Talview Podcast

In this closing session, we reflect on the key insights from the summit and the industry's shift from reactive exam security to proactive integrity management. The discussion highlights why collaboration, shared intelligence, and program-wide risk management will be essential to protecting trust in assessments in the age of AI.

Panel details:

1. Sanjoe Jose (Talview)

In this podcast, you will explore why exam integrity can no longer be measured by a single testing session alone. The discussion examines how sophisticated cheating networks operate across multiple candidates, exams, devices, locations, and programs, often leaving few traces within an individual assessment.

The panel unpacks the shift from session-level monitoring to program-wide intelligence, highlighting the role of data forensics, pattern recognition, cross-session analysis, and ecosystem-wide signals in identifying organized misconduct. You will also hear why a clean proctoring session does not always guarantee a secure credential.

Beyond detection, the conversation tackles the ethical challenges of large-scale assessment intelligence, including privacy, transparency, candidate dignity, human accountability, and responsible data use. It is a thoughtful discussion on how the industry can strengthen trust in credentials while balancing security with fairness.

Panel details:

1. Paul Muir (risr/)
2. Liberty Munson (Microsoft)
3. Isabelle Gonthier (PSI & ETS)
4. Rajeev Menon (AI DOME)

In this podcast episode, you will hear how leading assessment organizations are responding to the realities of AI-enabled cheating with practical, field-tested strategies. The discussion explores what is actually working today across certification programs, public sector hiring assessments, and global exam delivery operations.

The panel shares real-world approaches to content protection, item banking, adaptive testing, live proctoring, AI-assisted monitoring, and post-exam forensic analysis. You will also hear how organizations are balancing exam security with candidate experience, regulatory compliance, and fairness.

From detecting content harvesting and impersonation attempts to building human-in-the-loop review processes, this session offers a candid look at the operational playbooks institutions are deploying right now to protect assessment integrity.

Panel details:

1. Claire McCauley (Cambridge University Press & Assessment)
2. Scott DeWolfe (San Francisco Department of Public Health)
3. Laurent Goldsztejn (dbt Labs)
4. Ashwin Arun (Talview)

In this podcast episode, you will hear how exam cheating has moved beyond simple tool-assisted misuse into autonomous, agent-driven attacks.

The panel breaks down what orchestrated cheating actually looks like, from unusual timing patterns to behavioral mismatches and multi-candidate signals.

You will also hear which current controls are proving most vulnerable, including lockdown browsers and traditional one-camera proctoring.

The discussion closes with what the next layer of defense should look like, from real-time data forensics to more dynamic assessment design.

This is a sharp, practical conversation on what is already happening now and what exam programs need to prepare for next.

Panel details:

1. Rory McCorkle (Strasz Assessment Systems)
2. Charles Mayenga (Fitch Learning)
3. Steve Kazin (Talview)

In this keynote, you will explore why exam security failures often occur in the gaps between systems rather than within the exam itself. As Agentic AI and orchestrated cheating become more sophisticated, traditional security approaches are struggling to keep pace.

The session examines key challenges, including signal overload, limited cross-session intelligence, and fragmented risk management. It also presents a forward-looking AIOP framework for moving from detection to prediction and prevention, helping organizations strengthen trust, integrity, and credibility across the assessment lifecycle.

Panel details:

1. Sanjoe Jose (Talview)

Leave with more than insights — leave with a personal commitment to clean, verified, trustworthy hiring.

Key speaker:

• Sanjoe Tom Jose (CEO at Talview)

The frameworks, tools, and cultural shifts that forward-thinking organizations are using to build fraud-resistant hiring from day one.

Panel speakers:

• Praveen Srivastava (Global Head of Talent Acquisition at HCLTech)
• Devender Kumar (Chief Information Security Officer (CISO) at Persistent Systems)
• Harish Bhatia (Senior Partner & India Head at Korn Ferry RPO)
• Sunu Philip (Director - Customer Success at Talview)

Straight talk from the people in the trenches — the patterns, red flags, and hard lessons IT hiring leaders aren't talking about publicly. Until now.

Panel speakers:

• Dr. Sumukh SG (Global Talent Acquisition Program Leader at Tekion Corp)
• Ashok Vira (Global CIO Lead for HR Platforms at Accenture)
• Anupam Srivastava (Global Head – Human Resource | Talent Acquisition at Reltio)
• Prateek Sharma (Regional Sales Manager)

Ghost engineers. Identity fraud. AI-generated candidates. A clear-eyed look at how bad it's gotten — and why traditional screening is no longer enough.

Panel Speakers

• Patrick Dunlop (Professor at Curtin University)
• Andrew Stark (CEO Africa at TeckChek)
• Sayan Gupta (Lead Product Manager at Talview)

Why hiring integrity is no longer an HR problem — it's a business risk that starts at the top.

Key speaker:

• Sanjoe Tom Jose (CEO at Talview)