Secure.com is an AI-native cybersecurity company headquartered in Dubai, building Digital Security Teammates — AI-driven agents that help organizations with threat detection, incident investigation and automated remediation across complex cloud and SaaS environments. As the platform expanded across global customers and security ecosystems it needed highly specialized technical talent faster than traditional hiring could supply it. The challenge was not hiring as such, but the timely availability of technically vetted professionals who could align with specific project needs without disrupting workflows already in flight.
Deliverydevs designed and implemented a flexible resource augmentation framework that let Secure.com onboard skilled technical professionals quickly while keeping operational control, structured across two delivery models — one augmenting the engineering workforce with the entire operational layer handled for them, and one placing specialized roles permanently inside the internal team. Together they cover both the immediate project need and the long-term shape of the team, which is why neither had to be compromised to serve the other.
The problem was never hiring. It was timing.
Two delivery models carried the engagement, each against a different kind of need.
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The engagement gave Secure.com consistent access to technically vetted professionals matched to project-specific requirements: specialized engineering resources available when they were needed, far less dependency on lengthy internal hiring cycles, continuity across ongoing technical initiatives, and the flexibility to meet project demands as they changed. By carrying the sourcing, vetting and operational side of workforce deployment, Deliverydevs left Secure.com’s internal teams free to focus on execution while keeping the technical expertise they needed on hand.
Secure.com operates in a high-velocity ecosystem where organizations handle thousands of alerts a day and have to secure hybrid environments without dramatically increasing headcount. The same logic applied to building the platform itself: the way to hold engineering velocity was to make specialist capacity available on demand, rather than to grow a permanent team around every project.
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