Show notes
AI is changing hiring in ways that go far beyond candidates using ChatGPT to answer interview questions. The harder problem is knowing whether the person on screen is actually who they claim to be, whether their answers are their own, and what happens if someone with malicious intent gets access to company systems.Yagub Rahimov, CEO and founder of Polygraf AI, joins The Tech Trek to discuss the growing trust problem surrounding AI assisted interviews, deepfakes, impersonation, and security. He explains why organizations need more visibility into the hiring process without turning every unusual behavior, accent, or response into a reason for suspicion.What You’ll Take Away• AI interview fraud is not simply a recruiting problem. Once someone enters the company, identity and access become security concerns.• Detecting suspicious candidates based on human intuition alone can create false positives. Rahimov argues for using technology to create evidence and visibility.• Small pieces of public information can reveal far more about a company than leaders realize when they are combined through what Rahimov calls mosaic intelligence.• Protecting company information means thinking beyond traditional security controls to what employees, executives, and systems expose publicly.Key Moments02:27 How AI tools can turn legitimate technology into an interview cheating mechanism05:35 Why hiring fraud can become a security and data access problem07:43 Using voice, conversation context, and AI detection to improve visibility during interviews11:43 Why increased AI uncertainty should not lead companies to distrust everyone14:28 What organizations should think about after a candidate actually gets hired19:40 The continuing race between increasingly capable deepfakes and detection technologyOne Line That Stuck“Tech problems have tech solutions.”Follow The Tech Trek for more conversations about AI, engineering, data, product, and how technical teams are adapting.
