Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this episode, we're excited to introduce Robin Gandhi, Chief Product Officer at Lithic, the programmable card issuing and processing infrastructure for developers, digital banks, and financial institutions handling billions in annual volume. Robin brings over a decade of deep fintech expertise across product, partnerships, and global operations. Before joining Lithic, he served as CPO at Nium, defining payment strategy across 190+ countries, and held leadership roles at Navan (formerly TripActions) and Adyen, where he scaled global issuing and North American partnerships.

Sophisticated fraudsters are now targeting the recruiting process. Whether it's a "fake" candidate built on synthetic data, an interviewee hiding behind a deepfake, or a candidate getting a friend to take their technical test, hiring teams are facing a fraud crisis.

Sophisticated fraudsters scale systems to increase their ROI. But it’s also a weakness that you can exploit to shut down fraud rings and keep attacks from scaling. In this discussion, fraud experts Nisreen Hussain, Irfan Faizullabhoy, and Ashley Fang show off how pattern and link analysis stop AI-powered fraud, account takeovers, and large fraud rings.

We're starting to see the pendulum swing as customers ask us about detecting fraud that doesn't involve GenAI.

Over 100 behavioral and technical risk signals can be captured in every verification. But knowing which ones to use and combine can be difficult. In this webinar, three fraud and identity practitioners break down how to stack signals to catch synthetic IDs and GenAI-driven fraud without blocking legitimate users.

Academic fraud datasets often lack real-world grounding and miss insights that you can only glean from defending against ongoing adversarial attacks. Just ask Zhaofeng Si, a PhD student in computer science at the University at Buffalo who studies the detection of AI-generated synthetic images. Three weeks ago, he joined Persona for a 12-week internship. Now, he’s working alongside Persona’s research scientists to build a benchmark for selfie fraud.

Sophisticated fraudsters optimize and scale their systems to grow ROI. That's also a weakness you can exploit to shut down fraud rings before attacks scale. Fraud experts Nisreen Hussain, Irfan Faizullabhoy, and Ashley Fang show how pattern and link analysis stops AI-powered fraud, account takeovers, and large fraud rings. In the full webinar.

CVPR 2026 paper overview with research scientist Daniel George, a coauthor of “From Measurement to Mitigation: Quantifying and Reducing Identity Leakage in Image Representation Encoders with Linear Subspace Removal." He discusses some of Persona’s recent research efforts, embeddings, and the paper’s focus. The paper was accepted to the Conference on Computer Vision and Pattern Recognition (CVPR) 2026, a premier conference in computer vision and machine learning.

In this episode, we're excited to introduce Batu Inal, Co-Founder and CTO of Balance, an intelligent treasury platform revolutionizing how enterprises optimize their cash management. Balance provides real-time visibility into cash across all accounts, AI-powered forecasting, and automated insights to help businesses work their money harder. With $50B+ in transactions processed and $2B+ in accounts monitored, the platform serves established organizations including large enterprise businesses.