Secure what AI builds
AI Code Assurance Pipeline
Your developers write code with AI assistants and agents. We build the checkpoint that makes sure what they produce is secure, compliant and safe to merge.
Why it matters
AI now writes a large share of committed code, and that code passes security checks only about half the time. Reviewing it by hand does not scale, and generic scanners flood teams with noise. You need guardrails that run automatically and reflect your own rules.
Mapped to
- NIST SSDF
- OWASP SAMM
- SLSA
- EU Cyber Resilience Act
What we cover
- Static analysis, secrets and dependency checks on every pull request
- Package verification to stop hallucinated and look-alike dependencies
- Infrastructure-as-code and container checks before deployment
- Policy-as-code mapped to the standards and regulations you must meet
- AI-assisted pull request review, with a human signing off high-risk changes
- Safe configuration of AI coding assistants: rules files, permissions and MCP allowlists
- Evidence collection for audits and customer questionnaires
How an engagement runs
- 01
Assess
Map how your teams use AI coding tools and where code reaches production.
- 02
Design
Agree the checks, thresholds and policies that fit your risk and compliance needs.
- 03
Build
Wire the checks into your repositories and CI/CD, open-source first.
- 04
Tune and run
Cut false positives, train developers and keep the rules current.
What you receive
Clear outputs your engineers, leadership and auditors can each use.
- Working security gates in your CI/CD pipeline
- Policy-as-code repository mapped to your requirements
- Secure configuration guide for AI coding assistants
- Dashboard and audit evidence of what was checked and fixed
Open-source first
We start with proven open-source tools to keep costs down, and recommend commercial options only when they add real value. How we choose
- Semgrep CE
- Gitleaks
- Trivy
- Checkov
- OSV-Scanner
- Syft
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Learn moreReady to talk about AI Code Assurance Pipeline?
Tell us what you are building. We will come back with a short, honest view of where the risk is and what it would take to test it.