Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Lithic powers the infrastructure behind modern card issuing - S3E13

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.

Lithic powers the infrastructure behind modern card issuing - S3E13

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.

Why Persona recommends native mobile identity verification flows

Fraudsters are adaptive actors who follow the path of least resistance. The goal of fraud-fighting teams is often to make the cost of fraud high enough that attackers go elsewhere. Leveraging Persona’s Mobile SDK raises fraudsters’ costs by requiring identity verification to happen in signal-rich mobile environments. For years, fraud fighters have layered verification checks and risk signals to detect various types of attacks.

Candidate verification: Stop fraud before it enters your workforce

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.

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.

What is CEN/TS 18099? A guide to the injection attack detection standard

For years, the dominant threat against remote identity verification was the presentation attack: someone holding a printed photo up to a camera, wearing a mask, or playing a pre-recorded video on a phone screen. The industry responded with increasingly sophisticated anti-spoofing technology and vision-based detection models, and the standards to test their effectiveness followed. But many of today’s most sophisticated fraudsters don’t bother with the camera at all.

Introducing Code-First: Ship identity flows the same way you ship everything else

If you're shipping software these days, there's a good chance an agent is in your development workflow. In fact, 84% of software developers say they use AI to write code, open pull requests, and push to production regularly; that number is only expected to grow. Some teams have gone further: they're designing loops, or recurring systems that direct agents continuously, without a human writing a new prompt at each step.

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.

Persona's Sentinel helps you assess risk at every moment

You've built rigorous identity verification flows. You're running liveness detection, document checks, and behavioral analysis. And when users make it through, you rightfully clear them as trusted. But when users aren’t in a verification flow, you lose insight into the device, network, and behavioral signals that could flag a major risk. Sentinel extends passive signal collection to any moment in the user's life cycle.