AI infrastructure that
stays up and stays quiet.
A long-term partnership for running your AI stack end to end. Uptime monitoring that catches drift before your customers do, incident response protocols so the fix path is documented and the blast radius contained, security posture reviews on every new integration or model swap, and continuous optimization as your tooling evolves. Backed by CompTIA Security+ certification and practical experience wiring AI pipelines against real threat models. One owner across data ingestion, model inference, deploy, and observability, so nothing falls through the seams between systems.
Three failure modes every AI stack hits.
Every team running production AI lives with these three. Different shapes, same root cause: the stack was built for the demo, not for the years it now has to run.
AI stacks fail silently
Workflows drift, models degrade, integrations break at odd hours. Without proactive monitoring, the first sign of trouble is a customer complaint or a compliance issue, and by then the blast radius has already grown.
Security is bolted on, not designed in
Most AI builds get security as an afterthought: API keys sit in plain files, no audit logging, no data classification, credentials never rotate. Retrofitting security into a live pipeline is expensive and disruptive.
Nobody owns the whole stack
Data engineer built the ingestion. ML engineer built the model. Ops team wired the deploy. When something breaks between the seams (which it will), everyone points sideways and the incident lingers.
One partner. Whole stack. Security in the design.
A long-term partnership for running your AI infrastructure end to end. Uptime monitoring on every pipeline with proactive alerts before customers notice. Security posture reviews on every new integration or model swap, backed by CompTIA Security+ certification and practical experience against real threat models. Credentials in a proper secrets store (Vault, AWS Secrets Manager, or your existing solution), encrypted storage and transit across every data path, audit logging on every access, least-privilege by default. Incident response playbooks so when something does break, the fix path is documented and the blast radius is contained. Model performance drift detection so degradation gets caught before it hits customers. Continuous optimization as your tooling evolves. And a single owner across data ingestion, model inference, deploy, and observability, so there are no seams for issues to fall through.
What you get. Phase by phase.
Every phase ships with concrete deliverables you sign off on before the next begins. No vague "ongoing collaboration" hours, no mystery scope.
- Full inventory of your AI infrastructure: data flows, models, integrations, dependencies
- Security posture assessment against a documented threat model
- Vulnerability disclosure: exposed credentials, unencrypted flows, missing audit trails, drift risk
- Written architecture doc plus prioritized remediation roadmap
- Credential rotation into a proper secrets store (Vault, AWS Secrets Manager, or your existing solution)
- Encrypted storage and transit across every data path, TLS enforced, keys managed
- Access controls tightened: RBAC per system, least-privilege by default, service accounts scoped
- Audit logging on every data access, retained per compliance need, alertable on anomalies
- Uptime monitoring on every AI pipeline with proactive alerts before customers notice
- Model performance drift detection with automated flagging when output quality slips
- Incident response playbook: severity tiers, escalation paths, blast radius containment
- Post-mortem template so every incident makes the next one less likely
- Weekly review of pipeline health, model performance, and cost per inference
- Monthly hardening pass: credential rotation, dependency updates, threat model refresh
- Quarterly architecture reassessment as tooling evolves and new options emerge
- Proactive recommendations on new AI tools or providers worth evaluating for your stack
- Async availability during business hours, on-call rotation for P1 incidents, response SLA aligned to your risk profile
- Single point of contact across data ingestion, model inference, deploy, and observability (no more sideways-pointing when something breaks)
- Written monthly report covering uptime, incidents, hardening progress, and optimization proposals
- Quarterly business review with your leadership covering roadmap, risk posture, and cost-to-value on the AI stack
First month. Then continuous.
The first four weeks lock in the audit, hardening, monitoring, and incident response. After that the engagement runs continuously. Click any milestone to see what ships by end of week.
Deliverables this milestone
- Full inventory of your current AI infrastructure: data flows, models, integrations, dependencies
- Security posture assessment against a documented threat model
- Vulnerability disclosure covering credentials, unencrypted flows, missing audit trails, drift risk
- Written architecture doc plus prioritized remediation roadmap signed off before hardening starts
Deliverables this milestone
- Credential rotation complete, all secrets in a proper store (Vault, AWS Secrets Manager, or existing)
- Encrypted storage and transit across every data path, TLS enforced, key rotation policy documented
- RBAC tightened, least-privilege enforced, service accounts scoped to minimum required access
- Audit logging on every data access, retained per compliance need, anomaly alerts configured
Deliverables this milestone
- Uptime monitoring active on every AI pipeline with proactive alerting
- Model performance drift detection running with automated flagging when quality slips
- Incident response playbook documented: severity tiers, escalation paths, blast radius containment
- Post-mortem template published so every incident makes the next one less likely
Deliverables this milestone
- Weekly review of pipeline health, model performance, and cost per inference
- Monthly hardening pass covering credential rotation, dependency updates, threat model refresh
- Quarterly architecture reassessment plus a written business review with your leadership
- Async availability during business hours, on-call rotation for P1 incidents with response SLA aligned to your risk profile
Let's walk your stack together.
A 30 minute call where I share my screen, walk through the audit approach, and we pressure-test one integration you're worried about live. Bring the one credential rotation you've been putting off and the one alert you wish you'd had last quarter. Happy to walk through commercials on the call.