Safehire.ai provides Digital Risk Screening for high-trust access decisions.
We search relevant surface, deep and dark web sources to identify digital exposure signals that traditional background checks, references and basic online searches may miss. AI supports discovery at scale, and human analysts validate flagged findings before a report is released.
The result is clear, evidence-led reporting that helps organisations make safer, more defensible decisions.
Regulated activity is work the law treats as especially sensitive because it involves significant trust, responsibility, or access to children, vulnerable adults, or people in regulated settings.
It can apply across sectors such as education, care, healthcare, sport, charities, and community organisations. Depending on the role, this may include teaching, caring, supervising, transporting, training, or providing regular support.
People barred from regulated activity must not carry out that work. That is why organisations need more than a basic check, they need evidence that someone is suitable for the access and responsibility the role gives them.
Safehire.ai works through a structured Digital Risk Screening process:
1. Create an account: We check that you are a bona fide organisation.
2. Request a search: You provide the candidate’s core identifiers and confirm the screening basis.
3. AI-enabled discovery: The platform searches relevant surface, deep and dark web sources for signals within the agreed scope.
4. Analyst validation: Flagged results are reviewed and contextualised by a human analyst.
5. Structured report: You receive a clear Green Flag or Red Flag report, with evidence, context and guidance for proportionate next steps.
Reports can be delivered in as little as 24 hours, depending on the plan and priority level.
DBS and police checks are important, but they show recorded history. They do not show every emerging, undisclosed or online risk signal.
Safehire.ai adds Digital Risk Screening: structured visibility into relevant surface, deep and dark web signals that traditional checks were not designed to find.
It sits alongside DBS, references and interviews so safeguarding and access decisions are made with a fuller evidence base.
We only require core identifiers to run a Digital Risk Screening check.
Typically this includes:
- Full name
- Email address
- Telephone number
- Residential address
Your organisation should also ensure the candidate has been informed and that the check is being run on a lawful, proportionate basis.
🐋 The whale is called Echo.
Echo is the name we use for our AI-enabled search engine. It helps connect relevant identifiers across hard-to-reach parts of the internet, so analysts can review potential signals in context before anything is reported.
Safehire.ai is designed to complement traditional checks, not replace them.
DBS and police checks show recorded history. Digital Risk Screening adds visibility into relevant online exposure signals that may not appear in those checks, including surface, deep and dark web indicators. Findings are structured, evidenced and validated so decision-makers can understand what was found, why it matters and what action may be proportionate.
Yes. Education and safeguarding remain core use cases, but Safehire.ai is relevant anywhere an organisation makes high-trust access decisions.
That includes social care, charities, sport and youth organisations, regulated SMEs, technology, financial services, legal services, healthcare, partners and platforms.
The common thread is access: to children, vulnerable people, sensitive systems, regulated roles or high-consequence environments.
Yes, where it is lawful, proportionate and supported by the right policy basis. We can support existing workforce assurance, including targeted re-checks, role changes, promotions, low-level concerns, contractors, volunteers and other positions of trust.
For existing staff, the process should be handled carefully. Organisations should make sure employees are informed, the purpose is clear, and the check fits the role, risk and safeguarding context.
Safehire.ai works with selected partners who want to offer Digital Risk Screening to their own customers or embed it into an existing workflow, such as a background screening platform, HR platform, ATS, workforce risk provider or safeguarding service.
If you are interested in becoming a partner, contact us through New enquiry and tell us about your organisation, customer base, expected volumes and whether you are looking for referral, reseller, platform or API-based delivery. We’ll review the fit and, where appropriate, arrange a conversation.
Red Flags require careful, structured handling, they’re not automatic disqualifiers. You should:
- Review the report with the right internal lead, such as HR, the DSL, safeguarding lead or compliance owner
- Conduct a fair and open interview with the candidate
- Seek legal advice if needed
- Document every step of your decision-making
- Report concerns to authorities if appropriate
In the event you receive a Red Flag Report, there is detailed guidance on the platform to support you.
The deep and dark web cannot be measured like a fixed database. It is fragmented, unindexed and constantly changing.S
We searche billions of relevant open-source and commercially available records curated for threat intelligence and digital exposure work. The focus is not volume for its own sake; it is whether the sources are relevant, lawful and useful for identifying safeguarding or access-risk signals that traditional checks do not cover.
We search relevant surface, deep and dark web sources that standard checks and basic online searches do not reach.
Our AI-enabled discovery helps identify digital activity, identifiers and associations across large datasets. Human analysts then review flagged signals for context, relevance and evidential strength before anything is reported.
The point is structured visibility: what was found, why it matters, and what a proportionate next step may be.
Once you provide candidate information, our platform searches for related digital activity that may raise safeguarding concerns. We analyse the results and produce a report. If there are any Red Flags, we’ll walk you through the next step. Safeguarding-first and legally sound.
The process is structured so findings are useful, proportionate and reviewable:
1. You provide core candidate details and confirm the screening basis.
2. We search relevant surface, deep and dark web sources within the agreed scope.
3. AI-enabled discovery identifies possible digital exposure signals and associations.
4. Human analysts review flagged results for context, relevance and evidential strength.
5. You receive a Green Flag or Red Flag report with clear findings and next-step guidance.
If a Red Flag is found, the report supports a careful review process rather than an automatic decision.
We combine AI-enabled discovery with human analyst validation. AI helps search large volumes of relevant open-source and commercially available data.
Any flagged result is reviewed by a human analyst before release, with attention to source, context, relevance and whether the association is strong enough to report.
Green Flag reports are produced through the platform’s filtering process and subject to quality checks so standards remain consistent.
Yes. Where relevant to the agreed screening scope, we can include lawful, accessible signals from Telegram and similar online environments.These sources may contain activity linked to extremism, hate-based content, child exploitation communities or other safeguarding concerns.
Any flagged result is reviewed in context by a human analyst before it appears in a report.
Broad social media scraping is often noisy, intrusive and hard to apply fairly. It can surface personal context that is irrelevant to the role and increase the risk of bias. We focus on relevant, lawful digital exposure signals within a defined screening scope.
Where surface web content is relevant, it can be considered, but the goal is not a general trawl through someone’s personal life. The goal is evidence-led risk visibility for safer, proportionate decisions.
Most organisations run checks on shortlisted candidates, usually before appointment and often before final interview.That timing keeps the process:
- proportionate,
- gives you a chance to discuss any relevant findings with the candidate
- avoids using digital screening too early in the process.
For higher-risk roles or specific safeguarding contexts, organisations may choose a different stage if it is justified and documented.
Yes. Safehire.ai operates fully within UK law and aligns with South Africa’s Protection of Personal Information Act (POPIA). We use only publicly available and commercially traded intelligence, with no hacking, intrusion, or deception. Think of it as shining a light into harder-to-reach parts of the web, to surface lawful and ethical safeguarding information.
Yes. Safehire.ai is designed to support lawful, proportionate screening under UK GDPR, EU GDPR and South Africa’s POPIA frameworks. We use lawful open-source and commercially available intelligence, with no hacking, intrusion or unauthorised access. Customers remain the Data Controller for recruitment decisions.
Safehire.ai acts as the Data Processor, handling candidate data under customer instruction and applying data minimisation, secure processing and defined retention controls.
Yes. Screening should be fair and transparent. Candidates should be told that digital risk screening may form part of the recruitment process, and organisations should use the right candidate-facing wording in their recruitment notices, policies or application materials.
We can provide wording and guidance so the process is clear, proportionate and aligned with data protection requirements.
Yes. Safehire.ai supports the online search element of safer recruitment and helps organisations document a structured, proportionate approach to digital checks.
For UK education customers, this aligns with the direction of KCSIE safer recruitment practice.
For South African and other international customers, Safehire.ai supports the same underlying duty of care: making high-trust appointments with clearer evidence and better visibility.
No. Safehire.ai respects the right to privacy while ensuring safer recruitment practices. Our searches only use publicly available data, aligning with legal and ethical standards.
For South African customers:
No. Safehire.ai respects the constitutional right to privacy while balancing the duty to protect learners. Our searches only use lawful, publicly available data, consistent with POPIA’s conditions for lawful processing of personal information.
Absolutely not! Safehire.ai never engages in hacking or unauthorised system access.
We only use:
- Publicly available data sources
- Commercially traded lawful data sources
- Strict ethical & legal compliance frameworks
No. We do not engage in illegal forums, buy stolen data, trade in unlawful material or facilitate criminal activity. Where relevant signals appear in lawful intelligence sources, they are handled passively and within defined ethical boundaries. The aim is to identify risk exposure, not to participate in or encourage harmful activity.
We processes candidate data under customer instruction and apply data minimisation throughout the check.
Platform retention period (customer data and reports) is 30 days. After that period, records are disposed of in line with our Data Retention Policy, and any ongoing preservation would only apply where required for audit, litigation, or regulatory reasons.
Safehire.ai is built for organisations that need evidence, process and accountability to withstand scrutiny.
Our security and compliance approach includes:
- ISO 27001 certification
- Cyber Essentials certification
- encryption
- secure data transfer
- access controls
- data minimisation
- defined retention controls
We align with UK GDPR, EU GDPR and POPIA, and our reports are structured for audit, governance and regulatory review.
No. GDPR/POPIA and fair recruitment practices require that candidates are treated lawfully and fairly. Safehire.ai results must always be considered as part of a wider recruitment process that includes:
- DBS checks (UK customers)
Candidates must be given a chance to respond. Decisions should always be fair, proportionate, and legally compliant.
Safehire.ai plans are annual subscriptions with a set number of prepaid reports. If you need more reports before renewal, you can buy Pay-As-You-Go top-ups at the rate attached to your plan. Higher plans offer lower per-report pricing, faster turnaround and additional support.
Add-ons such as Cyber Exposure Reports can be purchased separately where needed.
Yes. You can move to a higher plan if your screening volume increases. Upgrading gives you access to the pricing, turnaround and support level of the new plan from that point forward.
If you only need a small number of extra reports, you can also buy Pay-As-You-Go top-ups at the rate attached to your current plan.
Reports are allocated for the 12-month subscription period. Any unused reports normally expire at the end of that period, and a renewed subscription is needed to continue screening.
If your organisation expects volume to change, you can choose a plan, top up as needed or discuss an Enterprise arrangement that better matches your hiring cycle.
We use AI-enabled discovery to search large volumes of relevant data efficiently, then applies human analyst review where judgement and context matter. That structure keeps the process scalable while preserving quality on flagged findings. It also allows organisations to buy annual plans or top-up reports without building their own specialist intelligence capability.
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