FRAUD SIGNALS: AI, JOB CANDIDATES & THE CYBERSECURITY OF RECRUITMENT The rise of AI and AI Agents will fundamentally change the way in which we discover information. We are heading into a future which will everything digital will be mediated first by AI. This has huge implications in many aspects of professional work, with job search and hiring perhaps being one of the first areas of work where early challenges might be detected. Let's talk AI, job candidates and the cybersecurity of recruitment. - What are the most risky things which recruiters do which expose company to fraud risk? - Should recruiters download documents which are speculatively sent in? - How to process candidates if document is not a PDF? - What are the main signals of potential ID fraud? - IP address inconsistencies - LinkedIn profile recency - LinkedIn profile incompleteness - Inconsistencies on online profile aggregation - Time delay during interview - Camera off/on during interview - Implications for DEIB - Which jobs are most at risk for fraud? - Which companies, in which countries are most regular targets for fraud? - Implications for bias / racial profiling - How to be rigorous yet also fair - the challenge of CX in the era of high cybersecurity risk We are on Tuesday 2nd October, 10am / 3pm BST follow the channel here (recommended) and save your spot for this demo by clicking on the green button. Ep337 is sponsored by our friends Greenhouse Hiring is hard, and getting it right is even harder. It’s a core business-building function with high stakes that takes a lot of moving parts to see real success. You need workflows that accommodate how you function given your company size and goals. You need a user experience that hiring managers actually buy into. And you need an application process that locks talent in. Only Greenhouse gives you all that in one platform. Learn more

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