We don't staff your team. We deploy into it.
Occult Cyber's engineers are senior specialists in security and AI. They work inside your environment, build and ship the systems your team and your customers rely on, and own the outcome from first commit to handoff.
Skillsets, not a stack of resumes.
Offensive and defensive: penetration testing, breach-and-attack simulation, detection engineering, cloud security posture, secure SDLC integration.
Applied LLM and agentic systems, retrieval-augmented architectures, model evaluation harnesses, MLOps for production inference.
Kubernetes, Terraform and IaC, CI/CD pipelines, multi-cloud and hybrid infrastructure, observability from the ground up.
Pipeline design, vector and graph data stores, data quality and governance tuned for security and AI workloads.
Every engineer is vetted before they embed: a technical screen, a paired session on a real problem, then a trial engagement. You meet the named specialist before day one.
Forward-deployed, not staffed.
Outsourcing and staff augmentation are the old shape of engineering services. Forward deployment replaces both. A named team ships production systems inside your environment and owns what it builds, for your team and the customers you serve.
Currently the forward-deployed engineering arm behind two Singapore-based cybersecurity ventures: one consulting-led, one product-led.
Occult is Latin for hidden. Most real risk in a company's stack is exactly that: the forgotten subdomain, the dependency nobody re-audited, the roadmap item that needs an engineer nobody has. Forward deployment is how we reach it, inside the environment instead of behind a form.
Four stages, in order. Brief to debrief.
Brief
Scope the mission: what needs to exist, what "done" looks like, and what environment it lands in.
Embed
The named engineer or pod joins your tools, standups, and access. No separate delivery silo.
Build
Production code, shipped inside your actual systems, not a demo that gets thrown away.
Debrief
Handoff and documentation. Where it makes sense, what we learned gets folded back into your roadmap.
Embedded Specialist
One senior engineer embeds inside a client team for a defined mission: an integration, a hardening pass, a migration.
Start a brief →Named Pod
A small pod of two to four engineers owns an entire outcome, like standing up detection engineering or shipping the RAG pipeline.
Start a brief →Standing Team
Ongoing embedded capacity for teams that need forward-deployed engineering as a permanent function, not a one-off mission.
Start a brief →Your environment is the forward base.
The work doesn't run from our office. It runs in your environment: your tools, your standups, your working day. Engineers embed remotely in your timezone, drawn from a deep pool of experienced security and AI engineers, and work like teammates, not vendors.
Forward deployment is a real, named way of working: an engineer in your environment who writes production code and owns the result, instead of handing you a spec and a stack of resumes.
Security and AI products are easy to demo and hard to run in production. Forward deployment closes that gap. The engineer who builds it works inside your systems and answers for what ships. It's all we do.
Deploy with us.
Real client problems from day one, remote-first, in the client's timezone. Engineers here carry the title Forward Deployment Engineer. The work is embedded, senior, and owned.
We hire continuously rather than in batches. If your discipline is listed here, send us your work.
Apply to deploy →
Tell us what needs building.
We reply within 1–2 business days.