Give TITAN PIPEFIX the address of your code, on GitHub, Azure DevOps, GitLab, Bitbucket, AWS or Google Cloud, and it does the rest. It connects on its own, reads every pipeline and every file, finds the passwords, keys, patient data and compliance gaps that should never be there, fixes the safe ones, checks its own work, and hands you a report your engineers, your auditor and your board can all read. One agent, licensed on its own. See a real run: 45 issues found, 36 fixed and verified →
Most security tools watch your cloud. Almost none of them watch the pipeline that builds and deploys into it. A password typed into a build variable, a cloud key saved in a config file, a real patient record left in test data, a build step that trusts whatever the internet sends it: every one of these is visible to everybody who can see the repository, and to every copy that was ever made of it. PIPEFIX reads what your build system actually runs and puts it right.
REST API: repository listing for an organisation or user, workflow discovery, private clone, branch push, pull request, workflow dispatch and result polling.
REST 7.1: projects, repositories, pipeline definitions, pull requests, pipeline runs. Plaintext variables become $(NAME) Key Vault references.
API v4 for gitlab.com or self-hosted: subgroups, pipelines, merge requests. Plaintext variables become masked CI/CD variables.
Clones through the AWS credential helper, reads CodePipeline definitions through the CLI, points buildspec secrets at Secrets Manager.
Clones through the gcloud credential helper, reads Cloud Build triggers, points cloudbuild secrets at Secret Manager.
Bitbucket Cloud API, Jenkinsfile and CircleCI definitions, any https or ssh git URL, or a folder on the machine. Same detectors, same fixes, same reports.
AWS keys, Azure storage keys and SAS tokens, Entra client secrets, Azure DevOps PATs, GitHub and GitLab tokens, Google API keys, GCP service-account JSON, private key blocks, Slack, Stripe, Twilio, SendGrid, JWT, Basic and Bearer literals, OpenAI and Anthropic keys, registry tokens, passwords in connection strings and URLs, high-entropy values on credential variables, committed .env / key / credential / tfstate files, passwords embedded in git remotes.
Social Security Numbers, medical record numbers, dates of birth, member and insurance IDs, personal email and phone, Luhn-valid card numbers, diagnosis codes tied to an identifier, PHI written to log statements.
Missing permissions blocks, actions pinned to main or master, pull_request_target, curl piped to bash, secrets echoed to logs, self-hosted runners, persisted credentials, plaintext variables, inline cloud-login passwords, production stages without approval, unpinned images, security stages allowed to fail, privileged builds. Terraform, Bicep, ARM, docker-compose and Dockerfiles: public blob access, HTTPS-only off, TLS below 1.2, encryption off, logging off, soft-delete off, public network access, world-open management ports, root containers, secrets baked into ENV.
Every finding is sorted into one of two lanes before anything happens.
A password in the code becomes a reference to your secret store. A key file is taken out of the repository and blocked from coming back. Encryption and TLS settings are raised to the required level. Build steps get the least-privilege permissions they should have had. Test data with real identifiers is replaced with synthetic values. Each change is recorded before and after, made on its own branch, and re-checked.
Anything that could interrupt a live service is never touched: closing public network access, removing a build step that downloads and runs remote scripts, changing how a container runs, a login step that carries a password. For each one you get the exact change, the rule it satisfies, a suggested patch, a way to confirm it worked, and what could go wrong.
In the September 2026 acceptance test on a repository built with every one of these problems, PIPEFIX found 45 issues across five pipeline platforms, fixed 36 of them on its own, left 9 for a human with instructions, and confirmed on re-scan that every pipeline still ran and nothing auto-fixable remained.
KPIs, root causes, every finding with priority, code excerpt (secrets redacted), analysis and suggested patch, every edit with before and after, the human list, pipelines discovered, verification result.
The same content as a Word document and a PDF, with the code excerpts and citations (HIPAA 164.312, PCI-DSS 8.3.2, NIST 800-53 IA-5, SLSA) on every finding.
Machine-readable findings for Jira, Datadog, Splunk or the TITAN Command Center; in pr mode the fix branch is pushed and a pull request is opened with the change list, the rotate reminder and the human items.
They flag the key and leave the rewrite, the vault reference, the .gitignore, the rotation list and the re-scan to you.
GitHub secret scanning does not read your Azure Pipelines; Azure DevOps does not read your GitLab CI. Multi-platform estates get three partial views.
Air-gapped and IL4–IL5 networks cannot call a SaaS scanner. PIPEFIX scans, fixes and verifies with no internet at all.
Read-only scan first. No credit card. Then a fix branch and a pull request you approve.