Overview

Persistent Systems is a global services and solutions company delivering AI-led, platform-driven digital engineering and enterprise modernization to businesses across industries. Its hiring engine spans thousands of interviews annually across geographies and skill lines, making trust in every interview a business-critical requirement rather than a procedural formality.

As remote hiring scaled, Persistent Systems needed a way to detect impersonation, off-camera coaching, and AI-assisted cheating at the moment they occur, not after a hiring decision had already been made. This need for a systematic, repeatable answer to interview integrity led Persistent Systems to select Talview as its implementation partner.

Challenge

Remote interviewing delivers flexibility and scale, but it also changes how organizations establish trust during the hiring process.

Unlike in-person interviews, recruiters and hiring managers have limited visibility into a candidate's physical environment. Sophisticated forms of interview fraud, including hidden collaborators, AI-assisted prompting, concealed devices, and candidate impersonation, can occur without obvious indicators. In many cases, these activities remain undetected until after hiring decisions have been made.

Traditional approaches also present operational limitations. Post-interview investigations rely heavily on manual evidence review and often occur after hiring decisions have progressed. This reactive model limits the organization's ability to intervene at the point where fraud is actually taking place.

Persistent Systems therefore needed an approach that would:

• Detect suspicious behavior during live interviews rather than afterwards
• Empower interviewers to investigate concerns without disrupting legitimate candidates
• Integrate naturally into existing interviewing workflows
• Support consistent governance across interview teams
• Strengthen confidence in hiring decisions while maintaining operational efficiency

The objective was not simply to identify isolated fraud incidents but to establish interview integrity as an embedded capability across the recruitment process.

Solution

Working with Talview, Persistent Systems activated Secondary Camera on Interview Rooms. The capability lets an interviewer request a live second-device view of a candidate's environment during the interview itself, shifting detection from a forensic, after-the-fact exercise to a real-time one, controlled by the person best placed to notice something wrong.

Operationalizing the capability combined interviewer enablement with platform automation:

• Interviewers were trained to recognize the cues that warrant activation: unexpected hesitation, audio anomalies, visible shadows, and behavioral inconsistencies.
  
  
• The platform surfaces automated alerts for multiple simultaneous microphone connections, a reliable technical signal of a hidden earpiece or coaching device.
  
  
• Every activation is logged with its evidence, so a fraud finding is backed by a record the hiring team can review and defend.
  
  
• Human oversight is preserved throughout. The platform surfaces signals. The interviewer decides whether and when to act. The feature engages only on demand, so legitimate candidates experience no added friction.
  
  
• Candidates are notified that secondary camera verification may be requested, in line with Persistent Systems' candidate privacy policy.

The result is a governance model in which interview integrity is embedded into every interview as standing infrastructure, rather than applied as a one-off check.

Results 

• 78 interviews incorporated real-time Secondary Camera verification as part of the interview integrity process.
  
  
• 40 interviewers operationalized the capability across hiring workflows, supporting consistent adoption at scale.
  
  
• In 18 of those 78 interviews, fraud was confirmed. Because interviewers activate the camera only when they have already seen a cue, this rate reflects the accuracy of interviewer judgment on flagged interviews. It is not a rate of fraud across Persistent Systems' candidate pool, and it is not a Talview detection rate.
  
  
• Real-time detection let interviewers identify sophisticated fraud techniques, including hidden third-party assistance, concealed devices, and AI-assisted coaching, before candidates progressed through the hiring process.

Conclusion 

Persistent Systems' partnership with Talview shows how a high-volume global hiring engine can build interview integrity into its live workflow without adding friction for genuine candidates. With Talview as the security layer for its interviews, Secondary Camera on Interview Rooms lets interviewers see who is actually in the room and what is happening around the candidate, and leaves a record behind, before a hiring decision moves forward. The platform surfaces the signals. The interviewer makes the call. That gives Persistent Systems evidence-based confidence in its hiring decisions.

As remote hiring grows and candidate tooling becomes more sophisticated, Persistent Systems has the foundation to scale interview integrity across its teams.

If you are protecting your own remote interviews, book a demo to see how Talview fits into your workflow.