ISO 27001 Certified: How we secure distributed engineering teams

When companies evaluate nearshore engineering partners, security is rarely the first question they ask. Conversations usually start with speed, talent quality, cost efficiency, time zones, scalability. But once the discussion moves closer to integration (access to infrastructure, repositories, production environments, sensitive data) security quickly becomes one of the most important factors in the room.

‍

And at that point, it’s no longer a “nice to have.” It’s decisive.

‍

The organizations that scale sustainably, especially in healthcare, fintech, and other regulated industries, understand that security isn’t a checkbox. It’s infrastructure. That’s where ISO 27001 comes in. At Devlane, we’ve been ISO-certified for over 6 years and recently upgraded to the latest available revision: ISO 27001:2022. The most current version of the standard. To reinforce this framework, our security program is led by our internal Chief Information Security Officer (CISO), Esteban Gretter, who oversees our Information Security Management System, continuously evaluates risk, and ensures our controls evolve alongside changing infrastructure and threat landscapes.

‍

But what does being ISO-certified actually mean in practice? Let’s break it down.

What is ISO 27001 and why it matters to our clients

ISO 27001 is the international standard for Information Security Management Systems (ISMS).

In simple terms, it means:

• There is a formal, audited system to manage information security risks
• Controls are documented, implemented, and continuously improved
• Access, data handling, devices, vendors, and processes follow strict governance
• Security is proactive, not reactive

For our clients, this translates into:

Endpoint security across distributed engineering teams

In distributed engineering models, security starts at the device level. Every notebook used by our engineering teams is part of a controlled security framework aligned with ISO 27001 standards. Devices are delivered with secure baseline configurations designed to protect data, control access, and reduce endpoint risk from day one. But strong governance doesn’t mean rigid infrastructure. Our hardware security model is designed to integrate into different organizational ecosystems and security architectures.

‍

For example: some environments require strict VPN-based access control, while others operate under their own MDM platforms, antivirus stacks, and internal endpoint management policies.

‍

Our devices are prepared to align with:

• Organization-managed MDM systems
• Custom antivirus and endpoint protection tools
• VPN and zero-trust architectures
• Restricted-access repositories and segmented environments
• Industry-specific regulatory controls

‍

Rather than forcing a predefined setup, we adapt to the required security of our clients' while maintaining our internal governance standards. The result is secure-by-design hardware that integrates seamlessly into distributed engineering environments. Protecting data, preserving compliance, and enabling teams to operate with confidence.

Hardware security backed by Enterprise-Grade risk coverage

Endpoint protection and device governance are critical, but true security also means being prepared for worst-case scenarios. Beyond technical controls, we maintain structured risk coverage to reinforce our security framework.

Because safeguarding distributed engineering teams isn’t only about preventing risk, it’s also about being fully prepared to respond if something unexpected occurs.

Governing AI within a structured security framework

Over the past few years, the use of AI tools has expanded significantly across industries, including highly regulated sectors like healthcare and fintech. This evolution introduces new layers of vendor risk, data exposure considerations, and operational dependencies. That’s why at Devlane, we proactively account for AI within our cybersecurity framework. Our approach is clear: AI tools are governed under the same rigorous security standards as any other third-party technology. That means:

• Every AI provider undergoes supplier risk evaluation.
• A Data Processing Agreement (DPA) is required to ensure appropriate data protection controls are in place.
• Internal policies define strict boundaries and acceptable use of AI systems.

Where uncertainty exists around compliance or data handling, we limit or avoid the use of those AI systems altogether. We do not integrate AI casually. We integrate it responsibly. By applying our cybersecurity standards at all times, including when using AI, we ensure that innovation strengthens, rather than compromises, our security. This disciplined approach enables us to work confidently with enterprise clients across regulated industries where security is non-negotiable.

Security built into every engineering team we deliver

At Devlane, security isn’t something we showcase, it’s how we work. It shapes how we build teams internally and how we collaborate with our clients. We combine internationally recognized standards and certifications with hands-on internal practices: structured controls, continuous oversight, and ongoing security training for our engineers and support teams.

‍

This foundation allows our clients to integrate distributed engineers with confidence, knowing security and compliance are built into the way we operate. Because scaling engineering capacity shouldn’t introduce uncertainty. It should increase capability, without increasing risk.‍

‍

If you’re planning to scale your tech team and security is a priority, we’d be glad to connect and explore how we can support your growth with enterprise-grade standards built in from day one.