As assessment programs continue to grow in scale and complexity, institutions are rethinking how proctoring decisions are made. Early AI-only solutions promised efficiency, but the reality often included something very different: false positives, confusing flags, and test-takers who felt judged by a system that didn’t understand their context. This AI-only proctoring trend has led to unnecessary administrative burden, increased support tickets, and growing distrust from test-takers.

On the other end of the spectrum, human-only proctoring doesn’t scale easily, can be inconsistent across reviewers, and often comes with higher costs and scheduling constraints.

That’s why more organizations are turning to a hybrid model, where AI handles detection at scale and human reviewers bring the context, nuance, and judgment needed to make fair, defensible decisions.

This hybrid approach blends the consistency and speed of automation with the nuance, empathy, and real-world judgment that only people can provide.

Why AI Alone Isn’t Enough

AI is very good at spotting patterns: movement in the frame, changes in lighting, new objects entering the screen, or shifts in gaze. It can scan hours of video in seconds and flag moments that stand out against the norm.

But exams don’t happen in lab conditions. They happen in real homes, workplaces, libraries, training centers, and shared spaces, with real life happening in the background.

AI alone struggles with:

• Involuntary movements: such as fidgeting, or sensory self-regulation
• Neurodivergent behaviors: like breaking eye contact, or using comfort objects
• Assistive technology: screen readers, alternative input devices, or captioning tools
• Environmental interruptions: family members walking by, doors opening, sudden noises
• Cultural differences: different norms around eye contact, gestures, or communication
• Shared environments: where other people may reasonably be nearby

What looks “suspicious” to an algorithm might simply be a student thinking, a parent checking on a child, or a worker taking an exam in the field.

When AI misreads these situations, it creates:

• unnecessary stress for test-takers
• extra work for administrators
• credibility questions about the results

That’s where human review becomes critical.

Why Human Alone Isn’t Enough

While human reviewers bring empathy, judgment, and contextual understanding to proctoring, relying on people alone creates a different set of challenges. Human-only models struggle with consistency, scalability, and efficiency, especially as assessment programs grow.

Human-only proctoring often leads to:

• Inconsistent interpretations: different reviewers may judge the same behavior differently
• Limited scalability: staffing constraints make it difficult to support large testing volumes
• Scheduling friction: requiring live availability for every exam window
• Higher operational costs: cost per session rises quickly when scaling human labor
• Slower turnaround times: reviews, escalations, and decisions depend on human bandwidth
• Greater potential for bias: unconscious assumptions may influence interpretations

And importantly, human-only oversight simply can’t match AI’s ability to scan long sessions efficiently, identify subtle environmental changes, or pattern-match at scale.

This creates an environment where:

• test-takers may be treated differently depending on who reviews their session
• administrators face delays waiting for manual review
• institutions absorb higher labor costs and logistical complexity
• stakeholders question the consistency and defensibility of evaluation outcomes

Human review is essential, but oftentimes not sufficient on its own.

Taken together, these two extremes paint a clear picture:

• AI alone is fast, but too rigid and context-blind to be fully fair.
• Humans alone are contextual and empathetic, but too limited and inconsistent to scale.

Institutions don’t need more of one or the other, they need both working together.

That’s where a hybrid AI + human review model comes in: AI handles detection at scale, while human reviewers bring the nuance, judgment, and fairness needed to make defensible decisions.

The Best of Both Worlds: Hybrid Review

A hybrid AI + human model brings together the strengths of both approaches while minimizing their limitations. Instead of choosing between speed or fairness, institutions get a workflow that delivers both, and at scale.

In a hybrid system, AI surfaces moments that may require attention, scanning for patterns and anomalies far faster than any human could. Then, trained human reviewers step in to evaluate those moments with the context, nuance, and judgment that AI simply cannot provide.

This creates a review process that is:

Faster and more efficient

AI handles the heavy lifting of detection, dramatically reducing the time humans spend reviewing full sessions or searching for notable moments.

More accurate and reliable

Human reviewers validate AI-identified events, preventing false positives and ensuring that only meaningful issues are flagged for institutions.

Fair for every test-taker

Whether a learner is using assistive technology, or simply nervous, human context helps ensure they aren’t penalized for normal or unavoidable behavior.

Transparent and defensible

Hybrid review creates clear audit trails that document both automated observations and human decisions, a critical requirement for accreditation, appeals, and internal accountability.

Consistent across sessions

AI provides consistency in detection, while humans ensure fairness in interpretation. Together, they reduce the variability and bias that can occur with human-only models.

Scalable for growing programs

AI enables institutions to handle large volumes of exams, while human reviewers are focused on meaningful, high-value decisions rather than routine monitoring.

By combining precision with empathy, hybrid review delivers a level of balance that neither AI nor humans can achieve alone. It’s a model built for modern assessments, diverse, distributed, and held to increasingly high expectations of fairness and trust.

Why Hybrid Review Is Becoming the New Baseline

More and more institutions are putting hybrid review on their “must have” list when evaluating proctoring solutions. Some of the biggest drivers include:

1. Reducing False Positives

False accusations or unnecessary investigations damage trust. Hybrid review reduces these incidents by ensuring that flagged behavior is double-checked by a human before it’s escalated or recorded as misconduct.

2. Supporting Diverse Learners

Assessment programs serve test-takers with a wide range of needs, backgrounds, and environments. Hybrid models are better equipped to ensure that neurodivergent learners, disabled test-takers, and individuals using assistive tools are treated fairly.

3. Improving Defensibility

When results are challenged, institutions need to show not just that a flag was raised, but that it was reviewed thoughtfully. Human-reviewed outcomes, supported by clear evidence, are easier to defend and explain.

4. Building Trust in the Process

When learners know there are humans involved, not just algorithms, they’re more likely to perceive the system as fair. That perception matters for participation, satisfaction, and long-term credibility.

5. Aligning With Evolving Policies

Many regulatory and professional bodies are now paying closer attention to how high-stakes decisions are made. Hybrid proctoring aligns with expectations for human oversight in processes that can impact credentials, careers, and educational pathways.

How Integrity Advocate’s Hybrid Approach Stands Apart

Hybrid review isn’t an add-on for Integrity Advocate, it’s at the core of how the system works.

Our approach:

• Uses AI to assist, not replace, human decision-making
• Ensures that all flagged moments receive human validation
• Keeps the focus on identity, participation, and policy-relevant behavior, not unnecessary surveillance
• Respects privacy by operating within a privacy-first, minimal-data framework
• Delivers clear, actionable reporting that teams can understand without needing to decode raw AI outputs

This combination of privacy-first design, seamless LMS integration, and hybrid AI + human review gives institutions what they’ve been asking for: integrity that is both strong and humane.

Building Fairness Into Every Review

Fairness shouldn’t depend on which exam a learner takes or which proctor happens to be on duty that day. It should be built into the system.

Hybrid AI + human review moves proctoring closer to that ideal by:

• balancing speed with judgment
• combining detection with understanding
• pairing integrity safeguards with respect for test-takers

For institutions, it means more reliable outcomes, fewer disputes, and a stronger foundation of trust. For learners, it means being seen as a person, not just a set of data points.

If your program is looking to reduce friction, elevate accuracy, and strengthen confidence in your assessment process, hybrid review is one of the highest-impact changes you can make. Book a Demo today!

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In 2025, one theme rose above all others in the world of online proctoring: privacy is now a deciding factor in whether organizations adopt, keep, or replace their proctoring vendor. As remote exams and digital credentialing continue to scale, institutions are realizing that effective proctoring isn’t just about stopping misconduct, it’s about doing it in a way that respects the people behind every assessment. This shift has been driven by a few powerful forces:

• growing public discomfort with invasive surveillance
• stricter global and institutional data protection requirements
• accreditation bodies demanding clearer, more defensible privacy practices
• test-takers becoming more vocal about what they will, and won’t, accept

It’s no longer enough to secure exams; organizations also have to secure trust. And that begins with privacy.

From “Nice to Have” to Non-Negotiable

Only a few years ago, privacy considerations were something addressed near the end of a vendor evaluation. Today, they’re the starting point. Learners, legal teams, regulators, and internal privacy officers are asking tougher, more detailed questions:

• What exactly is being recorded?
• How long is the data stored, and who can access it?
• Do test-takers have to install software on personal devices?
• Is biometric data being captured or saved?
• Does the system monitor more than is truly needed?

These aren’t niche concerns, they’re fundamental expectations. And when programs can’t answer these questions confidently, trust and adoption suffer.

This is why privacy-first proctoring has moved from a helpful differentiator to a baseline requirement for any institution serious about delivering fair, modern, and defensible assessments.

What Privacy-First Proctoring Actually Means

Many proctoring tools call themselves “privacy-friendly,” but privacy-first is something different. It’s not a marketing angle, it’s an architectural choice. It shapes how the system is built, what data it collects, and how it interacts with both learners and administrators.

Here’s what privacy-first looks like in practice with Integrity Advocate:

1. Minimal Data Collection: Only What’s Necessary

Integrity Advocate collects only what is needed to confirm identity and verify participation. No scanning of personal files, no continuous background monitoring, no broad access to the device.

This approach aligns with global data minimization standards and simplifies conversations with privacy and compliance teams.

2. A No-Install, Browser-Based Experience

Because Integrity Advocate runs directly in the browser and works within your LMS, there’s no software to download or manage, which means:

• No risk of lingering software on personal devices
• No conflicts with corporate firewalls
• Fewer technical issues and exam-day barriers
• A far less intrusive experience for test-takers

Privacy improves, and so does usability.

3. No Biometric Template Storage

While some proctoring tools rely on building biometric profiles, Integrity Advocate verifies identity without storing facial templates or other high-risk biometric data.

With global privacy regulations tightening, avoiding biometric storage removes one of the most sensitive risk categories for institutions.

4. Clear, Time-Bound Retention and Encrypted Storage

Transparency matters. Institutions want to know:

• how long exam data is kept
• how it’s encrypted
• who can access it
• when and how it’s deleted

Integrity Advocate supports strict retention timelines and secure storage practices, reducing long-term exposure and easing accreditation and audit reviews.

5. Privacy by Design, Not Added Later

Every feature of Integrity Advocate, from identity verification to participation monitoring to human review, is built with privacy constraints in mind. We don’t add privacy after development; we design around it from the start.

That mindset results in a system that is respectful, compliant, and aligned with the expectations of modern digital assessment.

Why Privacy-First Proctoring Will Lead Vendor Decisions in 2026

The move toward privacy-first proctoring isn’t slowing down, it’s accelerating. Several trends point to why institutions will prioritize these solutions in the coming year:

1. Regulatory and Accreditation Requirements Are Rising

Regulatory environments worldwide are becoming more prescriptive about personal data use. Institutions are expected to demonstrate:

• data minimization
• justified data collection
• documented retention and deletion practices
• strong encryption protocols
• thoughtful handling of sensitive data

A privacy-first proctoring partner reduces compliance burden and institutional risk.

2. Learner Trust Drives Program Success

When test-takers feel uncomfortable or monitored too aggressively, exam anxiety rises, completion rates fall, and complaints increase. Trust isn’t just a philosophical concept, it affects outcomes.

Privacy-first proctoring improves the entire assessment experience by reducing friction and creating a clearer, more respectful process for learners.

3. Usability and Privacy Are Now Interconnected

Many of the decisions that protect privacy also make proctoring easier to use:

• No installs → fewer technical failures
• Minimal monitoring → fewer permissions and pop-ups
• Embedded LMS workflows → less confusion for learners
• Transparent policies → fewer escalations on exam day

When privacy improves, usability improves, and your program benefits immediately.

4. Intrusive Tools Are Becoming Harder to Justify

Solutions that require extensive device access, deep installs, or full desktop monitoring are facing increasing resistance, from learners, privacy teams, IT departments, and regulators.

Organizations that adopted heavy client-based tools early in the remote testing surge are now looking for alternatives that carry less risk, less friction, and less complexity.

Privacy-first proctoring offers exactly that.

Privacy-First Doesn’t Mean Less Secure, It Means More Responsible

A common misconception is that privacy-first design compromises security. In reality, the opposite is true. Effective proctoring is not about collecting more data; it’s about collecting the right data in the right way.

Integrity Advocate balances:

• identity verification
• participation and engagement monitoring
• AI-assisted analysis
• human oversight for context
• transparent, reviewable reporting

This approach strengthens fairness, defensibility, and trust without relying on invasive surveillance.

As You Plan for 2026, Privacy Should Lead the Conversation

As institutions prepare for the next evolution of remote and hybrid assessment, a few key questions can guide whether your current proctoring approach is still the right fit:

• Can we clearly explain the data our proctoring tool collects and why?
• Would our privacy or legal teams feel comfortable defending these practices?
• Are learners confident and comfortable using our current system?
• Do we rely on unnecessary installs or device access we’d prefer to avoid?
• Would our approach hold up under accreditation or regulatory review?

If any of these questions reveal uncertainty, a privacy-first model may be the solution your program needs.

See How Privacy-First Proctoring Strengthens Both Trust and Integrity

Integrity Advocate proves that you don’t have to choose between protecting exams and protecting people. You can uphold integrity, support fairness, and respect privacy, all within one streamlined, secure solution.

If strengthening trust, improving usability, or modernizing your assessment strategy is on your roadmap for 2026, we’d be happy to show you how privacy-first proctoring can support your goals.

Book a Demo with Integrity Advocate

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As 2025 comes to an end, it’s clear that the online proctoring industry has undergone one of its most transformational years yet. The conversations we had, the challenges institutions faced, and the expectations exam takers voiced have all reshaped what “good” looks like in remote assessment, shifting the focus from simply catching misconduct to building systems that are trustworthy, transparent, and sustainable.

The lessons were unmistakable. This year forced institutions and vendors alike to confront hard questions about privacy, fairness, accessibility, and the real human experience behind every exam session. In doing so, 2025 didn’t just change how we secure assessments, it reset the bar for what responsible, learner-centered online proctoring must look like going forward.

What 2025 Taught Us About Online Proctoring

1. Privacy is no longer a “feature”, it’s a requirement.

This year, exam takers became more vocal than ever about how their data is handled, what is recorded, and what surveillance technologies are being used. The demand for minimal data collection, no unnecessary storage, and low-intrusion monitoring accelerated across higher education, associations, and enterprise training.

Institutions realized that privacy-first design isn’t just good ethics, it’s good adoption strategy.

2. AI expanded its role, but human oversight remained essential.

The use of AI in proctoring continued to improve in 2025, offering better pattern recognition, anomaly detection, and flag reduction. But organizations learned a crucial truth: AI alone cannot reliably interpret context, intent, or accessibility accommodations.

The market shifted toward hybrid models where AI handles detection at scale and humans deliver fairness, nuance, and informed decision-making. This aligns with Brandon Smith’s view that “human-backed AI wins on accuracy, equity, and trust.”

3. LMS-first workflows became the defining purchase factor.

According to the 2025 Market Report, LMS integration remained one of the strongest drivers of adoption, far outweighing individual product features. Seamless integration reduced faculty workload, lowered IT overhead, and ensured more consistent student experiences.

Institutions and enterprises made it clear: If the proctoring solution adds friction, it’s not the right solution.

4. Growth continued, but it wasn’t evenly distributed.

The global market reached US$945M in 2024 and is projected to reach US$1.08B in 2025, on its way to US$2.2B by 2030. But what stood out?

• Schools & universities still lead at 53% of global demand.
• Enterprise and government sectors are now the fastest-growing segments, fueled by compliance training, certification exams, and remote workforce expansion.
• Mid-stakes assessments grew significantly, creating demand for scalable, flexible, affordable solutions.

2025 proved that proctoring is no longer an education-only tool, it’s a workforce and credentialing necessity.

5. End-user experience became a competitive differentiator.

Test takers made their expectations known:

• no downloads
• no surveillance-like monitoring
• clear instructions
• lightweight, low-stress verification
• products designed with accessibility and inclusivity in mind

User experience became a measurable component of exam integrity.

6. Institutions demanded transparency and evidence, not black-box AI.

In 2025, purchasing teams asked harder questions:

• What exactly does the AI detect?
• How accurate are the flags?
• Who verifies them?
• What data is stored, and for how long?
• Can instructors see exactly what happened during the exam without relying on vendor interpretation?

Solutions positioned as “too automated” or “too opaque” lost ground to platforms offering explainability and audit-ready reporting.

7. Flexibility and configurability beat rigid, one-size-fits-all models.

Organizations embraced layered security approaches, choosing the right level of monitoring based on exam stakes, risk tolerance, and learner population. This aligned with a broader shift away from “live proctoring for everything” toward dynamic, context-driven integrity strategies.

What’s Coming in 2026? 10 Trends That Will Shape the Next Era of Proctoring

Pulling from market data and institutional feedback, here are the biggest shifts already underway:

1. Hybrid AI + human review becomes the dominant model

In 2026, the winning approach won’t be AI-only or live-only, it will be human-backed AI. AI will handle detection at scale, while trained reviewers provide context, fairness, and defensible decisions. This combo reduces false positives and gives institutions the transparency they need for audits and appeals.

2. Privacy expectations rise, and drive buying decisions

Privacy moved from talking point to purchasing criteria in 2025, and that continues into 2026. Institutions will scrutinize what’s collected, how long it’s stored, and whether surveillance-style monitoring is truly necessary. Solutions built on minimal data, privacy-by-design, and clear documentation will move to the top of the shortlist.

3. Workforce, compliance, and credentialing programs demand tailored workflows

Mid-stakes and professional exams in construction, healthcare, financial services, hospitality, IT, and more will expand what proctoring needs to support. These programs bring shift-based teams, low-bandwidth environments, specific integrations, and varied risk profiles. Providers will win by offering industry-specific configurations and workflows, not just repurposed higher-ed models.

4. LMS- and platform-native proctoring overtakes standalone tools

Organizations are done with fragmented systems and extra logins. Proctoring will increasingly live inside LMSs and training platforms, with exams syncing automatically and settings controlled where instructors already work. If a solution adds friction to Canvas, D2L, Moodle, TopClass, or a corporate training portal, it will struggle to gain traction.

5. AI shifts from “flag everything” to “flag what matters”

Institutions don’t want long lists of noisy alerts; they want fewer, more accurate flags. AI will evolve toward better context-awareness, bias reduction, and meaningful triage that highlights only what truly needs review. The metric moves from “how much did we flag?” to “how much time and confusion did we save?”.

6. Human escalation pathways become standard, not optional

Programs increasingly expect clear answers to “who reviews what, and how?”. 2026 will normalize structured escalation paths: human verification of AI flags, documented decisions, and audit-ready summaries. Human oversight becomes a governance requirement, not just a nice-to-have.

7. Accessibility and inclusive design become baseline expectations

Accessibility will be evaluated at every step of the proctoring workflow. Institutions will favor solutions that reduce cognitive load, support assistive technologies, simplify ID verification, and avoid patterns that penalize neurodivergent or disabled exam takers. Inclusive UX becomes both a compliance obligation and a brand differentiator.

8. Identity verification gets lighter, smarter, and less intrusive

The trend is away from heavy biometric checks and toward low-friction, privacy-respecting verification. Expect growth in document-based checks, LMS-linked authentication, instructor-approved methods, and verification that’s woven into the session rather than front-loaded and stressful. Quick, repeatable, and non-invasive will be the new standard.

9. Evidence packages replace full-length recordings

Administrators don’t have time to scrub through hours of video. Proctoring platforms will increasingly provide condensed evidence packages, key clips, timestamps, and summaries, rather than raw, unfiltered recordings. This shift cuts review time, supports appeals, and makes integrity easier to manage at scale.

10. Cost transparency and total cost of ownership drive decisions

With tighter budgets, organizations will look beyond license price to the true cost of ownership, including instructor time, training, support volume, and false-positive management. Pricing models tied to heavy live proctoring or hidden add-ons will face more resistance. Transparent, predictable, tiered models aligned to exam stakes will win.

What It All Means for Integrity Advocate

For us, 2025 validated what we’ve believed for years:
Integrity doesn’t require intrusion. Security shouldn’t add friction. And exam takers deserve dignity, not surveillance.

Our commitment remains:

• privacy-first architecture
• no installs for supported LMSs
• human-backed AI for fairness and accuracy
• lightweight identity verification
• configurable security layers
• seamless LMS integrations
• accessible, inclusive UX
• transparent, audit-ready reporting

2026 will raise expectations across the industry. We’re ready, and excited, to continue shaping a future where exam integrity and humanity coexist. Schedule a demo to learn more about our approach.

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The Online Exam Proctoring Market: 2025 Edition report confirms what many institutions, certification bodies, and training organizations already feel: remote assessment has officially entered a new era. The market is expanding rapidly, expectations around privacy are rising, and organizations are demanding solutions that deliver security without unnecessary intrusion.

Below is a breakdown of the report’s most important findings, and how Integrity Advocate stands out as the solution designed for 2025 and beyond.

1. The Market Is Growing, Fast

The report shows the global online proctoring market reached $945.62M in 2024 and is projected to more than double to $2.19B by 2030 (CAGR 15.11%).

This growth isn’t just about more online learning. Organizations worldwide are searching for scalable, reliable, and compliant ways to maintain exam integrity across:

• Higher education
• Certification & licensing bodies
• Government programs
• Workforce and safety training

As budgets tighten and expectations rise, solutions that require no installation, no scheduling, and minimal administrative overhead are becoming the preferred option. Integrity Advocate offers exactly that, a secure, streamlined workflow that doesn’t weigh down learners or admins.

2. Human Oversight Remains Essential, Even as AI Accelerates

The report notes that human-centered models still dominate: live proctoring accounts for 50.59% of market share in 2024.

This underscores a key truth: Organizations want the accuracy and fairness that only human context can provide.

Automation alone simply isn’t trusted to make final decisions, especially when exam outcomes impact careers, credentials, or safety-sensitive roles.

Integrity Advocate was built on hybrid oversight long before it became an industry trend.

• AI handles scale efficiently
• Human reviewers validate context, tone, and intent
• Reports focus on clarity, not confusion

This means fewer false positives, fewer escalations, and far better outcomes for both administrators and exam takers, all without the invasiveness of live video monitoring.

3. Education Leads Today, But Enterprise Growth Is Surging

Education continues to be the largest segment, representing 53.18% of worldwide demand in 2024. Government and enterprise follow at 24.58% and 22.24% respectively.

The trend lines are clear: Remote certification, upskilling, and workforce credentialing are becoming standard across industries.

Integrity Advocate serves all three segments with equal strength:

• Education: seamless LMS integration + student-centric privacy
• Government: audit-ready documentation + compliance built in
• Enterprise & safety-critical industries: identity verification + fair, scalable oversight on any device

The same lightweight workflow works everywhere, reducing IT strain and increasing adoption speed.

4. North America Continues to Lead, Driven by Privacy Expectations

North America accounts for 41.50% of the global market, making it the most mature and demanding region.

What’s accelerating adoption?

• Digital learning expansion
• High compliance standards
• Stronger expectations around data privacy
• Growing discomfort with intrusive surveillance tools

Unlike legacy proctoring platforms, Integrity Advocate rejects the “collect everything” model. We are the only privacy-first provider that:

• Stores no biometric data
• Captures the minimum data required
• Avoids unnecessary device lockdowns
• Ensures exam-taker dignity and transparency

As privacy regulations tighten, this approach isn’t just preferred, it’s becoming required.

5. AI Adoption Is Rising, But Hybrid Models Are the Future

The report emphasizes increasing demand for AI-powered proctoring complemented by human review, not replaced by it. Industry-wide, this hybrid approach is considered more fair, more accurate, and more defensible.

Integrity Advocate has championed hybrid oversight from the beginning. Our approach ensures:

• Higher accuracy
• Lower administrative burden
• More trust from learners
• Reduced technical friction
• Better transparency in flagged events

It's everything institutions want, without the invasiveness they’ve grown tired of.

Why Integrity Advocate Is Emerging as the Clear Leader in 2026 and beyond

The trends are unmistakable, and they all point toward a solution like ours:

• Privacy-first: A direct answer to rising concerns about surveillance and data overreach.
• Hybrid Proctoring: Aligns with the report’s confirmation that human oversight remains essential.
• No-install simplicity: A critical differentiator as organizations scale online assessment.
• Seamless LMS integration: Meeting institutions exactly where they are, not forcing new systems.
• Audit-ready reporting: Reducing administrative workload and increasing compliance confidence.
• Scalable across sectors: Education, enterprise, associations, licensing boards, government, the same streamlined workflow supports them all.

Final Takeaway: The Market Is Evolving, Integrity Advocate Already Has

The report makes it clear that organizations increasingly want security + privacy, AI + human context, and scalable + simple workflows.

Integrity Advocate isn’t adapting to these trends, we were built for them.

If your institution or organization is preparing for the next chapter of online assessment, we’d love to walk you through how a privacy-first, human-backed approach can transform your testing experience. Feel free to schedule a demo here.

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The EXG2025 Conference brought together leaders in testing, credentialing, AI, automation, and digital governance for one of the most forward-looking events of the year. Organizations across industries are moving from experimentation to real-world implementation, especially when it comes to artificial intelligence, operational automation, and trust-centered innovation.

This recap highlights the most important insights from EXG2025, including trends shaping 2025, practical case studies, and why responsible technology adoption matters now more than ever.

What EXG2025 Revealed About the Future of Digital Governance

The central message at EXG2025 was clear: innovation must be built on integrity. As AI and automated systems become embedded across organizations, trust, transparency, and accountability are essential for long-term success.

Speakers repeatedly emphasized that technology moves fast, but organizations must move responsibly.

Key themes included:

• Governance models that prioritize transparency
• Responsible AI frameworks
• Human-in-the-loop oversight
• Data protection and ethical automation
• Cross-functional alignment to accelerate innovation

These themes provided a roadmap for organizations navigating rapid transformation.

Top EXG2025 Takeaways for Organizations in 2025

1. AI Adoption Is Accelerating Across All Sectors

EXG2025 showcased how quickly artificial intelligence is moving from R&D environments into production workflows. From risk scoring and content analysis to operational efficiencies, AI is now central to digital transformation strategies.

The organizations finding the most success are those implementing AI with clear governance, strong oversight, and people-first design.

2. Automation Is Driving Efficiency, But People Still Lead

Automation tools are maturing, and this year’s conference highlighted how they are reducing friction and improving accuracy across credentialing, compliance, and testing ecosystems.

Importantly, EXG2025 reinforced that automation should support, not replace, human decision-making. Human oversight remains the anchor for any trustworthy system.

3. Cross-Team Collaboration Is a Competitive Advantage

A recurring message across sessions was that organizations succeed when technology, compliance, operations, and leadership collaborate from the start.

Integrated teams are delivering faster progress and better outcomes, especially when implementing new technologies like AI and advanced security models.

4. Real-World Demos Showed That Emerging Tech Is Solving Problems Today

This year’s demos and case studies were more mature and actionable than ever before. From secure credentialing workflows to AI-assisted analysis tools, EXG2025 demonstrated how emerging technologies are producing measurable results.

The shift from ideas to implementation was one of the strongest signals of the conference.

Why Responsible Innovation Matters in 2025

A core message throughout EXG2025 was that trust is the foundation of every digital system. Whether deploying AI, modernizing governance processes, or scaling automated workflows, successful organizations are those that prioritize:

• Transparency
• Ethical decision-making
• Clear governance frameworks
• Integrity in testing and credentialing
• Human-centered oversight

These values weren’t just mentioned; they were woven into every panel, workshop, and peer conversation. I must say that I was impressed with even fellow vendors talking about this across the board. It's great to see our peers are embracing this responsibility. 

Community, Collaboration, and Integrity: The Heart of EXG2025

Beyond the technical insights, EXG2025 highlighted the importance of community and collaboration. The connections, discussions, and shared problem-solving were as impactful as the sessions themselves.

At Integrity Advocate, our team continues to push forward with solutions that support responsible innovation, secure environments, and trust-centered digital governance.

EXG2025 set a clear direction for the year ahead and we’re excited to put these insights into action.

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A welfare economics class at Brown University took a take-home midterm this spring. The average score was 96 percent, well above the course's historical range of 65 to 80 percent. When the professor moved the final exam in person, the average dropped to 48.6 percent, a result he called a historic low for the course. Nineteen students ultimately failed.

That gap is the story. It is not really about one professor, one class, or one university. It is about what happens when an assessment has no layer of oversight between the moment a student submits an answer and the moment a grade gets issued.

What happened in the Brown University case

According to Inside Higher Ed, economics professor Roberto Serrano gave a take-home midterm for the first time in nearly two decades of teaching the course, largely to accommodate students who did not want to sit in a classroom exam after a shooting on campus in December. Enrollment in the class had also grown to 86 students, up from a typical 30, which he attributed to the promised take-home format.

When the midterm scores came back unusually high, he and his graders ran the exam through ChatGPT. Separate reporting from Fox News Digital puts a finer point on the scale of it: 40 students earned a perfect score on the midterm. The AI produced answers that closely resembled what his students had submitted, using a proof method that technically worked but read as unnatural for the level of the course. He told students he suspected widespread AI use and switched the final exam to an in-person, closed-book format. Eighteen students dropped the class outright, and nine more stayed enrolled but skipped the final exam entirely, meaning 27 students in total did not sit for it. Of those 27, 22 had scored a perfect 100 on the midterm. The final exam, taken by the 59 students who remained, averaged 48.6 percent, compared with a historical low of 65 percent for the course. The midterm was voided.

The university's response has been a point of dispute. As of the initial reporting on July 8, Serrano described the process as slow, saying Brown's Standing Committee on the Academic Code had not acknowledged evidence he first shared in late May. Serrano later wrote in an op-ed for The Free Press that he does not believe the university would have acted at all had his account not first been published by El Pais in late June and then picked up by Inside Higher Ed. Brown disputes that framing. In a statement reported by Fox News Digital on July 13, the university said its academic leaders had been in contact with Serrano as early as May, that he provided the documentation the Standing Committee needed on July 8, and that the committee is now moving the case forward under its normal procedures.

Whichever account of the timeline is more complete, the underlying pattern holds: resolving this case required a professor to independently investigate 86 exam responses, go public across three separate news outlets, and press the matter for roughly two months before a formal review process began in earnest.

Why this is a detection problem, not a discipline problem

It is worth separating two different failures here, because they call for different fixes.

The first failure was upstream. There was no oversight mechanism in place during the exam itself. A take-home format with unlimited time and no monitoring gives a student every opportunity to use an AI tool, and gives the institution no record of how the answer was actually produced. The professor's suspicion, however well founded, arrived only after the fact, based on score patterns and stylistic analysis he did personally.

The second failure is what happens next. Brown's own newly published committee report on generative AI in teaching and learning found that three-quarters of surveyed faculty are concerned about AI-enabled cheating, a figure that lines up with a 2025 national faculty survey from AAC&U and Elon University, which found that the large majority of faculty nationwide are worried about AI's effect on academic integrity and student learning. The Brown report recommends that the university avoid over-reliance on detection tools with known false-positive and false-negative rates, and that it move institutional codes toward addressing the specific mechanics of generative AI misuse rather than relying on generic academic dishonesty language.

Both of these are structural gaps. Neither is solved by asking one professor to build 86 individual cases from memory and suspicion after the semester has ended.

What a human-reviewed process would have looked like

This is where the distinction between automated and human-backed oversight actually matters, and it is worth being precise about it rather than making a sweeping claim.

An AI detection tool run after the fact, as the professor described doing informally with ChatGPT, can surface a pattern. It cannot make a defensible determination. Independent research on AI-detection accuracy backs this up: one analysis of 14 detection tools found false-positive rates as high as 50 percent and false-negative rates as high as 100 percent depending on the tool, with accuracy dropping further once AI-generated text was lightly edited or paraphrased. A tool like this has no way to distinguish a genuinely unusual but honest answer from an AI-assisted one, and it cannot document its reasoning in a way that holds up if a student challenges the finding, which is exactly the dispute now unfolding at Brown.

A proctored, human-reviewed exam changes the sequence entirely. Instead of a professor discovering an anomaly in aggregate score data weeks later, a trained reviewer looks at the flagged session at the time it happens, with the actual exam conditions in view, not just the output. That review becomes a documented record: what was flagged, who looked at it, and why a decision was made. When a result is challenged, whether by one student or by dozens at once, the institution has something concrete to point to instead of reconstructing intent from a grade curve.

This does not mean every exam needs to become high-stakes and adversarial. Brown's own committee is right that de-emphasizing punishment and building AI-aware academic codes matters too. But policy language only works if there is a way to apply it consistently and fairly at the point of assessment, not just after a problem has already reached this scale.

The scaling problem administrators are underestimating

The academic integrity director quoted in the article makes an important point: faculty are not compensated or incentivized to build cheating cases against dozens of students at once, and most institutions do not staff for it. That is a resourcing problem as much as a policy one. Tricia Bertram Gallant, who directs the Academic Integrity Office and Triton Testing Center at the University of California San Diego, made this point directly in the original reporting.

It is also precisely the moment where AI-assisted cheating changes the math. A single suspicious paper is manageable for a professor to investigate. Eighty-six unusually strong exam answers, submitted in an unmonitored take-home format, is not something any single instructor can reasonably adjudicate alone, especially without institutional support. Programs that rely entirely on faculty judgment after the fact, with no monitoring layer during the assessment itself, are the ones most exposed as AI tools become more capable and harder to detect through scoring patterns alone.

The takeaway for programs issuing results that need to hold up

Every program that issues a grade, a certificate, or a credential is implicitly telling the people who rely on that result that it means something. When an assessment has no oversight during the exam and no documented review process afterward, that claim becomes hard to defend the moment it is questioned, which is exactly what is playing out at Brown right now.

The fix is not more automation layered on top of automation. It is a human reviewer in the loop before a result is finalized, producing a record that can actually be defended. That is a different design decision than choosing a take-home format for convenience, and it is one institutions can make before their own version of this story runs in the news.

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A proctoring solution that integrates seamlessly with the platforms you already use, for simplicity and smoother workflows.

Integrity Advocate integrates natively with major LMS, certification platforms, and learning systems, including:

• D2L
• TopClass LMS
• Thought Industries
• uxpertise
• Moodle
• Coelrind
• TalentLMS
• AtomicJolt
• Canvas
• Totara
• Cirrus
• Vocal Meet
• SmarterU
• iLevel
• Isograd
• Momentum IT
• OpenLMS
• LearningCart
• StudyForge
• Healthcare Staffing Hire
• Gulf Coast Safety Council
• and other platforms

Because the integration is LTI-based, it works with your existing course structure, no rebuilding, reformatting, or duplicating content.

You activate proctoring where you need it, and your existing workflow stays exactly the same.

See a full list of our integrations

No Installs. No Plugins. No Added Steps.

Unlike legacy proctoring tools, Integrity Advocate runs entirely in the browser. That means:

• No downloads
• No browser extensions
• No permissions pop-ups
• No IT tickets
• No compatibility headaches

Exam takers simply click “Begin,” verify their identity, and take the assessment. Administrators access results directly within their LMS and review flagged activity with one click.

When proctoring feels effortless, participation increases, and support tickets drop dramatically.

A Seamless Experience for Learners and Administrators

Seamless integration isn’t just about technical compatibility; it’s about creating a consistent, intuitive experience for every user.

For Learners

✔ Familiar LMS environment
✔ Simple, no-install proctoring
✔ Device flexibility (including Chromebooks, tablets, mobile, laptops)
✔ No confusing redirects to external sites

For Administrators

✔ Same course layout, same workflow
✔ Easy activation per quiz or assessment
✔ Automated flagging and optional human review
✔ Audit-ready reporting directly in the LMS

Everything lives where your team already works.

Protecting Privacy While Simplifying Your Workflow

Many organizations assume proctoring tools create complexity, or require uncomfortable tradeoffs around learner privacy. Integrity Advocate proves they don’t have to.

Privacy-by-Design:

• No unnecessary data storage
• No invasive scanning
• Minimum data collection
• GDPR- and CCPA-aligned practices
• Only necessary evidence is captured
• Human review included for fairness and context

Learners get transparency. Admins get trustworthy, defensible results. Your organization gets compliance without added risk.

The Result: Secure Assessments Without the Overhead

Your LMS shouldn’t become harder to manage just because you need to protect exam integrity. With Integrity Advocate, security becomes an invisible part of your workflow, privacy stays fully intact, and proctoring seamlessly extends your existing assessment process rather than interrupting it.

See How Seamless Integration Works in Action

Want to see how Integrity Advocate plugs into your LMS in minutes? Schedule a demo with our team.

Secure, simple, privacy-first proctoring, already built to work where you work.

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In the era of remote learning and online credentialing, online exam proctoring must ensure test integrity, but it should also respect the people taking those exams. Too often, proctoring solutions swing too far toward surveillance, turning what should be a fair, secure process into an uncomfortable experience that feels invasive.

At Integrity Advocate, we believe there’s a better way. Our privacy-first proctoring approach is designed to protect integrity without intrusion, ensuring assessments remain credible, compliant, and human-centered.

Privacy by Design: From the Ground Up

Privacy isn’t an afterthought; it’s baked into every layer of our technology.

Integrity Advocate operates on a data-minimization model: we collect only what’s necessary to confirm identity and verify exam integrity, nothing more.

Unlike many proctoring platforms, we don’t store recordings by default, and we never use test-taker data to train AI models or for analytics beyond the scope of an assessment.

Our system is compliant with global privacy frameworks, including GDPR, PIPEDA, and FERPA, giving institutions and exam takers confidence that their data is handled ethically and securely.

No Downloads, No Device Control

Traditional proctoring tools often require software installs that grant deep access to personal computers, screen control, keystroke tracking, among other invasive practices.

Integrity Advocate takes a completely different approach. Our solution runs entirely in the browser, no downloads, no extensions, and no hidden permissions.

This means:

• No access to personal files or background apps
• No system takeovers or “remote eyes” on your device
• No need for test takers to perform awkward scans

It’s a lightweight, seamless setup that works on any modern device while preserving privacy and accessibility.

Human + AI Oversight: Fair, Not Fearful

AI is powerful, but context matters. That’s why Integrity Advocate uses a hybrid proctoring model, AI handles the heavy lifting of detecting potential issues (like multiple faces or device switching), while trained human reviewers provide the judgment and nuance that algorithms can’t.

We don’t use live proctors who “pop in” on test takers mid-exam. Instead, our reviewers assess potential flags after the session, ensuring normal, non-cheating behavior isn’t misread as a violation.

This hybrid model ensures accuracy without anxiety, maintaining exam integrity while respecting test-taker dignity.

Transparent, Defensible Results

Instead of long video recordings, administrators receive concise, context-rich summaries of any flagged activity. Each flag includes time stamps, screenshots, and reviewer note, giving decision-makers the information they need to take confident, defensible action.

This approach protects everyone involved, reducing false positives, simplifying audits, and maintaining transparency without compromising privacy.

No “Big Brother” Surveillance

Pop-in monitoring. Forced webcam scans. Mandatory software installs. These are hallmarks of the old way of proctoring, one that prioritizes control over trust.

Integrity Advocate rejects that approach. We believe secure testing environments don’t have to feel like surveillance. By combining smart automation, human oversight, and privacy-by-design principles, we deliver integrity without intrusion; ensuring a calm, fair, and respectful testing experience for every exam taker.

The Future of Testing Is Human

As remote and hybrid testing continue to expand, institutions face a choice: maintain integrity through invasive monitoring, or adopt technology that balances security with humanity. At Integrity Advocate, we’ve made our choice clear, privacy isn’t a compromise, it’s a commitment.

Because integrity means more than preventing cheating. It means respecting the people behind every test.

Interested in learning how Integrity Advocate can help your organization maintain exam integrity, without compromising privacy?

Schedule a Demo

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The 2025 COTS Conference brought together a diverse mix of professionals from higher education, certification organizations, legal experts, and technology vendors all united around a shared challenge: maintaining the integrity of assessments in an increasingly digital and AI-driven world.

The Growing Focus on Exam Security and Validity

Across both higher education and professional certification sectors, one theme dominated the conversation; security and validity are non-negotiable. Institutions are doubling down on technologies and practices that ensure every test taker is who they say they are and that the results accurately reflect their own work. With remote and hybrid testing becoming the norm, maintaining that integrity has never been more critical, or more complex.

The Legal Landscape Is Changing

A recurring topic throughout the conference was the legal ramifications of exam misconduct. When test takers are caught cheating or engaging in fraudulent behavior, the response can’t be improvised. Organizations need clear, documented legal frameworks to protect themselves and their brands.

With the rise in reported cheating incidents comes an increase in interactions with test takers around alleged violations some of which escalate into accusations, libel, or civil disputes. The consensus: it’s essential to plan ahead, not react after the fact.

Artificial Intelligence: Promise and Pitfalls

AI was everywhere at COTS. While some vendors and institutions are embracing AI in a responsible and transparent way, others are less rigorous about the ethical guardrails they apply. The takeaway? Not all AI tools are created equal.

Decision-makers must ask tough questions, vet vendors carefully, and understand how AI is being used especially when it impacts privacy, proctoring, and identity verification. Blind trust in “smart” systems can lead to unintended consequences.

The Balancing Act: Security vs. Privacy

Perhaps the most nuanced discussions centered on finding the right balance between test security and user privacy. With test takers increasingly sensitive to how their data is collected and used, organizations are being challenged to uphold both integrity and privacy, without compromise. It’s not an either/or decision; the future of assessment requires innovative solutions that respect both principles.

A Conference of Thought Leaders

COTS continues to position itself as a true thought leadership event. Every session was rich with real-world examples, backed by data, and framed within professional and legal contexts. The mix of participants, from educators to legal professionals to technology providers, created a vibrant ecosystem of perspectives, debate, and shared problem-solving.

Final Thoughts

The future of testing isn’t just about better technology; it’s about smarter, more ethical implementation. The conversations at COTS made it clear: the organizations that thrive will be those that treat integrity as both a value and a strategy. As AI reshapes the landscape and legal accountability intensifies, preparation, transparency, and ethics will define the leaders in this space.

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