support.
Research observations recorded: 1. Evidence quality: Some support.
Recorded score and category rank across research updates.
Answer a few questions about your company and compare this tool with others. The research score above stays the same.
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