Ship faster because it is safe to ship.
Security that only appears as a blocking review at the end makes teams slower and systems no safer. We move it into the pipeline: every commit scanned, every secret managed, every deploy reversible in minutes.
“Securing your infrastructure, protecting sensitive data, and guaranteeing zero downtime.”
Where teams get caught out
If two or more of these sound familiar, the underlying issue is usually architectural rather than a shortage of effort. That is the part we are good at.
- Production credentials live in a shared document that former contractors have read.
- Deploys take forty-five minutes and nobody wants to run one on a Friday.
- Authorisation is checked in the interface, so the API serves another tenant's data.
- An enterprise prospect sends a security questionnaire and the deal stalls for six weeks.
- The new LLM feature is an open path to your database through prompt injection.
Five things we deliver inside this practice.
Each one is a complete piece of engineering, not a line item on a proposal.
Application Security & Hardening
Vulnerability assessment and remediation across injection, cross-site scripting, access control, and dependency risk.
- OWASP Top 10 assessment with proof of concept
- Parameterised queries and output encoding
- Content Security Policy and security headers
- Dependency and container scanning in CI
Authentication & Access Control
OAuth2, OIDC, role-based access control, and multi-factor authentication implemented at the API, not the interface.
- Server-side authorisation on every endpoint
- Role and attribute-based permission models
- MFA, session rotation, and device management
- SSO and SCIM for enterprise buyers
Cloud Infrastructure & CI/CD
Containerised, reproducible environments with automated deployment to Vercel, Render, AWS, or your own cluster.
- Infrastructure as code, no console clicking
- Blue-green and canary release strategies
- One-command rollback that has been rehearsed
- Cost and performance budgets enforced in CI
AI & API Security Guardrails
Protection for LLM features: prompt-injection defence, output filtering, data-leak prevention, and rate limiting.
- Instruction and data separation in prompts
- PII redaction before and after inference
- Tool-call allowlists with argument validation
- Per-tenant quotas and abuse detection
Database & Environment Security
Encryption, secret management, least-privilege access, and a backup strategy that has been restored from at least once.
- Encryption at rest and in transit
- Managed secrets with automatic rotation
- Least-privilege database roles
- Point-in-time recovery, tested quarterly
Results from this practice
How this engagement runs.
Named phases with named outputs. You always know what is being produced and when you will see it.
- P1Week 1
Threat model and assessment
We map trust boundaries, enumerate what an attacker would actually target, and test it. Findings arrive ranked by exploitability, not by scanner severity.
Threat modelRanked findingsProof-of-concept exploits - P2Week 1-2
Close the critical path
Anything exploitable today gets fixed first — authorisation gaps, exposed secrets, injection paths — with a regression test attached to each fix.
Patched vulnerabilitiesRotated credentialsRegression tests - P3Week 2-4
Move security into the pipeline
Static analysis, dependency scanning, secret detection, and container scanning become blocking checks, so the next regression never reaches production.
Hardened CI pipelinePolicy as codeSBOM generation - P4Week 4-5
Resilience and recovery
Backups restored in a real drill, rollback rehearsed against production-shaped data, alerting tuned so that a page always means something.
Restore drill reportRollback runbookAlert policy - P5Ongoing
Audit readiness
Evidence collection, access reviews, and written policies that turn a six-week enterprise security questionnaire into a two-day exercise.
Evidence packAccess review processQuestionnaire library
The stack we reach for
Chosen for operational boredom, not novelty. If something newer is genuinely better for your case we will say so, and explain the maintenance cost.
What you receive
Every engagement ends with these in your accounts, whether or not we keep working together afterwards.
- Threat model and ranked findings report
- Remediation with a regression test per fix
- Security gates enforced in CI/CD
- Secret management with a rotation policy
- Tested backup and restore procedure
- Incident response and on-call runbook
This capability, applied.
The engineering decisions and the numbers that followed them.
Questions we get asked
It includes one, but a report alone rarely changes outcomes. We fix what we find, add regression tests so it stays fixed, and put the checks into your pipeline so the next release cannot reintroduce it.
The opposite is the goal. Automated gates plus a rehearsed rollback path are what make frequent deploys safe. Teams we work with typically end up shipping more often, not less.
We handle the technical control side — access management, encryption, logging, change management, and evidence collection — working alongside your compliance platform or auditor rather than replacing them.
Let us talk about devsecops & cloud security.
Two ways to start, both of them short. Bring the problem, not a specification — the first useful thing we do is tell you what we would build and roughly what it costs.
Book an architecture call
Fifteen minutes, no deck. We map your problem to an approach and tell you what a realistic scope and budget look like.
- A specific technical recommendation
- A budget band you can plan against
- An honest answer if we are the wrong fit
Send a written brief
Prefer to write it down? Email us the shape of the problem and we will reply with a first take, usually under 12 hours.
- Goes straight to an engineer, not a sales inbox
- We reply with an approach, not a brochure
- Attach anything: repos, docs, screenshots