Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

New pattern analysis techniques to defend against fraud

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.

Using 100+ Signals to Capture 100M Fraudsters

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.

GenAI fraud detection in academia vs industry

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.

Stop AI-powered fraud rings with link analysis

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.

How visual embeddings leak identity and how to fix it

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.

Making cash management smarter with AI-powered insights from Balance - S2E11

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.

Simplifying how businesses pay creators and contractors worldwide with Trolley - S2E10

In this episode, we're excited to introduce Barnett Klane, VP of Product at Trolley, the leading payouts platform powering the internet economy. Trolley enables businesses to automate global payments to creators, freelancers, and contractors across 210+ countries and territories, serving major companies. Barnett previously founded MyManual and held product roles at Bugcrowd, bringing deep expertise in building products at the intersection of payments, compliance, and creator platforms.

Dinari bridges traditional markets and digital assets - S2E09

In this episode, we're excited to introduce Brandon Ooi, the COO of Dinari, a fintech innovator making compliant tokenized securities accessible to investors. Brandon co-founded Crunchyroll as its CTO and worked at Stripe as an engineer specializing in marketplace enterprises, bringing deep technical expertise and product leadership to the intersection of traditional finance and blockchain technology. Join us as we explore Brandon's journey from building beloved consumer platforms to pioneering the future of securities trading, and how Dinari is bridging the gap between traditional markets and digital assets.