Today Kevin and Laura chat with Bala Muthiah, Director of Engineering at Lyft, to talk about what leadership looks like when your product moves real people through the real world. Bala walks through his path from immigrating to the U.S. to leading teams that make real time decisions for millions of riders and drivers, and how those early experiences shaped his views on power, responsibility, and trust in technology.

We talk about what privacy and safety actually mean at Lyft’s scale, where data is not abstract and mistakes have real consequences. Bala is candid about where rideshare platforms have improved, where the industry still struggles, and how leaders decide where to draw hard lines around data use even when the tech makes more possible. The conversation also gets into the human side of engineering. How do you push for speed and performance while building teams that care about ethics, psychological safety, and consent? Bala shares how Lyft uses AI to surface collaboration risks, why that can feel uncomfortable, and how transparency and boundaries matter just as much as capability.

Bala Muthiah is the Director of Engineering at Lyft, where he leads teams that power real‑time decision systems for millions of users. An immigrant from India turned Silicon Valley leader, he’s also a startup advisor, nonprofit board member, and mentor across multiple platforms. Bala blends technical expertise with people‑first leadership and community impact—showing how to scale teams, startups, and even personal growth with empathy, innovation, and AI.

This week, we sit down with Al Pascual, CEO and founder of Scamnetic, to talk about fraud from the inside out. Al didn’t come up through product or engineering. He started his career chasing real fraud cases, shaped early on by parents who were cops and a first job in a bank fraud department. That hands-on experience is what pushed him from treating fraud as “just a job” to seeing it as his lane.

We get into the scam patterns that worry him most right now, including pig butchering and sextortion schemes that still aren’t getting enough mainstream attention. Al makes a clear case that fraud isn’t primarily a data or tooling problem. It’s a human one. Psychology, pressure, shame, and timing matter more than most defenses want to admit. When a big fraud story hits the news, he explains how coverage often misses the point by focusing on the tech and ignoring the manipulation. Al shares one of the strangest cases he’s worked, and what it taught him about how creative and absurd fraudsters can be. We also tackle the reality of AI-enabled scams, including voice cloning. How common is it really, and who’s actually at risk? Kevin is skeptical he’d fall for it, while Laura shares a story about a friend losing $500 to a gift card scam, a reminder that real people get caught all the time. This one is a grounded, sometimes funny, and occasionally unsettling look at how fraud really works, and why understanding people matters as much as understanding systems.

A recognized expert on cybercrime, Al Pascual is the CEO and Founder of Scamnetic. Scamnetic is a software solution for scam detection and protection that uses AI to analyze incoming communications in real time and flag or score risk before someone falls for a scam. A successful technology entrepreneur and a former managing executive of Javelin Strategy & Research, Al has spent his career laser-focused on protecting consumers and organizations from financially motivated crimes. His past research on consumer identity theft has been cited by hundreds of media outlets and presented at conferences around the world. Al cut his teeth fighting fraudsters at HSBC, Goldman Sachs, and FIS, where during his time as an investigator, his work resulted in the arrest of more than four hundred suspects.

This week on That Tech Pod, Laura and Kevin chat with Richa Kaul, founder and CEO of Complyance, for a blunt conversation about what governance, risk, and compliance actually are, and why so many companies pretend it’s something else.

Richa walks us through how she really landed in GRC, including the moment she realized compliance isn’t about forms or frameworks. It’s about power, incentives, and who takes the fall when systems fail. Drawing on her time in legal tech, enterprise systems, and AI, she makes the case that much of today’s compliance model is quietly broken, and that organizations know it, even if they won’t admit it. We dig into why GRC has such a credibility problem, the comforting lies companies tell themselves about being “compliant,” and whether compliance should be about control or trust, and why so many leaders default to the wrong one. Richa also weighs in on whether “move fast and break things” is actually gone, or just better disguised in the age of AI. We close with a forward-looking conversation on AI risk, including the uncomfortable questions boards avoid, why training alone won’t fix reckless AI use, and what organizations should be paying attention to next if they want governance that actually works.

Richa Kaul is the founder and CEO of Complyance, an AI-powered GRC platform helping enterprises navigate governance, risk, and compliance with ease. She previously held leadership roles in legal and compliance technology, including helping scale global solutions at ContractPodAI. Richa focuses on how companies can move beyond checkbox compliance to build systems that actually support better decisions, accountability, and trust as AI becomes more embedded in the enterprise. She is passionate about the future of compliance, the role of AI in governance, and the challenges of scaling a company in enterprise tech. Her innovative approach combines deep technical expertise with strategic business acumen, making her a sought-after thought leader in the GRC space.