Rigovo is an AI-powered technical interview platform. Maya AI conducts adaptive technical interviews via voice while the Sentinel engine runs 15-signal verification to confirm candidate identity, engagement, and technical depth. Every interview produces an evidence report with integrity scores, skill assessments, and job success predictions. Try 5 interviews free at rigovo.com.

Does Rigovo block AI tools during interviews?

No. Rigovo welcomes AI tool usage during interviews. In an AI-native era, the question is not whether candidates use AI — it is whether they understand and lead with it. Rigovo measures AI Collaboration Depth: can the candidate explain their reasoning, make architectural trade-offs, and demonstrate genuine comprehension? This distinguishes AI Leaders from AI Passengers.

How is Rigovo different from HireVue or Codility?

HireVue records and analyzes video interviews conducted by humans. Codility provides coding assessments. Rigovo conducts the entire technical interview autonomously via Maya AI while simultaneously running 15-signal verification. It is an AI interviewer plus verification engine in one platform — not a recording tool or a test platform.

What is AI Collaboration Depth?

AI Collaboration Depth is Rigovo's measure of how candidates work with AI tools. An AI Leader uses tools effectively, explains every decision, and makes independent trade-off choices. An AI Passenger relies on AI-generated outputs but struggles to explain reasoning. Rigovo measures this distinction through behavioral signals during the live interview.

How does Rigovo verify candidate identity?

Rigovo uses 15-signal verification covering identity, engagement, and technical depth continuously throughout the interview. The system confirms the person being interviewed is consistent from start to finish — so you know the person you interview is the person you hire.

Is Rigovo a proctoring tool?

No. Proctoring tools passively monitor interviews conducted by humans. Rigovo actively conducts adaptive technical interviews through Maya AI and generates evidence-based hiring recommendations. It is an AI interviewer that produces verified hiring intelligence, not a surveillance tool.

How much does Rigovo cost?

Rigovo offers a free Pilot Pack with 5 interviews including full 15-signal verification. Starter plan is $0.35 per minute (pay-as-you-go). Engine plan is $249 per month for unlimited interviews. Fortress plan is custom enterprise pricing with SSO and dedicated infrastructure. All plans include the full verification engine.

Is Rigovo suitable for enterprise technical hiring?

Yes. Rigovo is designed for enterprise-scale technical hiring with SOC 2 aligned security, GDPR compliance, legally-defensible audit trails, and high-volume recruitment automation with consistent quality standards.

What is the difference between Rigovo and Talently.ai?

Rigovo and Talently.ai are different products from different companies. Rigovo provides 15-signal verification and AI Collaboration Depth measurement that Talently.ai does not offer. Rigovo verifies the person behind the screen — not just their answers — through continuous multi-signal verification.

Can I try Rigovo for free?

Yes. Rigovo offers a free Pilot Pack that includes 5 technical interviews with full 15-signal verification, evidence reports, and job success predictions. No credit card is required. You can start a free pilot at rigovo.com or try a live Maya demo at platform.rigovo.com/demo.

Interview Integrity Verification: Complete Guide for 2026

The Scale of the Challenge

In our beta analysis of 82 interviews, 41% of candidates generated at least one integrity signal requiring deeper evidence. This isn't about surveillance—it's about ensuring you have evidence to trust who you're hiring.

Remote hiring changed everything. When interviews moved from conference rooms to Zoom calls, the verification gap widened dramatically. Today, there are entire services that will take interviews on someone's behalf for $500-2000.

The rise of AI made verification harder. ChatGPT can answer most technical questions. GitHub Copilot can solve coding challenges. Voice cloning is getting cheaper. Without integrity evidence, you're guessing.

If you're still interviewing without an evidence layer, you're flying blind.

4 Verification Challenges

Proxy Interviewing

Someone else takes the interview on behalf of the candidate

12% of remote interviews

AI Assistance

Using ChatGPT, Copilot, or other AI tools during the interview

20%+ of candidates

Deepfake Technology

Real-time face/voice manipulation to impersonate someone else

Emerging threat

Hidden Notes/Prompts

Reading from prepared answers or having someone feed answers

Common

How to Build Evidence for Each

Detecting Proxy Interviews

Proxy interviewing is when someone else takes the interview on behalf of the actual candidate. This is surprisingly common—especially for high-paying remote engineering roles.

Continuous Speaker Verification

Verify the speaker's identity at the start of the interview and continuously throughout the session. If the person changes, the system flags it immediately.

Face Liveness Detection

Challenge-response verification ensures you're talking to a real person, not a photo or pre-recorded video.

ID Verification

Match the person on camera to a government ID at the start of the interview. This simple step catches most proxy attempts.

Detecting AI Collaboration Patterns

With ChatGPT, Claude, and Copilot readily available, candidates can get real-time help during interviews. Here's how to build evidence of authentic understanding:

Screen Sharing Analysis

Require screen sharing and use OCR to detect AI tool interfaces, suspicious browser tabs, or hidden windows.

Response Timing Analysis

AI-assisted answers often have unnatural timing patterns—too fast (copy-paste) or too consistent (reading generated text).

Attention Analysis

Behavioral signals can indicate when a candidate is consistently referencing off-screen sources rather than thinking through problems.

Adaptive Follow-ups

Ask unexpected follow-up questions that require genuine understanding. AI-assisted candidates often struggle with "why" and "what if" variations.

Detecting Deepfakes

Deepfake technology is advancing rapidly. While still relatively rare in interviews, it's a growing threat—especially for senior roles.

Deepfake Detection

Current deepfakes have subtle inconsistencies that automated systems can detect. Multi-signal analysis catches attempts that humans miss.

Audio Artifact Detection

Synthetic audio has telltale signs: unusual spectral patterns, missing room acoustics, and codec artifacts.

Challenge-Response Tests

Ask the candidate to perform unexpected actions (turn head, show hands, adjust lighting). Real-time deepfakes struggle with novel requests.

5 Steps You Can Take Today

Require Camera-On for All Interviews

This seems obvious, but some companies still don't enforce it. No video = no way to verify identity.

Add ID Verification at Interview Start

Ask candidates to hold up a government ID. Compare the photo to the person on screen. Takes 30 seconds, catches most proxy attempts.

Require Full Screen Sharing

Not just the browser—the entire screen. This makes it much harder to hide AI tools or second monitors.

Ask Adaptive Follow-Up Questions

Don't just accept the first answer. Ask "Why?" and "What if we changed X?" Genuine candidates can explain their reasoning.

Record and Review

Record interviews (with consent) and have a second person review. Fresh eyes often catch things the live interviewer missed.

The Automated Approach

Manual verification works for low-volume hiring. But if you're screening dozens of candidates, you need automation.

Rigovo documents 15 proprietary signals simultaneously during every interview — covering identity verification, behavioral analysis, and technical integrity. Our beta analyzed 6,824 signal events across 82 interviews.

41% of candidates generated deeper integrity evidence
Real-time evidence capture, not post-hoc analysis
Integrity evidence audit trail for compliance

The Bottom Line

Verification gaps aren't going away. As remote work becomes permanent and AI tools become ubiquitous, the need for integrity evidence will only grow.

The companies that build evidence into their hiring processes—whether through manual verification steps or automated integrity layers—will make better hires and avoid costly mistakes.

The companies that pretend the problem doesn't exist will learn the hard way.

Building Interview Integrity in 2026