Balancing scale and security: Understanding proctoring models for recruitment in the UAE

In 2025, the United Arab Emirates (UAE) recorded the fastest hiring growth worldwide, showcasing a 39% year-over-year increase in hiring activity as per the 2025 Remote Hiring Report by RemotePass. This growth is driven by several factors, including increased cross-border hiring, post-pandemic business recovery, and a growing preference for remote and hybrid work, which have fundamentally changed how organizations recruit.

Unproctored online assessments carry risks, such as impersonation, answer sharing, and unauthorized resource use, which can negatively impact hiring decisions. At the same time, an overly invasive proctoring experience can frustrate candidates and negatively impact employer brand perception.

Recruiters in the UAE can choose from three distinct proctoring models to address this challenge – live proctoring (real-time human monitoring), AI proctoring (automated behavioral analysis), and recorded proctoring (session capture for later review). Each model comes with its own implications in terms of cost, security, and candidate experience.

This guide examines all three proctoring models to help you determine the right fit for your organization, based on your specific hiring objectives.

Online proctoring refers to the use of AI-powered technology, human supervision, or both to monitor job candidates during remote assessments, tests, or video interviews. It acts as a secure digital replacement for in-person invigilation and helps ensure that the test has been completed under fair, controlled conditions. In terms of recruitment, proctoring usually involves webcam access, screen monitoring, identity verification, and behavioral analysis to detect possibilities of misconduct.

Why companies in the UAE need proctoring

• High-volume hiring: The UAE had a 45% net employment outlook in Q4 2025 as per the ManpowerGroup Employment Outlook Survey, which was one of the highest globally, driven by sustained demand in retail, banking, financial services, insurance, and hospitality industries. At this scale, running unproctored assessments exposes organizations to integrity risks that are difficult to detect and costly to remediate, especially after hiring decisions have been made.
• Cross-border talent pools (expatriates): A majority of the UAE’s workforce consists of expatriates, and several candidates are assessed from their home countries before they relocate. Without proctoring, cross-border hiring relies primarily on candidate self-reporting for the verification of their identity. This can prove to be a significant vulnerability when hiring at a distance and at volume.
• Remote-first hiring trends: For years now, the UAE has stood out for its rapid adoption of remote work, reflecting a worldwide shift towards fully digital assessment workflows. As remote hiring transitions from being an exceptional circumstance to being a standard, proctoring can no longer be an optional safeguard; it has become an operational requirement for ensuring assessment validity and integrity.

Risk of unproctored assessments

• Impersonation: A proxy candidate completes the assessment on behalf of the actual applicant.
• Tab switching: Candidates access external websites or reference documents while undergoing the assessment.
• Answer sharing: In high-volume hiring drives, coordinated answer sharing is a documented risk.
• Outside assistance: Candidates may solicit help from others to clear the assessment.
• AI-assisted fraud: The rise of generative AI allows candidates to answer technical or cognitive questions instantly using AI tools.
• Distractions and inconsistent environments: Uncontrolled settings and external distractions can reduce performance and create unfair disadvantages.
• Lower predictive validity: With cheating, the assessment may not actually predict future job performance, leading to bad hires.
• Potential for legal issues: If not properly validated, unproctored tests can create hidden biases, leading to unfair rejection rates for certain demographic groups.

Live proctoring (Human-based monitoring)

This involves a human invigilator monitoring the candidates in real-time through a webcam feed. The invigilator verifies a candidate’s identity at the start, observes the candidate’s behavior, and intervenes directly if they detect suspicious behavior.

Key features:

• Real-time identity verification at the start of the session.
• Continuous visual and audio monitoring by a trained human invigilator.
• Invigilators can intervene immediately to warn, pause, or terminate the assessment.
• Detailed documentation is created for post-assessment review or dispute resolution.

Pros:

• The highest level of security among all three models, with minimal risk of false negatives.
• Candidates are less likely to attempt misconduct under direct human observation.
• Ideal when hiring for high-stakes, compliance-sensitive job roles where assessment integrity cannot be compromised.

Cons:

• Each assessment requires a dedicated human resource, which can lead to high costs per session.
• Not scalable for mass hiring, as running hundreds of concurrent live-proctored sessions is operationally complex.
• Best use cases in the UAE:
• Leadership and senior executive hiring, where the cost per hire justifies the investment.
• Government and public sector roles with formal compliance requirements.
• Finance and banking assessments where regulatory guidelines mandate documented oversight.

AI proctoring (Automated monitoring)

This uses machine learning algorithms for monitoring candidates in real-time or near real-time. The system analyzes webcam feeds, audio inputs, and browser behavior to detect irregularities.

Key features:

• Automated behavioral flagging to log and tag incidents for review.
• Scalable monitoring across hundreds or thousands of concurrent sessions.
• Screen and browser activity tracking.
• Easy integration with identity verification tools.

Pros:

• Cost-effective at scale, with lower per-session costs for higher volumes.
• Well-suited for large hiring drives where real-time human supervision of every session is not feasible.
• Generates detailed reports and incident logs that HR teams can review post-assessment.

Cons:

• False positives are an inherent limitation, and factors such as lighting variation, shared workspaces, or physical characteristics can trigger flags incorrectly.
• Requires a post-assessment review process to validate flagged sessions.

Best use cases in the UAE:

• Campus and graduate hiring drives that involve hundreds of simultaneous candidates.
• Volume hiring in retail, BPO, logistics, and hospitality industries, where the UAE has strong and sustained hiring demands.
• Hiring requirements where the primary requirement is rapid screening at scale.

Recorded proctoring (Review later model)

This model captures the candidate’s webcam feed, screen activity, and audio throughout the assessment session. Instead of enabling real-time monitoring, this type of proctoring stores the recording for review by a designated team member at a later point.

Key features:

• Full session recording of the webcam, screen, and audio.
• Flexible review scheduling allows HR or compliance teams to review the recordings at a time that suits their workflow.
• Lower real-time infrastructure requirements as compared to live proctoring.
• Supports post-assessment dispute resolution with a verifiable audit trail.

Pros:

• Budget-friendly proctoring that provides a meaningful integrity layer without the cost of live oversight.
• Flexibility in scheduling allows candidates to take assessments at a time they prefer without requiring a live proctor to be available simultaneously.

Cons:

• Reviewing the recordings is necessary for the final results of the assessment, which delays decision-making and adds time to the hiring cycle.
• Reviewers must watch recordings, which requires manual effort and can be time-intensive at high volumes.

Best use cases in the UAE:

• Mid-level and specialist roles that require a certain degree of integrity assurance but not immediate intervention.
• Contexts such as assessing global candidate pools across multiple time zones, where flexibility in scheduling is important.
• Organizations with limited budgets that want to find a balance between zero proctoring and live human supervision.

Here is a comparative snapshot of the different types of online proctoring across parameters that are most relevant to UAE hiring teams.

It is imperative to understand that there is no ‘one-size-fits-all’ approach to proctoring. The right choice will depend on your organization’s specific requirements and hiring goals.

Based on hiring volume

Volume is one of the most important considerations for choosing the right proctoring model for your organization. When hiring at scale, live proctoring becomes operationally untenable. For mass recruitment drives in the UAE, AI proctoring is the only model that can provide high-integrity results at the required speed. On the other hand, when hiring for a small number of critical roles where each appointment carries a lot of organizational risk, live proctoring provides the level of assurance that justifies the investment.

Based on role sensitivity

Finance, banking, compliance, and government-adjacent job roles in the UAE operate within strict regulatory guidelines that demand documented, defensible assessment processes. Live proctoring offers clear audit trails and real-time intervention capabilities, which align well with these requirements. For operational or entry-level job roles, where the primary screening objective is efficiency, AI proctoring or the recorded model provides adequate integrity assurance.

Based on budget constraints

The costs associated with live proctoring can be substantial, especially when applied at scale. With budgetary constraints, a hybrid of AI and recorded proctoring can provide cost efficiency while also maintaining assessment integrity. On the other hand, organizations that have greater budget flexibility, especially when hiring for senior or compliance-sensitive roles, will find the investment in live proctoring to be justified, given the reduced risk of a costly bad hire.

Based on candidate experience

Recruiters in the UAE must manage a growing trust deficit. According to a 2025 Gartner survey, only 26% of candidates trust AI to evaluate them fairly, while 25% of candidates said that they trust employers less if they use AI to evaluate their applications. While live proctoring is ideal for senior and high-compliance roles where candidates expect rigorous testing, for junior roles or high-volume hiring, AI or recorded proctoring models are better for a candidate-friendly experience.

Based on time-to-hire

AI proctoring, integrated with automated flagging and escalation logic, supports the quickest time-to-hire. In this model, candidates complete the assessments, incidents are automatically flagged, and only borderline cases are marked for human review. Live proctoring also provides immediate results, but may require scheduling coordination, which can add time to the overall hiring cycle. Recorded proctoring is the slowest of the three and involves a review lag.

Most sophisticated hiring operations do not rely exclusively on one proctoring model. Combining AI monitoring with selective live or recorded review for a hybrid approach to online proctoring is increasingly being recognized as the most pragmatic solution for organizations that need both scale and security. In corporate hiring, AI can handle the volume, while human review can be reserved for critical job roles or flagged cases.

The hybrid model is particularly well-suited to the UAE’s hiring environment, where organizations must simultaneously manage high-volume screening across varied candidate pools as well as high-stakes hiring for job roles in regulated industries.

This ‘human-in-the-loop’ strategy offers recruiters the best of both worlds:

• Reduced bias: Reframes AI-augmented processes as a way to reduce the subjectivity that is inherent in human-only monitoring.
• Increased efficiency: Ensures that recruiters only spend time reviewing high-risk cases rather than entire sessions.
• Enhanced fairness: A human makes the final decision on a flagged case, ensuring that legitimate behaviors are not misinterpreted by an algorithm.

The UAE operates under the Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (PDPL), which governs the collection, processing, and retention of personal data. Organizations deploying proctoring technology in their hiring process must ensure that candidates provide informed consent before any recording begins, that the data is stored in compliant environments, and that retention periods are clearly defined and observed.

Beyond local law, UAE-based multinationals must also respect international privacy regulations, especially when candidates are EU nationals or may have their data stored on European infrastructure. This means that organizations must remain bound by the stringent guidelines that govern how data travels across borders, the right to erasure, and the maintenance of transparency in personal data processing.

Organizations that treat compliance as a strategic priority instead of a checkbox exercise also benefit from improved candidate trust, which is a compelling value proposition in a market where top talent has multiple options.

Best practices for UAE-based hiring teams:

• Provide candidates with clear explanations of what data will be captured, how it will be used, and for how long it will be retained.
• Obtain explicit consent from candidates before the assessment begins, instead of embedding it in the general terms and conditions.
• Use proctoring platforms that store data in compliant, regionally appropriate environments.
• Data collected for proctoring must not be used for other purposes without additional consent.
• Establish and communicate a data retention policy. Assure candidates that assessment recordings are not being held indefinitely.
• Ensure that candidates are able to raise any concerns they have about proctoring without it disadvantaging their application.
• Candidates have the legal right to access their recorded data and should be able to make requests for corrections in case of inaccuracies.

Mercer Assessments provides an end-to-end proctoring infrastructure that can support all three models – live, AI, and recorded – within a single platform. This allows hiring teams to configure the ideal level of oversight for each type of assessment, instead of having to apply a one-size-fits-all approach.

Beyond proctoring, Mercer Assessments offers validated psychometric, cognitive, and domain-specific test libraries, so organizations can combine scientifically validated candidate evaluations with rigorous integrity controls.

According to Mercer 2025 Global Talent Trends, 74% of HR leaders who use psychometric assessments in recruitment processes have reported better-quality hiring decisions, which underscores the value of pairing strong assessments with equally strong integrity infrastructure.

Key differentiators

• Advanced AI detection: Multi-factor behavioral analysis that includes face presence, eye movement, audio anomalies, and screen activity, with a documented track record of high accuracy in detection.
• Customizable proctoring levels: Organizations can define different proctoring configurations for different types of job roles, enabling a tiered approach that aligns oversight intensity with role sensitivity.
• Detailed audit reports and logs: Every proctored session generates a structured incident report, providing documented evidence trails that compliance-heavy sectors require.
• Support for a global candidate base: The platform is designed to handle candidates across time zones, geographies, and technical environments, making it well-suited to the UAE’s cross-border hiring reality.
• Ability to scale for mass hiring: The platform can handle high-volume assessment campaigns without sacrificing monitoring quality, which makes it ideal for hiring in the UAE’s retail, BFSI, hospitality, and logistics sectors.
• MSB: A lockdown browser that prevents unauthorized tab switching and screen-sharing, which addresses the risk of candidates misusing generative AI tools in real-time.

In the quest for hiring top talent, the most sophisticated proctoring model may not always be the best choice for your organization. You should choose a model that calibrates the level of monitoring with the risk profile of the job role. While live proctoring is the industry benchmark for security, AI proctoring provides the scalability that high-volume UAE hiring demands, and recorded proctoring is the practical, budget-conscious option for mid-level and flexible hiring contexts where real-time monitoring is not essential.

In a market as competitive and diverse as the UAE, the organizations that will hire most effectively are those that match their assessment infrastructure to their actual hiring needs, not those that apply the most intensive controls by default. Proctoring, when configured thoughtfully, is not a barrier to candidate experience; it is a signal to candidates that the assessment they are completing is fair, rigorous, and worth their time.