AI Code Security Tools 2026: Semgrep vs Snyk vs Aikido vs GitHub — Pricing & ROI

82% of organizations are burdened by security debt, according to Veracode’s 2026 State of Software Security report; that is a warning about remediation capacity, not proof that another scanner will fix it. Teams comparing AI code security tools should buy fewer unanswered alerts and faster verified fixes, not the longest feature list. Here is the practical difference between Semgrep, Snyk, Aikido, and GitHub Code Security, including current public pricing and the costs that vendor pages leave out.

The 82% figure comes from Veracode’s 2026 report, which defines security debt around unresolved vulnerabilities; it is not a survey of code-scanner buyers and does not tell you which product reduces debt. Treat it as context, not a product benchmark. The buying question is narrower: where does your code live, which risks do you need to catch, and who will close findings before they age into another backlog?

How AI code security tools pay back (or fail)

A scanner creates value only when a finding is reproducible, reaches the right developer, and is resolved before it becomes an incident or expensive rework. A free scan that nobody reviews has a low invoice and a poor return. A paid product that reports thousands of low-context warnings has the same problem, plus a renewal meeting.

Start with one production repository and baseline four numbers: actionable findings per week, median time to confirm a finding, median time to merge a fix, and the share of high-risk findings reopened or dismissed as false positives. Then estimate your actual monthly cost:

Monthly security cost = subscription + setup and policy work + developer triage hours + remediation hours.

Do not assign a dollar value to a blocked breach unless your finance and security teams have agreed on the assumptions. The more defensible return is time: if a tool saves six engineer-hours a month and costs $180, it breaks even only when the loaded hourly cost is above $30 and the saving is real. The phrase AI code security tools is not itself an ROI category; count verified fixes and owner time instead. A vendor demo cannot establish either fact. Your own repository can.

This is why package boundaries matter. Static application security testing (SAST) examines code patterns and flows; software composition analysis (SCA) flags vulnerable or risky dependencies; secret scanning looks for credentials; infrastructure-as-code checks catch configuration mistakes. These findings require different owners. Paying for four scanners that overlap on one slice while nobody owns dependency upgrades is not coverage.

Semgrep vs Snyk pricing: rules-first or platform billing?

Semgrep is a natural first test for teams that value readable rules, code-level analysis, and a tool developers can run in CI or during review. Its official pricing page lists a Free Edition for up to 10 contributors and 10 repositories. The Teams tier starts at $30 per contributor per month for Code (SAST) or Supply Chain (SCA), and Secrets is listed at $15 per contributor per month. The page also describes AI-assisted detection, triage, and remediation; the Free Edition includes 60 AI credits, while Teams includes 20 per developer each month. Enterprise pricing is custom, with no contributor or repository cap stated on the page.

That is a legible quote, but be careful about adding modules. Ten developers on Semgrep Code and Supply Chain at the published entry rate imply $600 per month before Secrets, taxes, or any negotiated terms. A small organization can test the free cap before buying. A larger team should confirm how contributors are counted, what repositories are in scope, and whether its CI arrangement needs an Enterprise feature such as on-prem source control or custom integration.

Snyk’s pricing page now describes a credit-based platform rather than a simple public monthly seat price. It says one credit equals $1, and Snyk Code consumes one credit per active contributor per day. Open Source also lists one credit per active contributor per day; IaC and Secrets have different daily rates. This means “Snyk Code pricing” depends on active use and the credit pool in the contract. A continuously active contributor would consume about 30 credits over a 30-day month for Code alone, but that is a planning illustration, not a quoted monthly subscription. Ask Snyk for a written scenario using your actual active contributor count, scan scope, and contract term.

The practical Semgrep vs Snyk distinction is less about which page shows a lower number and more about how you want to operate. Semgrep publishes a contributor-based Teams price and a free cap. Snyk gives an expandable platform credit model that can cover code, open source, infrastructure as code, secrets, containers, and other capabilities at different rates. If you only need a code scanner, compare the narrowest equivalent scope. If you are consolidating tools, ask Snyk to model all services together and ask Semgrep to price the exact Code, Supply Chain, and Secrets combination. Comparing Semgrep Code at $30 with an all-capability platform quote is not a fair test.

Aikido Security pricing for small teams: breadth has a real cost

Aikido is positioned as a broader application-security suite: code and dependency scanning sit alongside areas such as secrets, infrastructure, cloud, and runtime security. That breadth is useful when a small team has several disconnected checks but no dedicated AppSec operator. It is less compelling if your team already has mature ownership for each layer and only needs a better SAST engine.

Aikido’s public pricing detail is less transparent in the material reviewed for this comparison. Its official site advertises a free Developer option, and an Aikido-published 2026 overview describes paid plans starting at $300 per month for 10 users. Treat that as a starting point to validate, not a binding quote: ask what scanners and asset counts are included, whether the ten-user assumption applies to your deployment, and which cloud or runtime capabilities require a higher tier. A product that looks inexpensive per developer can still be expensive if the contract prices repositories, assets, or extra modules separately.

The ROI test for Aikido is consolidation. List each tool it might replace and the annual cost of those tools, but do not count a replacement until the equivalent control has passed a pilot. Also include the migration work: connecting repositories, tuning policies, routing issues to owners, and deciding which system is authoritative for vulnerabilities. If the package removes two subscriptions but creates a second alert inbox, the spreadsheet savings are fictional.

GitHub Code Security pricing per committer: the native-workflow premium

GitHub Code Security is the least surprising option when repositories, pull requests, and developer permissions already live on GitHub. GitHub currently lists Code Security at $30 per active committer per month and Secret Protection at $19 per active committer per month. These are separate products, so buying both for a 20-committer group implies $980 per month at the published rates. Check the billing definition: GitHub’s pricing calculator counts unique committers who contributed to enabled private repositories during the prior 90 days, not simply every employee with an account.

The reason to pay is workflow proximity. Code scanning and findings are presented in GitHub’s repository and pull-request environment; GitHub documents code scanning for public repositories and eligible organization-owned repositories with Code Security enabled. Security teams get less integration work if they already use GitHub permissions and branch protections. Teams running repositories across GitLab, Bitbucket, and self-hosted systems should count the operational friction before treating this as a universal platform choice.

There is also a basic procurement trap: “GitHub Security” is not one indivisible price. Code Security and Secret Protection have separate monthly rates. Decide whether your requirement is code findings, exposed credential prevention, or both. For public repositories, check which built-in options are available before budgeting a paid private-repository add-on. For enterprise controls, validate the exact plan and hosting arrangement with GitHub rather than applying a headline rate to every repository.

Compare features and ROI before you request a quote

The table is a shortlist, not a lab ranking. Product scope and billing units differ, so run the same repository, commit, and policy scenario through each candidate. “Likely ROI” means where the economics may work; it is not a measured accuracy score.

For a rough payback model, compare yearly cash cost with verified annual labor saved. Suppose a 10-developer group considers Semgrep Code at the listed entry rate: the starting subscription arithmetic is $3,600 a year. If the pilot saves 120 hours of triage and policy work, the break-even loaded labor value is $30 per saved hour ($3,600 divided by 120), before setup and remediation. If the actual time saving is only 30 hours, the same plan requires $120 per saved hour. The purpose of this math is not to make the tool look cheap; it is to expose the assumption that drives the decision.

Use the same arithmetic for the others. For GitHub, count active committers under the product’s billing definition, then add Secret Protection only if you need it. For Snyk, calculate credits from the rate card and observed active days, and add the other services separately. For Aikido, request the exact written scope behind the advertised entry price. A credible vendor should be able to price a 30-day pilot or a representative repository group without turning a simple question into a six-month transformation program.

Snyk code scanning alternative: when another tool is sensible

A Snyk code scanning alternative makes sense when the quote is difficult to forecast, the platform’s extra coverage would sit unused, or a test shows findings are hard to route into the team’s workflow. Semgrep may be a fit for a rules-first engineering group. GitHub Code Security may be easier to adopt when all important repositories are already on GitHub. Aikido may fit a small team trying to reduce separate vendors across code, dependencies, and cloud.

Do not switch because a competitor claims fewer false positives. Ask each vendor to scan the same repositories and classify a fixed sample of findings with your engineers: confirmed, needs investigation, not relevant, or duplicate. Record the time for each decision and whether a suggested fix passes tests. One clean demonstration repository is not enough; include one older service and one active application with real dependencies.

A sensible pilot has a stop condition. Before enabling blocking rules, agree on the languages, severity threshold, owners, and exception process. Let the scanner report without blocking for a short baseline period. Then block only new, high-confidence issues in changed code. Existing backlog is a separate project; failing every pull request because of years-old findings will teach developers to bypass the tool.

The “AI” label deserves similar skepticism. AI can summarize a finding or propose a patch, but a patch is still code written by a system that may not understand business invariants. Require tests, human review, and a record of accepted fixes. Measure accepted-fix rate and regression rate, not how many suggestions appeared in a dashboard. If a team has no review capacity, automatic suggestions can increase the queue rather than shrink it.

A practical buying sequence for a small AppSec team

• Inventory the source control and ownership model. List repositories, primary languages, third-party dependencies, build systems, and the teams that can merge fixes. Include internal services that are still deployed, not just the repositories that look active.
• Pick the first control, not the “platform.” If the immediate incident class is leaked credentials, test secret scanning. If vulnerable dependencies dominate, test SCA and reachable-risk workflows. If insecure code patterns are the issue, compare SAST. A broader suite can come after the first control works.
• Run one shared test. Use the same repositories, branch, policy thresholds, and reviewer sample for every candidate. Keep a small set of known findings to see whether the tools detect and explain them. Do not rely only on vendor demo data.
• Price by the real meter. Record contributors, active committers, repositories, assets, scans, and credits. Ask for a written estimate at today’s scope and at a 2× growth scenario. “Starting at” is not a budget.
• Count the human hours. Time installation, tuning, false-positive review, fix verification, and recurring administration. Assign an owner. If nobody has time on the calendar to handle alerts, postpone the purchase or fund that work explicitly.
• Expand only after adoption. A new module should remove a measured gap or replace a named contract. Do not buy the larger suite because an account executive can show more boxes checked.

For more on the handoff after a finding, see our AI code review tools comparison. If the question is incident response after a vulnerability escapes, compare the AI SOC platforms guide; detection and remediation are different budgets.

The right choice for a five-person product team may be the free Semgrep tier or GitHub’s existing public-repository protections. A growing GitHub-first company may prefer GitHub Code Security because adoption costs less than another integration. Snyk deserves a quote when one credit pool can replace separate code, dependency, and infrastructure checks. Aikido deserves a pilot when the bundle can retire tools the team actually pays for. None wins on brand alone.

Frequently Asked Questions

How much does GitHub Code Security cost per active committer?

GitHub lists Code Security at $30 per active committer per month and Secret Protection at $19 per active committer per month. The products are priced separately. GitHub’s calculator uses unique contributors to enabled private repositories during the preceding 90 days, so count actual committers rather than all employees before forecasting.

Is Semgrep cheaper than Snyk for code scanning?

Semgrep has a clear published Teams starting price of $30 per contributor per month for Code and a free tier capped at 10 contributors and 10 repositories. Snyk’s current pricing page uses credits; Code consumes one $1 credit per active contributor per day. Whether Semgrep is cheaper depends on active days, team size, included modules, and the Snyk contract credit pool. Compare a written quote with the same scope.

What is the best SAST tool for a small team?

There is no universal winner. Start with the tool that supports your languages and source-control setup, then test the quality of findings and the time needed to close them. Semgrep is a reasonable first test for rules-oriented teams; GitHub Code Security fits GitHub-native workflows; Aikido may be worth testing when bundled coverage replaces several existing tools.

Is Aikido Security free, and what does the paid plan include?

Aikido advertises a free Developer option. An Aikido-published 2026 overview says paid plans start at $300 per month for 10 users, but the exact included scans and asset limits should be confirmed directly. Ask for the current written package, not just the entry headline.

Can an AI scanner fix vulnerabilities without a developer review?

It can propose or automate a patch, but a human should review security-sensitive changes and run the project’s tests. Measure how many fixes are accepted without rework and whether regressions appear. Automated patching is an assistant to code ownership, not a substitute for it.

The verdict: pay for closed findings, not scanner count

Run a limited pilot, measure verified hours saved, and buy only after the billable unit is clear. If you need AI code security tools, Semgrep is the easiest price to test, GitHub is the most native for GitHub-first teams, Snyk suits a deliberately scoped multi-capability contract, and Aikido is worth a trial when consolidation can be shown on an invoice. Let your own repository and a written quote decide.