Mend AI
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.
Harness is a software delivery platform that combines CI/CD pipelines, feature flags, and cloud cost management, with AI agents on top. Engineering teams use the Software Delivery Agent for pipeline recommendations, the Security Testing Agent to scan code and flag real vulnerabilities instead of false positives, and the Cost Management Agent to track and reduce cloud spending by team. Its AI assistant, AIDA, is included even in the free tier. It is made by Harness Inc. and priced per developer across separate modules, so a team can start with one, such as CI, and add others like feature flags or security testing as needs grow.
This fits a team that wants to combine several DevOps tools, such as a CI system, a deployment tool, and a security scanner, into one platform with shared AI features rather than buying each separately. A good starting point is a pilot on the free tier or the all-in-one Essentials bundle using just one or two modules before expanding. Published estimates put a full deployment covering CI, CD, feature flags, and security testing in the low hundreds of thousands of dollars a year and up, so treat any figure as a planning estimate and get a quote for your actual module mix. The main risk is scope: a team that turns on every module at once can end up managing a large, complex contract before using most of it.
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 Harness AI 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.
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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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