Morley Media

markdown: /ai/services/security-devops.md

title
Security, DevOps, LLMOps & Infrastructure
description
Security audits, fixes for fragile and vibe-coded apps, SOC 2 and ISO 27001 work, builds to HIPAA requirements, data residency, LLMOps, and infrastructure.

Security, DevOps, LLMOps & Infrastructure

We take over existing apps, including ones built fast or vibe-coded, and add the cloud setup, observability, DevOps, security, and LLMOps that get them into production and scaling reliably.

The problem

Your software handles customer data, processes payments, and runs business operations. A security failure can mean lost revenue, regulatory exposure, and damaged trust that takes years to rebuild.

We treat security, compliance, and operational reliability as primary disciplines. Whether you need to meet SOC 2 or ISO 27001 certification, build to HIPAA requirements, keep data in the right jurisdiction, prevent chatbot abuse, or stop your deployment pipeline from breaking every Friday, we can take it on.

What we do

Security audits and remediation

We audit codebases, infrastructure, and operational practices against OWASP Top 10, CIS benchmarks, and the threat model that actually applies to your product. Findings come with severity, exploitability, and a remediation plan rather than a 200-page PDF.

Taking over existing apps

If your app was built fast or vibe-coded and now has users, a previous team left, or the original developers cannot be reached, we triage. We figure out what works, what is dangerous, and what to rewrite, and we deliver a plan that prioritizes business continuity over rewrite ambition.

CI/CD and containerization

We build deployment pipelines in GitHub Actions, GitLab CI, or whatever you already use, with automated tests, security scans, accessibility audits, and promotion between environments. Applications are packaged with Docker and orchestrated on Kubernetes or simpler container hosts depending on your operational maturity. Reliability comes from automating the steps humans get wrong, and we have a strong bias against complexity that does not earn its keep, so we will tell you when K8s is the wrong answer.

Cloud and bare-metal infrastructure

The infrastructure choices are based on what the workload actually needs. AWS, Google Cloud, and Azure cover immediate horizontal scale, specific managed services, and regional compliance or data residency requirements, and we have shipped production systems on all three. Providers like Hetzner often give better price-to-performance when scale and managed services are not the priority. When a fully self-hosted deployment is the right answer, our team can travel on-site to install and configure the hardware.

Observability and incident response

When production breaks, the question is how fast someone notices. We build monitoring, alerting, and distributed tracing with whatever stack fits your environment, including Sentry, Prometheus, Grafana, OpenTelemetry, and the commercial equivalents, so an on-call engineer can follow a failing request across services and fix the actual cause. The runbooks we leave behind turn a 3am page into a routine response rather than a panic.

LLMOps and AI abuse prevention

AI features in production need their own operational discipline. We instrument token consumption, per-query cost, latency, and answer quality degradation, with alerts that fire before the bill or the UX surprises you. We also build the guardrails that prevent chatbot abuse: prompt injection defenses, topic guards, rate limiting, and usage monitoring that catches misuse before it becomes a liability. If you already have an AI feature running unsupervised in production, we come in and wrap the observability and controls it should have had from the start.

Compliance, data residency, and data sovereignty

We have built and operated systems under SOC 2 and ISO/IEC 27001 requirements, and we build to HIPAA requirements for products that handle health data. We know what auditors actually look for, and we build the controls, documentation, and evidence collection into the system from the start rather than bolting them on before an audit. For organizations with data residency or sovereignty constraints, we architect infrastructure that keeps data in the required jurisdictions, whether that means region-locked cloud deployments, self-hosted infrastructure, or hybrid approaches that satisfy both operational and regulatory needs.

Personal and confidential data

We build software that handles personally identifiable information for clients such as law firms. On Crystal aOS, we used Microsoft Presidio to strip personal information from chats when it appeared. For products that handle health data, we build to HIPAA requirements.

How we work

01 Triage and assessment

We review the codebase, infrastructure, and operational practices to identify the highest-risk issues and the highest-leverage fixes. Output is a prioritized plan with effort estimates, not a wishlist.

02 Stabilize first

If production is on fire, we stop the bleeding before we start improving. The work that prevents the next outage takes precedence over the work that improves the next sprint.

03 Modernize and harden

Once stable, we work through the remediation plan: pipeline modernization, security fixes, observability gaps, infrastructure improvements. Each change ships independently rather than in a giant rewrite.

04 Handover and ongoing support

We document the work, train your team, and offer ongoing retainers if you want continued support. We are equally happy to hand off completely once the system is in good shape.

Track record

Our infrastructure has supported platforms managing over $20 million USD in deposited funds across DeFi protocols with zero successful exploits. Self-hosted blockchain nodes have run for multiple years across Canada and Europe. CI/CD pipelines we built power teams that ship daily without breaking production.

We have rescued stalled projects where the previous team left and the codebase needed someone willing to read it carefully and figure out what was real.

Technical depth

Containerization with Docker. Orchestration on Kubernetes, Docker Compose, or Nomad depending on operational complexity. Infrastructure-as-code in Terraform. CI/CD on GitHub Actions or GitLab CI. Monitoring stacks built on Prometheus, Grafana, OpenTelemetry, and Sentry.

Security tooling includes OWASP ZAP, SonarQube, and dependency-scanning integrated into CI rather than run as one-time exercises. Database operations cover PostgreSQL tuning, migration discipline, and schema evolution under load.

FAQ

Can you take over a project from a previous team?

Yes. We have done rescue engagements where a previous team left and the codebase needed someone willing to read it carefully and figure out what was real. We approach these with no judgment about the prior work and a focus on what needs to happen next.

Do you do penetration testing?

We do code-level security audits and infrastructure reviews. For formal penetration testing with attestation we work with established pentest firms and remediate the findings.

How is an engagement scoped and billed?

Audit and triage engagements are fixed-scope, with the timeline agreed before we start. Remediation and modernization work is billed time-and-materials with weekly check-ins so you can adjust priorities as we go.

Can you operate the infrastructure for us?

Yes. We offer ongoing infrastructure operation including monitoring, on-call response, and routine maintenance. This is how several of our DeFi protocol clients have operated for years.

What if the existing code is really bad?

We have seen worse. Almost no codebase is beyond rescue if there is a clear business reason to keep it. We will tell you honestly if rewrite is the better path.

Who owns the infrastructure-as-code?

You do. Terraform, Ansible, Kubernetes manifests, Dockerfiles, and runbooks are delivered as we build so your team can operate the system without us.

From the blog