Mend AI
A security tool that inventories every AI model, prompt, and dataset a company uses and flags risky or unapproved ones.
An AI layer on a code security scanner that sorts findings by real risk and drafts fixes, cutting how much developers review by hand.
Semgrep Assistant is an AI layer on top of Semgrep's static application security testing product, which scans source code for vulnerabilities using pattern-based rules. Assistant reviews each finding, learns from how a security team triaged similar issues before, and automatically marks low-risk findings so engineers spend less time on manual review. For issues that need fixing, it writes step-by-step fix guidance directly into the pull request so a developer can resolve it without a security specialist. Semgrep reports its security researchers agree with the tool's triage decisions 96% of the time in internal testing. It is built by Semgrep and runs as part of its cloud platform.
This fits a team already running Semgrep, or considering it, whose security findings outpace what staff can manually review. Semgrep's Team plan is near $30 to $35 per contributor per month and includes AI triage with a monthly cap on AI-assisted actions, while the full platform is free for teams of up to 10 contributors and 10 private repositories, making a no-cost pilot realistic. Semgrep states this can cut manual triage volume by about 20% once turned on. Watch two things: do not rely on AI triage decisions without occasional spot checks, and watch the monthly AI-action cap on paid plans, which a busy team can run through before month's end.
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: Based on 1 production deployment. This is a planning allowance, not verified product pricing. 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 Semgrep Assistant 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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