Software Delivery, Testing, and DevOps AI
85TriVista score
Mend AI
A security tool that inventories every AI model, prompt, and dataset a company uses and flags risky or unapproved ones.
Snyk DeepCode AI
AI tool profile ·
The AI engine behind Snyk's code scanner, which finds security flaws as code is written and proposes fixes with about 85% accuracy.
73TriVista score
Category rank#5 in Software Delivery, Testing, and DevOps AI
Baseline ELO1,491.0
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At a glance
What it does
DeepCode AI is the AI engine that powers Snyk Code, a static code scanning tool. Developers run Snyk Code inside their editor, command line, or source control platform to catch security vulnerabilities as code is written, and it proposes an automatic fix for many of them. Snyk states the engine was trained on millions of open-source projects with verified fixes, not on customer code, and covers 19 or more programming languages. It ranks each finding by factors like how popular the affected package is and whether the vulnerable code path is actually reachable, so teams focus on real risk over raw counts. Snyk reports roughly 85% accuracy on its suggested autofixes.
Where it can help
This fits a team that wants security scanning built into normal developer workflow rather than a separate audit step late in the release cycle. The Free plan allows 100 scans a month across up to five projects, enough to pilot on one or two active repositories; the Team plan starts near $25 per developer per month with higher limits, a plan called Ignite runs near $1,260 per developer per year for organizations under 50 developers, and Enterprise pricing is custom. Treat these as planning estimates and confirm with Snyk. The main risk is over-trusting the roughly 85% accurate autofixes on security-sensitive code without a second review, and free-tier scan limits that a busy team can exhaust quickly.
Company fitHow your company could affect the fit
How one company factor at a time moves the modeled score. The published score is unchanged.
Company fit
How your company could affect the fit
How one company factor at a time moves the modeled score. The published score is unchanged.
Technology Maturity High Modeled score73.2 / 100 Modeled category rank#5
Baseline Moderate
Adjusted ELO 1,489.2
Change from baseline -3.4 ELO
Technology Maturity Low Modeled score74.2 / 100 Modeled category rank#4
Baseline Moderate
Adjusted ELO 1,495.3
Change from baseline +2.8 ELO
Industry Healthcare and life sciences Modeled score73.4 / 100 Modeled category rank#4
Baseline Consumer products
Adjusted ELO 1,490.6
Change from baseline -2.0 ELO
Industry Financial and professional services Modeled score73.4 / 100 Modeled category rank#4
Baseline Consumer products
Adjusted ELO 1,490.6
Change from baseline -2.0 ELO
Industry Technology and telecommunications Modeled score73.4 / 100 Modeled category rank#4
Baseline Consumer products
Adjusted ELO 1,490.6
Change from baseline -1.9 ELO
Industry Energy and utilities Modeled score73.5 / 100 Modeled category rank#3
Baseline Consumer products
Adjusted ELO 1,490.7
Change from baseline -1.8 ELO
Revenue Band $500M-$2B Modeled score73.5 / 100 Modeled category rank#5
Baseline $25M-$100M
Adjusted ELO 1,491.2
Change from baseline -1.3 ELO
Industry Construction and real estate Modeled score73.6 / 100 Modeled category rank#4
Baseline Consumer products
Adjusted ELO 1,491.4
Change from baseline -1.1 ELO
Revenue Band Under $25M Modeled score73.6 / 100 Modeled category rank#5
Baseline $25M-$100M
Adjusted ELO 1,491.8
Change from baseline -0.8 ELO
Revenue Band $100M-$500M Modeled score73.9 / 100 Modeled category rank#7
Baseline $25M-$100M
Adjusted ELO 1,493.1
Change from baseline +0.5 ELO
Revenue Band Over $2B Modeled score73.7 / 100 Modeled category rank#5
Baseline $25M-$100M
Adjusted ELO 1,492.0
Change from baseline -0.5 ELO
Industry Automotive and transportation Modeled score73.8 / 100 Modeled category rank#4
Baseline Consumer products
Adjusted ELO 1,493.1
Change from baseline +0.5 ELO
Industry Industrial manufacturing Modeled score73.7 / 100 Modeled category rank#4
Baseline Consumer products
Adjusted ELO 1,492.3
Change from baseline -0.3 ELO
Industry Food and beverage Modeled score73.7 / 100 Modeled category rank#4
Baseline Consumer products
Adjusted ELO 1,492.4
Change from baseline -0.2 ELO
Industry Retail and distribution Modeled score73.7 / 100 Modeled category rank#4
Baseline Consumer products
Adjusted ELO 1,492.4
Change from baseline -0.2 ELO
Company Type Business services Modeled score73.7 / 100 Modeled category rank#4
Baseline Manufacturing
Adjusted ELO 1,492.4
Change from baseline -0.2 ELO
Cost guide
What it can cost
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 |
Cost breakdown by scenario
| 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.
Get started
What you need first
What you need firstSet up the basics
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
How to startSet clear limits
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Before you scaleSet safe working rules
Recommended next action
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.
Decision ownerBusiness and technology owner
STARTSet a goal and owner
Define what success looks like for a test of Snyk DeepCode AI and assign someone to lead it.
FIRST MONTHTest one workflow
Once the requirements above are met, compare a small trial with how your team works today.
MONTH TWOReview actual use
Track adoption, output quality, business results, and actual costs against the estimate.
MONTH THREEDecide what comes next
Use the results to decide whether to stop, adjust, or expand the pilot.
Risk profile
Required controls
Security and safe use
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.
Exit and rollback
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.
Recommended next step
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.
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How to learn more about this tool
Where to check the product, price, security, and support.
Official product information
snyk.io
Read official information →
Research observations recorded: 1. Evidence quality: Some support.
Score history
How the rating has changed
Recorded score and category rank across research updates.
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TriVista Score 73.5/100Category rank #5
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TriVista Score 73.5/100Category rank #5
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