In this closing session, you will explore why point solutions like isolated resume checks or background verifications fail to protect modern enterprises from sophisticated recruitment fraud. Reflecting on insights from across the summit, the discussion highlights the alarming reality of hundreds of global organizations unknowingly hiring fraudulent operators using stolen identities and deepfakes. Because fraud moves dynamically across the hiring funnel, true security requires a unified, continuous signal that verifies identity end-to-end. Discover how the AI AEGIS initiative aims to transform these best practices into an industry-wide portable standard for candidate trust. 

Panel details: 

Sanjoe Tom Jose (Talview)

In this session, you will explore how virtual recruitment has transformed technical hiring into a complex threat surface where bad actors leverage AI earpieces, screen mirroring, and parallel devices to fake knowledge. The panel examines the severe organizational repercussions of these malpractices, including client SLA breaches, repeated hiring costs, and critical insider threats to data security. Discover why generic technical assessments fall short and how evaluating real-time troubleshooting scenarios effectively filters out dishonest applicants. Finally, learn about a robust "hire till initial engagement" framework that incorporates national ID verification, continuous facial recognition, and post-onboarding performance tracking. 

Panel details:

Prabhanjan Prasoon (Birlasoft)
Yogesh Luthra (Atain)
Varun Khanna (Talview)

In this session, you will explore why hiring integrity in the highly regulated BFSI sector carries massive legal, operational, and systemic consequences. The panel examines the real-world dilemmas leaders face on the ground, from managing high-volume screening for specialized tech roles to making tough calls on senior executives under pressure. Discover why viewing a resume as an underwritten risk and empowering recruiters as your first line of defense are critical to managing risk in mass recruitment. The discussion highlights the delicate balance between urgency and security, showcasing how proctoring technology and flexible check criteria can protect an organization's compliance. Tune in to learn how industry frontrunners are navigating these complex trade-offs to build a real-time playbook for zero-tolerance hiring integrity.

Panel details:

Samaksh G
Shabeer Ahemed Sathar (KVB Bank)
Ritu Arora (Canara HSBC Life Insurance)
Sunu Philip (Talview)

In this session, you will explore why local hiring decisions at Global Capability Centres (GCCs) carry massive global security risks for enterprises. As remote recruitment faces a surge in sophisticated threats like deepfakes, proxy candidates, and live AI cheating, a single fraudulent hire can expose a company's core global infrastructure from day one. The panel examines the true cost of this threat, from devastating timelines and contaminated data to severe reputational damage. They also discuss why overcorrecting with tedious manual checks slows down hiring and drives away top talent. Finally, discover how to fight AI with AI using real-time proctoring agents to secure your pipeline without sacrificing speed. 

Panel details:

Diwakar A (Dassault Systèmes)

Ahmad Maredia (Workday)

Jayas Damodaran (Talview)

In this keynote, you will explore how candidate fraud has shifted from an artisanal craft into an automated assembly-line threat powered by AI and deepfakes. The session examines how remote hiring has turned recruitment into a dangerous security threat surface, especially within the tech-savvy Indian market. Discover how bad actors leverage AI teleprompters and synthetic faces to manipulate interviews and exploit global organizational infrastructure. Finally, learn about a vital five-step integrity baseline and Talview’s unified dashboard designed to move companies from siloed detection to end-to-end risk management. Tune in to find out how you can close these critical gaps and secure your hiring funnel from application to onboarding. 

Panel details:
Sanjoe Tom Jose (Talview)

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)