For developers

A finding in your code.
A fix to verify.

A SQL injection is flagged on a line of code.
Read the IDE diagnostic, review the proposed fix and check the new scan result.
For supported cases, continue with a draft pull request. Your team decides whether to merge.

Request a demo

A 30-minute demo on a project close to yours.

With Tamis, step by step.

See this journey in a demo

Where code gets written

From the flagged line to the verified PR.

Three moves without leaving the editor: see the flaw, triage it, review the fix.

Demo screenshots. Results illustrate this project, not every project.

VS Code: hover on a SQL injection flagged by Tamis — A SQL injection is flagged on the line. Inspect the rule and the affected code to understand the proposed change.

Tamis interface · scanned WebGoat project

Under the hood

IDE: See diagnostics as you type in VS Code, JetBrains and their forks.
Dependencies: Hover over the manifest to see a CVSS score recalculated by reachability.
Before commit: Scan staged files offline before including them in your commit.
Verified PR: The fix is rescanned before the draft pull request is opened for your review.
Assistant: Get answers grounded in cited findings, with a local model by default.
Deployment: SaaS in the EU (OVHcloud or Scaleway) or self-hosted, air-gapped included

In Tamis

Move from finding to fix.

See findings in your IDE

You receive diagnostics as you type in VS Code and JetBrains.

The current analysis is cancelled on the next keystroke to avoid stale results.

From the affected line, you can access quick fixes, triage and waivers.

Equip your coding agents

Your coding agents use Tamis tools and rules over MCP to triage, fix and verify.

In the platform, a remediation agent prepares a fix.

It verifies the fix with a fresh scan, then opens a draft pull request.

Set boundaries for AI actions

Tamis hooks check supported actions in Claude Code or Codex.

They check writes outside the repository, sensitive files, secrets in prompts and rejected dependencies.

They also flag actions they cannot evaluate.

Depending on your project policy, a critical flaw introduced by the agent prevents it from finishing until the flaw is fixed.

Apply supported fixes without AI

For catalogued CWE families, Tamis applies the fix without an AI call.

In other cases, a local model offers a draft clearly marked for your review.

Bring checks into CI

The exit code can fail the pipeline associated with a GitHub PR or GitLab MR.

You have automatic comments, SARIF export, GitLab CI templates and GitHub checks.

Check secrets at push

On repositories with the hook installed, Tamis can block detected secrets before accepting the push.

Every approved bypass is kept in a dedicated audit trail.

On the same evidence

What moves between roles.

You receive

Findings already qualified by AppSec: detected, reachable or confirmed.
The evidence path from source to sink, with a recommendation for fixing the issue.
Abuse scenarios from the threat model to guide your work.

You pass on

Verified fixes that let AppSec close the related findings.
Fixes the pentester can retest.
A history of fixes the CISO can consult.

Good to know Automated fixes cover supported CWE families.
In other cases, you receive a draft to review.
Your team always decides whether to merge.