AI Security & Platform Engineering
Most companies ship AI fast and pray nothing breaks. We build the guardrails, the monitoring, the infrastructure that lets you move fast without the 3am incident pages. Security isn't a feature we bolt on — it's the foundation everything runs on.
Before your agents touch prod, we map the exfiltration paths. MCP server audits, tool-use permission reviews, sandbox escapes, coding-agent hardening.
Indirect prompt injection. RAG poisoning. Tool-use chains that chain. Reproducible exploitation chains delivered as threat models — not CVSS spreadsheets.
vLLM, fractional GPUs, and a cost dashboard you can defend. Production inference on K8s with 13% → 60%+ utilization. Observability that actually answers why.
EU AI Act GPAI. ISO 42001. HIPAA technical safeguards. Engineering work, not legal advisory — and under 15k EUR, not 200k.
Production-grade Kubernetes platform with GitOps, policy enforcement, and automated security scanning. Scored 7/10 on CIS benchmarks out of the box.
Open-source security scanner for MCP servers. 6 AST-level checks catch tool poisoning, path traversal, shell injection, SSRF, and hardcoded secrets. Catches all 5 vulns in our reference target.
Dynamic OAuth 2.1 & DCR auditor for deployed MCP servers. 6 HTTP-level checks flag arbitrary redirect_uri, javascript: schemes, implicit flow, and PKCE downgrades. Complement to mcp-scan — source vs. HTTP surface.
The toolchain our four services are built on. Open source where it matters, standards where they exist, and the AI-native tooling a CTO expects to see on an AI security studio's homepage.
We're selective about the work we take on. If you're shipping AI to production and security matters, let's talk.
Or email directly: contact@veloxlabs.dev
