Mend AI
A security tool that inventories every AI model, prompt, and dataset a company uses and flags risky or unapproved ones.
An AI assistant built into the GitLab software platform that suggests code, answers questions about a repository, and summarizes changes.
GitLab Duo is an AI assistant built into GitLab's software development platform. Developers get inline code suggestions as they type, ask Duo Chat questions about a repository, and receive AI-written summaries of merge requests. Duo also explains security vulnerabilities found by GitLab's built-in scanners, linking a plain-language cause to each flagged issue. In January 2026, GitLab launched the Duo Agent Platform, which runs multi-step coding and testing tasks and bills usage through GitLab Credits at $1 per credit. Admins manage Duo through GitLab's usual settings for user roles, single sign-on, and audit logs, so no separate console is needed.
This fits a team that already runs GitLab for source control, CI/CD, and issue tracking, since Duo works inside that existing setup without adding a new tool. A good starting point is turning on Duo Core, which comes with the Premium plan near $29 per user per month, then piloting Duo Pro, near $19 per user per month, with one or two development teams before adding the newer agentic features. Confirm current pricing with GitLab, since packaging has changed more than once. The main risks are cost creep from the new credit-based agent billing, which is usage-based and harder to predict than a flat seat fee, and teams skipping human review of AI-suggested code changes, especially security fixes.
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 GitLab Duo 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.
Why it’s an alternative—
Compare with Mend AIAn AI coding agent built into Jira and Bitbucket that plans, writes, and reviews code using ticket and repository context.
Why it’s an alternative—
Compare with Atlassian Rovo DevA software delivery platform that bundles AI agents for coding, security testing, deployment risk, and cloud cost into one DevOps system.
Why it’s an alternative—
Compare with Harness AIThe AI engine behind Snyk's code scanner, which finds security flaws as code is written and proposes fixes with about 85% accuracy.
Why it’s an alternative—
Compare with Snyk DeepCode AIWhere 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.
Want help moving from research to action? Explore TriVista’s AI consulting services →