Almost every recruiting tool will tell you it's GDPR compliant. But that doesn't always tell you how candidate data is actually protected or what happens to it behind the scenes. This is where privacy by design matters. GDPR compliant describes how an application meets its privacy responsibilities. Privacy by design means privacy is considered when the technology itself is built.
EdgeTal takes privacy by design one step further by keeping AI processing and candidate data on your device.
What Does "GDPR Compliant" Actually Mean?
GDPR compliant means an organization has taken steps to meet the requirements of the General Data Protection Regulation.
For recruitment software, this includes how candidate data is collected, stored, processed and shared. It can also involve third-party processors and security measures.
Being GDPR compliant is important, but the label doesn't necessarily tell you how the software is built. That's where privacy by design becomes important.
What Is Privacy by Design?
Privacy by design means considering privacy from the beginning of development rather than adding protections later. The goal is simple: build technology that naturally limits unnecessary access to personal data.
This connects to data protection by design, a principle included in GDPR Article 25. For example, if candidate information doesn't need to leave the recruiter's device, keeping it there can reduce unnecessary data exposure.
That's privacy by design in practice.
Why Privacy by Design Matters in Recruitment
Recruiters handle sensitive information including CVs, employment history, education and contact details.
With cloud-based systems, candidate data may pass through different parts of an infrastructure, creating additional considerations around storage, processors, security and access.
A privacy by design approach can reduce some of these risks through the technology itself.
This becomes especially relevant when using AI hiring software, where candidate information may be processed for sourcing, screening or evaluation.
What Should Recruiters Ask About GDPR Compliance?
When a vendor says its software is GDPR compliant, ask:
- Where is candidate data processed?
- Is it stored on a cloud server?
- Who can access it?
- Are third-party processors involved?
- What happens to the data when you stop using the software?
- Is privacy built into the architecture?
These questions can tell you much more than a GDPR compliant label.
They are also useful when comparing an applicant tracking system GDPR approach or evaluating gdpr compliance hr requirements.
How EdgeTal Uses Privacy by Design
- EdgeTal takes a privacy by design approach by keeping AI processing directly on the recruiter's device.
- With on-device AI, candidate information doesn't need to be sent to a cloud server for AI processing. Your candidate pool stays on your device.
- Resume imports through CSV, URLs or local files are processed on device, with embeddings generated locally. Semantic search then finds candidates based on the meaning of their skills and experience.
- EdgeTal also uses an on device llm, allowing the AI model to operate directly on the device.
- This is different from simply using a private llm through a third-party service. Where the model runs and where candidate data is processed both matters.
Privacy by Design vs. GDPR Compliant: What Is the Difference?
The easiest way to think about it is:
GDPR compliant focuses on whether an organization meets its data protection responsibilities. Privacy by design focuses on whether privacy is built into the technology itself. A platform can have strong GDPR compliance policies while relying heavily on cloud infrastructure and third-party processors.
A platform built around privacy by design can reduce some of those risks through its architecture. gdpr by design does not replace GDPR compliance. The two work together, including when choosing gdpr hr software.
Why This Matters for AI Recruiting Software
An ai hiring software platform may process CVs to search for candidates, rank profiles or evaluate fit.
With on device ai, processing can happen directly on the recruiter's device instead of sending candidate information to a remote server.
This doesn't remove the need for GDPR compliance, but it can reduce the amount of candidate data that leaves the recruiter's control.
Final Thoughts
GDPR compliance matters, but seeing GDPR compliant on a recruitment software website shouldn't be the end of the conversation. Privacy by design asks a more practical question: how much privacy is actually built into the technology? For recruiters, that difference matters.
That's the approach EdgeTal takes with on-device AI and local candidate data processing.
FAQs
What is privacy by design?
Privacy by design means building privacy protections into technology from the beginning rather than adding them after the system is developed.
Is privacy by design the same as being GDPR compliant?
No. GDPR compliant refers to meeting data protection responsibilities, while privacy by design focuses on how privacy is built into the technology itself. The two approaches work together.
How does EdgeTal protect candidate data?
EdgeTal uses on-device AI to process candidate data directly on the recruiter's device. Candidate information doesn't need to be sent to a cloud server for AI processing.
Why does privacy by design matter for AI recruiting software?
AI recruiting software can process sensitive candidate information during sourcing, screening and evaluation. Privacy by design can reduce unnecessary data exposure by making privacy part of the technology's architecture.