Fraud expert Anna Prince-Palmer reveals the psychological tactics that separate successful fraud fighters from those who constantly play defense. With 15 years of experience spanning law enforcement and tech, she breaks down why understanding criminal behavior is your most powerful weapon.

Anna explains why fraudsters are more motivated than you are - their survival often depends on success while you clock out at 5pm. She demonstrates how to think like an attacker by asking "how would I get this product if I had no money" and shares real examples of spinning up test accounts to find vulnerabilities before bad actors do.

The conversation tackles the dangerous phrase "acceptable risk" and why it signals weak defenses. When you leave small gaps open, fraudsters find them, exploit them, and share techniques with entire networks. Anna and the community discuss honey pot strategies, reseller fraud schemes, and the ego-driven nature of cybercriminals who can't resist bragging about their methods online.

Key insights include translating fraud concerns into business language that marketing and product teams understand, using fraud incidents as momentum for systemic changes, and building cross-functional relationships that prevent fraud from being siloed in the basement.

Key topics covered:

[00:00] Intro

[03:13] Celebrating one year fraud community milestone

[05:42] Meet Anna Prince-Palmer

[08:41] Understanding criminal psychology drives fraud prevention

[10:46] Respecting fraud actors as motivated professionals

[12:29] Testing your own products like fraudsters

[14:56] Translating fraud insights to business stakeholders

[18:37] Leadership turnover disrupts fraud strategy consistency

[23:39] Why acceptable risk mindset fails businesses

[26:34] Honey pot strategies for fraud intelligence

[32:49] System confidence beats loss tolerance metrics

[36:21] Credit card testing through MLM platforms

[39:19] Reseller fraud schemes targeting physical products

[47:07] Mental health tips for peak fraud season

Connect with Anna Prince-Palmer on LinkedIn for fraud strategy insights and follow the Fraudcast community for weekly discussions on the latest threats and defense techniques.

Subscribe for more fraud fighting strategies and risk management tactics from industry experts who've been in the trenches. New episodes every Wednesday.

Jesse Martin-Alexander from Kasada reveals how sophisticated bot networks are preparing for Black Friday by creating fake accounts and exploiting pricing errors right now. These aren't your typical nuisance bots - they're organized operations that can devastate your holiday sales and customer experience.

The conversation covers the real cost of bot attacks beyond just stolen inventory, including how over-aggressive bot protection can accidentally block legitimate customers, creating invisible revenue losses. Jesse explains why the traditional approach of making humans prove they're human through endless CAPTCHAs is failing, especially as AI agents begin to reshape e-commerce.

Looking ahead to 2025, AI-powered shopping agents will create new fraud vectors while simultaneously offering legitimate commerce opportunities. The challenge lies in distinguishing between helpful AI agents and malicious bots masquerading as legitimate traffic.

Key topics covered:

[00:00] Intro

[02:48] Jesse introduces bot protection strategies

[04:41] How bots exploit pricing errors

[06:06] Black Friday bot preparation timeline

[08:02] Zero dollar checkout vulnerabilities exposed

[10:01] Why blocking bots reduces revenue

[12:21] Total cost of bot attacks

[14:29] Breaking organizational silos effectively

[18:34] AI agent commerce emergence explained

[22:04] Fraud risks with AI agents

[25:34] Peak season agent traffic predictions

[28:17] Preparing for AI commerce unknowns

[31:47] Agent identity verification challenges

[36:39] When blocking creates false positives

[41:00] Detecting perimeter security overcorrection

[43:26] Risk exposure in changing landscapes

Connect with Jesse Martin-Alexander on LinkedIn and learn more about Kasada's bot protection solutions.

Subscribe for weekly fraud prevention insights and join our live community discussions every Wednesday.

Tracy Brown breaks down the fraud landscape heading into Black Friday and Cyber Monday, revealing why refund abuse has now overtaken chargebacks as the biggest threat to merchants. With fake storefronts up 800% in Q1 and AI about to break traditional fraud detection models, this holiday season is shaping up to be unlike any other.

Tracy shares real-world insights from her 25 years in fraud prevention, covering everything from gift card fraud rings to WhatsApp business scams. She explains why velocity checks are the most forgotten fraud prevention tool and how romance scams are creating unexpected money laundering challenges for merchants.

Key topics covered:

[00:00] Intro

[02:47] Meet Tracy Brown, fraud consultant expert

[04:24] Tracy shifts from merchant council work

[06:55] Why fraud patterns repeat 25 years

[09:43] Essential fraud basics new teams miss

[10:54] Refund abuse overtakes chargeback volume

[11:25] Velocity checks prevent testing attacks

[12:35] Fake storefront fraud up 800 percent

[12:58] AI threatens holiday fraud models

[15:16] Crypto romance scams drive chargebacks

[16:01] Michelle shares fake ad takedown struggles

[18:13] Brand protection squads fight storefront fraud

[19:56] Privacy versus cryptographic identity verification

[22:15] Gift card fraud rings target merchants

[23:08] WhatsApp business scams exploit encrypted messaging

[26:30] Psychology behind falling for modern scams

[30:09] COVID created loneliness vulnerability epidemic

[32:01] Fingerprinting becomes new fraud prevention tool

[33:49] Car club analogy explains security evolution

[37:13] AI breaks traditional fraud detection models

[39:47] This becomes the AI trial year

[40:40] Revenue optimizer beats fraud fighter title

The discussion reveals how COVID created an epidemic of loneliness that made consumers more vulnerable to scams, and why fingerprinting and other traditional fraud signals are becoming less reliable as AI advances. Tracy also explains the psychology behind why people fall for scams and how fraudsters are now targeting demographics beyond traditional vulnerable populations.

For merchants preparing for peak season, Tracy emphasizes the importance of understanding what fraud actually is, preparing for the surge in chargebacks, and monitoring velocity across all customer touchpoints. She warns that this will be the trial year for AI-powered fraud, after which the landscape will fundamentally change.

Subscribe for more fraud prevention insights and join our weekly community discussions where industry experts share practical strategies for protecting your business.

Manual review queues are about to explode during Black Friday and holiday season. Most merchants send 8-10% of orders to manual review, but without proper optimization, that could jump to 15-20% when volume increases 4x.

Luke Van Hine, Data Scientist at Signifyd, reveals how to optimize your manual review queue before the holiday rush hits. The counterintuitive insight: if you have 0% fraud losses in certain buckets with only 89% approval rates, you're actually leaving money on the table.

The analysis process is surprisingly straightforward. Start by binning your current manual review cases by risk score, looking at approval rates and loss rates in each bucket. If you see buckets with high approval rates and zero losses, your team isn't taking enough risk there. You can often reduce queue volume by 40-50% while maintaining or even improving overall performance.

Key topics covered:

[00:00] Intro

[03:14] Why manual review optimization matters now

[07:20] Black Friday volume surge multipliers

[10:48] Gray area fraud getting harder to spot

[14:32] How queue optimization drives revenue increases

[16:42] Merchant case study pushing approval rates

[21:53] What actually sends orders to manual review

[25:03] Baseline analysis before changing thresholds

[27:59] Score bucket analysis reveals hidden opportunities

[30:14] Real merchant feedback on rule optimization

[34:04] Account age patterns in manual review

[36:23] Order value buckets reveal shipping fraud

[40:05] Black Friday staffing challenges ahead

[42:22] Managing repeat customer false positives

[45:13] Why fraud prevention stays exciting

For merchants heading into peak season, now is the time to run this analysis. You have about a month to test boundaries and find those areas where you can auto-approve more orders. The goal isn't just stopping fraud - it's maximizing revenue while managing risk.

The data shows good traffic increases at much higher rates than fraud during Black Friday week. Fashion sees 4x order volume but fraud rates drop to 37% of normal levels. However, electronics merchants should stay vigilant due to sophisticated fraud rings targeting that vertical.

Queue optimization isn't just about reducing workload for your team during the holidays. It's about capturing more of those first-time customers who are making quick purchasing decisions during limited-time sales events.

Vito Petruzzelli and Gena Rivera break down a massive Bank of America bin attack hitting e-commerce merchants right now. They reveal why traditional fraud rules are failing and share the exact methodology to identify and combat sophisticated fraud patterns without blocking legitimate customers.

The discussion covers a 20% spike in fraudulent activity targeting Bank of America Visa cards beginning with 440066, with 60% involving guest checkouts and half showing AVS mismatches. Industry experts Paula Zon, Ben Li, Lynne, and others share real-world examples from gift cards to luxury goods.

Key topics covered:

[00:00] Intro

[02:46] Y acquisition celebration with Gordon Ramsay

[04:10] Rejected from roundtable discussion

[06:28] Launching fraud fighters Slack channel

[08:12] Fraudcast goes live on podcasts

[09:49] Bank of America bin attack spike

[11:04] Four four zero zero six six bin analysis

[12:45] Experimentation over rigid fraud rules

[16:54] Gift card bin attacks with HSA cards

[21:44] Dark web fraud tutorials and guides

[25:11] Punch Made Dev fraud rap music

[27:14] Rule retirement after ninety days

[31:12] Proton mail and VPN legitimacy shift

[34:26] Multi signal fraud detection approach

[36:44] Sherlock Holmes fraud investigation mindset

Learn why blocking entire bins backfires, how HSA card attacks reveal broader fraud schemes, and why fraud rules lose effectiveness after 90 days. The team introduces their new Slack community for real-time fraud intelligence sharing among e-commerce professionals.

Discover the "Zon technique" for layering fraud signals, understand why VPNs and privacy-focused emails are now legitimate, and get actionable strategies for the upcoming holiday shopping season. This episode provides practical tools for fraud analysts to move beyond simple rules toward sophisticated pattern recognition.

Join the Fraudcast community on Slack and find past episodes on Spotify and Apple Podcasts.

Every year around Black Friday, Southeast Asian fraud networks launch coordinated attacks on e-commerce sites. This episode reveals the shocking patterns emerging from this $2.3 million fraud scheme and why blocking everything could cost you more than the fraud itself.

Vito Petruzzelli breaks down real data showing how fraudsters are exploiting mobile apps at 10X the rate of web transactions, targeting specific freight forwarding locations in Oregon and New Hampshire, and using predictable email patterns to bypass fraud detection systems.

The key insight: this isn't a binary problem. Rather than throwing away millions in legitimate sales to stop thousands in fraud, merchants need granular customer journey analysis to identify the highest-risk segments while protecting genuine buyers.

Key topics covered:

[00:00] Intro

[04:50] Southeast Asian fraud spike threatens holiday profits

[06:52] Proxies hide true fraud origins

[08:18] ISPs revealing Southeast Asian attack patterns

[09:09] Email naming conventions expose fraud tactics

[10:15] Linux browser fingerprints signal bot traffic

[12:21] Oregon and New Hampshire shipping targets

[13:05] Supermarkets become freight forwarding fronts

[14:15] New Hampshire cigarette shop warehousing scheme

[16:17] Why blocking Southeast Asian fraud kills profits

[18:06] Mobile app fraud rates spike 10x higher

[19:30] Customer journey analysis reveals low hanging fruit

[23:04] Product team collaboration stops mobile app vulnerabilities

[24:00] Risk appetite beats zero sum blocking

[27:42] Single family homes mask porch pirate operations

[30:46] Hotels become unwitting fraud accomplices

[34:58] Identity resolution tools combat invisible buyers

[40:54] Dark web shopping lists target specific products

The discussion covers practical fraud prevention strategies including how to analyze buyer account age against order channels, why hotels and supermarkets are becoming freight forwarding hubs, and the critical importance of cross-team collaboration between fraud, product, and security teams.

Featuring insights from fraud professionals dealing with everything from bot attacks to dark web shopping lists, this episode provides actionable intelligence for protecting your business during the busiest shopping season.

Subscribe for weekly fraud prevention insights and join the conversation at our live broadcasts every Wednesday.

Black Friday and Cyber Monday are coming fast, and most fraud teams aren't prepared for what's about to hit them. AI shopping agents are already placing orders on e-commerce sites, manual review queues are about to get slammed, and outdated decision rules could cost you millions in lost revenue.

Vito Petruzzelli breaks down the three critical areas every fraud team needs to address right now. First, AI agents are already shopping on your site whether you know it or not. He shows you exactly how to identify these bot transactions using specific browser strings and user agent data that most teams completely miss.

The bigger problem? Your mobile app guest checkout could be hemorrhaging money. Real data shows mobile app guest transactions running 168 basis points of gross loss rate compared to just 6 basis points baseline. That's 28x higher fraud rates hiding in plain sight.

Using "Il Metodo" (The Method), inspired by legendary soccer tactics, you can finally turn your overwhelming fraud data into actionable intelligence. This systematic approach helps you identify exactly which traffic segments are costing you money and which false positives you're leaving on the table.

The window for testing is closing fast. With only days left in August, now is the time to run A/B tests on your auto-decision logic, review queue criteria, and approval thresholds. What you learn in the next few weeks will determine whether your holiday season is profitable or painful.

Key topics covered:

[00:00] Intro

[02:04] Holiday fraud prep cookbook launch

[04:29] Agent commerce trial year begins

[08:55] Detecting bot traffic with Javascript strings

[13:09] AB testing strategies before Black Friday

[17:20] The Method framework for fraud analysis

[21:04] Order channel performance breakdown reveals losses

[24:58] Mobile app guest checkout disaster zone

[29:38] Agent transaction fraud liability questions

[32:00] Third party manual review success metrics

[38:43] Identity verification with 96% approval rates

[40:09] Manual review teams handle 6x holiday volume

Subscribe for more fraud prevention strategies and risk management insights that help e-commerce teams protect revenue while reducing false positives.

Most fraud prevention teams are trapped in a House of Leaves situation - they have 10, 20, or even more rules running in the background, but 64% have little to no confidence in assessing whether these rules are actually working.

In this episode, Vito Petruzzelli breaks down a simple 5-step process for auditing your existing fraud rules and turning declining orders into revenue opportunities. Using real examples like the "decline all Secaucus, New Jersey orders" rule that was blocking hundreds of thousands of dollars in legitimate transactions, he shows how to identify low-hanging fruit in your rule set.

The conversation covers practical strategies for creating A/B tests with competitor rules, how to present data-driven cases to engineering teams, and why starting with high-impact rules that fire frequently gives you the biggest wins. Ben Li shares insights from conducting bi-annual rule audits, while other participants discuss common pitfalls like accidentally blocking entire email domains or IP addresses from public locations like airports.

Key topics covered:

[00:00] Intro

[03:48] Most fraud teams manage 10 plus rules

[05:28] Rules perform decline approve and hold actions

[06:46] 64% lack confidence assessing rule efficacy

[08:00] Start rule audits with inventory assessment

[08:53] Target high impact rules firing frequently

[10:07] Pull recent declined orders for analysis

[11:26] Create competitor rules for AB testing

[14:00] Ben performs bi annual rule audits

[16:11] Weekly versus monthly rule performance reviews

[18:34] Auto approve rules need regular evaluation

[20:08] Time constraints prevent rule abandonment

[22:26] Data beats dates for rule decisions

[23:55] Internal battles for rule implementation resources

[26:02] Stop the bleeding approach works

[28:05] Remove permissions instead of complex fixes

[31:19] IP address blocking catches innocent travelers

[34:10] Device signals vary by attack type

[36:11] Slack chosen for fraud team collaboration

[39:21] Prove value beyond call center operations

The discussion also explores the internal politics of getting rule changes implemented, with Jamie Ceccato and Shelley Soucy sharing war stories about fighting for resources and finding the "path of least resistance" when working with engineering teams.

Whether you're dealing with legacy rules from former employees, unclear rule logic, or simply want to prove your fraud team is more than just a cost center, this episode provides actionable steps to start your rule optimization journey today.

Subscribe for weekly fraud prevention insights and join the Fraudcast community to connect with other risk professionals tackling similar challenges.

In a world filled with endless fraud alerts and chargebacks that make no sense, finding your community becomes more than just networking - it becomes survival. This episode dives deep into the rising threat of first party abuse, formerly known as friendly fraud, which now accounts for 20% of all fraud incidents and is the top concern for 45% of merchants.

Vito Petruzzelli and Gena Rivera from Signifyd host an intimate conversation about building meaningful connections in the fraud prevention space while tackling the hardest challenges facing teams today. The discussion reveals why first party abuse cases are spiking across e-commerce platforms and how fraud teams can turn these seemingly impossible disputes into valuable business intelligence.

Key topics covered:

[00:00] Intro

[02:15] Building community in chaotic times

[06:37] Individual challenges in threat intelligence

[10:05] Free fraud prevention event announcement

[15:47] Harry Potter email mishap confession

[17:48] First party abuse statistics revealed

[20:38] Friendly fraud as business insight

[25:32] 23 percent chargeback win rate

[28:30] Revenue optimization over cost center

[31:19] Merchant descriptor changes impact

[32:26] Photo proof delivery investigations

[36:04] Narrative building prevents future fraud

[37:12] Final words and community gratitude

Shelley Soucy shares how her team achieved a remarkable 18% year-over-year reduction in preventable disputes by focusing on cross-departmental communication and process improvements. The conversation explores practical strategies for investigating suspicious chargebacks, from using delivery photos and Google Street View to building compelling dispute narratives.

Jamie Ceccato discusses the challenges of merchant descriptor confusion and how proper communication between sales teams and customers can prevent unnecessary disputes.

Ryan McDonald announces a free industry event focused on threat intelligence and fraud prevention techniques.

The episode emphasizes the importance of viewing first party abuse as a diagnostic tool rather than just a loss recovery opportunity. These incidents often reveal gaps in customer service, shipping carrier performance, product quality issues, or website messaging problems that can be addressed through cross-functional collaboration.

Learn how to transform friendly fraud investigations into business intelligence that drives operational improvements across customer support, logistics, product teams, and marketing communications.

In this episode, Vito Petruzzelli sits down with Pedro Sanzovo, Sr. Director of New Products at Signifyd, to dive deep into the rapidly evolving world of ecommerce returns.

Pedro, who brings a diverse background in fraud prevention and analytics, frames returns as a crucial moment where consumer trust is tested and loyalty can be won. However, he also highlights how this customer-centric approach has unintentionally created new vulnerabilities, as fraudsters and abusers exploit increasingly lenient return policies designed to delight legitimate shoppers.

The conversation explores the dramatic shift from brick-and-mortar to online return experiences. Pedro and Vito discuss logistical challenges unique to ecommerce, such as higher costs, lack of in-person exchanges, and the complexities of offering instant refunds—a trend that, while aimed at recapturing customer goodwill, can be easily manipulated by bad actors. Pedro provides several real-world examples of returns fraud, from the infamous “rock in the box” scam to advanced tactics like label manipulation, stressing that many merchants still lack visibility into how much fraud and profit erosion occur due to poor data integration and process controls.

Pedro outlines a four-step path to returns management maturity, starting with gaining visibility over returns data, controlling obvious fraud, addressing grey-area abuse, and finally, optimizing processes to tackle excessive returns driven by business inefficiencies. The episode concludes with a discussion on the personal and professional growth opportunities in this complex, cross-functional space—ideal for problem solvers who thrive on both analytical work and broad collaboration. Pedro’s passion for the field underscores the exciting potential for companies and individuals willing to tackle the challenges of modern returns.

Chapters:

00:00 Ecommerce Returns and Fraud Challenges

03:48 Reevaluating Ecommerce Return Costs

08:56 Vito's Creative Fraud Strategies

11:55 Overcoming Refund Fraud Challenges

16:02 Reducing Returns Through Consumer Insights

19:31 Challenges in Ecommerce Returns Process

20:36 Embracing Passion in Problem Solving

In this episode, Vito Petruzzelli talks with Rajesh Ramanand, the Founder and CEO of Signifyd and a seasoned expert with nearly 25 years in retail and ecommerce, for an in-depth discussion on the growing challenge of product returns in the digital marketplace.

They kick things off by exploring how the convenience of online shopping has led to a staggering volume of returns—nearing $900 billion annually in the US alone—and how retailers are struggling to replicate the in-store experience, where returns often lead to additional purchases. Raj emphasizes that while brick-and-mortar stores could recapture lost revenue by encouraging customers to shop after a return, recreating that journey online remains a significant hurdle.

A key point of the conversation centers on the hidden costs and organizational fragmentation surrounding returns. Vito and Raj shine a light on how returns have long been accepted as a standard part of business, leading to a lack of clarity and ownership over the issue. Raj explains that no single department oversees the entire returns process; data is scattered across multiple teams, making it almost impossible to identify patterns of negligent or abusive returns, promotional gaming, and supply chain-related errors like inconsistent sizing. By breaking down the avoidable portion of returns—estimated at roughly 50%—the episode provides actionable insights into how retailers can use unified data and analytics to both minimize avoidable returns and improve overall margins.

Looking to the future, the discussion shifts to technology-driven opportunities in the returns ecosystem. Raj highlights the promise of instant refunds for trusted customers, revealing that such measures can prompt 40% of returners to make immediate repeat purchases—helping merchants offset both the direct and indirect costs of returns. He concludes by advising retail leaders to establish clear ownership of the returns function, invest in holistic data analysis, and deploy targeted strategies that reduce costs while maximizing customer value. The episode offers strategic guidance and real-world examples, making it a must-listen for anyone in retail, ecommerce, or revenue management.

Chapters:

00:00 Recreating In-Store Shopping Online

06:26 Return Management: Boosting Profits

08:56 Strategies for Managing Retail Returns

13:22 Challenges in Assessing Purchase Intent

15:39 Risk Management through Data Integration

18:07 Instant Refunds Boost Online Sales

22:37 Reducing Ecommerce Return Rates

23:55 Streamlining Returns Management

Craig DeWitt, Founder of Skyfire, reveals how agentic commerce is transforming online shopping and why traditional fraud detection systems are blocking billions in valid revenue. The data shows web traffic to major publications has dropped 70% in 6 months as consumers shift to AI-powered shopping interfaces, yet most merchants can't tell the difference between legitimate agent transactions and fraud attempts.

The current agentic commerce experience is clunky - users still manually input credit cards and navigate through traditional checkout flows. But that's about to change dramatically. Craig explains how Skyfire's identity and payments platform solves the core problems: bot managers blocking agent access, IP switching between browsing and payment that triggers fraud alerts, and the lack of PCI-compliant ways for agents to handle credit cards.

The solution involves Know Your Agent (KYA) tokens that provide verified identity information throughout the purchase journey, plus partnerships with card networks like Visa Intelligent Commerce for secure single-use cards. This creates a seamless flow where agents can browse with proper credentials, select products through APIs rather than web scraping, and complete purchases with verified payment methods.

The implications extend far beyond ecommerce. As search functionality moves from Google to chat interfaces, purchase intent follows. Craig predicts we're moving toward ambient shopping where AI understands your preferences and proactively makes purchases - democratizing the personal shopper experience that only wealthy people currently enjoy.

For fraud professionals, this represents both massive opportunity and risk. The current spit-and-glue approach creates false positives that block legitimate high-value transactions. Organizations need to start monitoring bot traffic patterns, partnering with their SEO teams to understand changing web analytics, and preparing for a world where traditional fraud signals become obsolete.

Key topics covered:

[00:00] Intro

[01:23] Agentic commerce traffic poll results

[03:50] What is agentic commerce exactly

[04:50] Why Craig built Skyfire payment platform

[05:42] Bot protection blocks agentic transactions

[06:37] IP switching triggers fraud alerts

[08:30] Current agentic checkout friction problems

[10:24] Know your agent identity solution

[13:51] API checkout beats website scraping

[16:19] Agentic traffic monitoring strategies

[17:39] Website traffic drops 70 percent

[19:21] Credit card access breakthrough coming

[22:21] Identifying missed revenue from blocks

[24:58] Adoption outpaces smartphone and internet

[27:00] Investment surge in agentic shopping

[29:34] Start with bot traffic analysis

[32:43] Ambient shopping replaces manual browsing

[35:36] Regional patterns in agentic traffic

[40:47] Next generation agent capabilities

[43:33] Two factor authentication for agents

[44:38] Contact Craig at Skyfire

Connect with Craig DeWitt on Twitter @cryptocowboy or reach out via email for more insights on agentic commerce strategies.

Subscribe for more fraud prevention insights and ecommerce trends that impact your bottom line.

AI shopping agents are quietly infiltrating ecommerce sites, creating a perfect storm for fraud teams. Jordan Brannon, President of Coalition Technologies, reveals how AI bots are already making purchases while appearing completely human - using real devices and browsers that bypass traditional fraud detection.

The challenge is massive. These AI agents look identical to legitimate customers in fraud systems, but companies like OpenAI are actively obfuscating their bot traffic to circumvent security measures. Meanwhile, organic web traffic is plummeting while AI-driven traffic spikes across the internet.

Key topics covered:

[00:00] Intro

[04:02] Jordan's drop shipping origin story

[05:43] Early spam flags and rejections

[09:57] AI agents creating diagnostic moments

[12:04] Fraud tech blocking AI purchases

[14:50] Shadow bots circumventing perimeter defenses

[18:52] Testing AI agents on websites

[23:18] Zero party data before Black Friday

[25:20] Social commerce fraud fingerprints

[26:34] ADA lawsuits spiking in New York

[29:28] Social platform filtering through Shopify

[32:02] Connected fitness delivery challenges

[35:35] Azure maps preventing mis deliveries

[38:43] AI browsing behaviors for holidays

[39:37] Marketing teams flying blind on fraud

[41:56] Coalition Technologies contact details

Jordan shares real examples from clients dealing with bot-driven product drops, social commerce fraud patterns, and the accessibility compliance issues creating new vulnerabilities. He also breaks down practical solutions including zero-party data collection, address validation APIs, and cross-team collaboration strategies.

With Black Friday approaching, brands face a critical decision: block potentially legitimate AI purchases or risk fraudulent activity. The conversation covers everything from TikTok commerce fingerprinting challenges to delivery logistics fraud prevention.

This episode provides actionable insights for fraud professionals navigating the intersection of AI technology and ecommerce security. Learn how to prepare your systems, test your own site with AI agents, and collaborate with marketing teams to identify fraudulent traffic by channel.

Connect with Jordan Brannon at jordan@coalitiontechnologies.com or find Coalition Technologies by searching "SEO company" - they typically rank #1.

Subscribe for weekly fraud prevention insights and join our community of ecommerce security professionals tackling the industry's biggest challenges.

In this episode of the Fraudcast, Gena Rivera and Vito Petruzzelli welcome Kelley Andersen, a seasoned leader in payments fraud and customer support tooling at Microsoft and former Amazon fraud expert, to dive into the latest challenges and strategies in e-commerce fraud prevention.

Kelley opens up about her journey from early aspirations in law to risk analytics in insurance, eventually leading major fraud teams at Amazon and Microsoft. She emphasizes the untraditional pathways many take into fraud prevention and sets the stage for an insightful conversation about the dynamic evolution of the field.

The discussion dives deeply into how customer support and fraud teams can—and should—work hand-in-hand, especially as online threats grow more sophisticated. Kelley and the panel stress that social engineering scams now target not just systems but the human element, making frontline customer service agents crucial sources of fraud intelligence. The conversation also covers manual review, the enduring value of the human touch despite rapid advances in AI, and the risks of relying solely on artificial intelligence for fraud detection. Matthew and other participants provide firsthand insights from both financial institutions and operational support, adding layers of real-world perspective.

A major focus of the episode is the rise of agentic commerce—AI-driven or bot-assisted purchasing—which is poised to reshape risk management, especially as Black Friday and other peak shopping events approach. Kelley urges fraud professionals to use this year as a “trial run” for new strategies, suggesting proactive testing and collaboration with other business teams to fine-tune responses to emerging threats. She also shares lessons from past failures, highlighting the importance of scalable, adaptable guardrails instead of aiming for zero fraud or zero tolerance. Ultimately, the episode is a practical, engaging exchange packed with advice and camaraderie for fraud fighters preparing for the ever-changing e-commerce landscape.

Chapters:

00:00 E-commerce Evolution with Kelley

06:28 Adventures in Amazon Innovation

09:44 Analyzing the Lawyer Archetype

15:14 Enhancing Investigative Team Efficiency

18:44 The Human Element in AI Integration

22:27 Revolutionizing Cybersecurity Testing Methods

26:04 Prototyping's Role in Risk Strategy

27:37 Holiday Traffic Risk Assessment

30:50 Planning for High-Volume Events

35:49 Evolving Fraud Assessment Strategies

36:28 Balancing Fraud Detection and Approval Rates

41:56 Embracing Imperfection in Strategic Planning

In this episode of the Fraudcast, Vito Petruzzelli and Gena Rivera welcome the legendary Coby Montoya, a seasoned fraud and payments specialist with two decades of experience across companies like PayPal, American Express, and Sift.

The episode’s community-driven format encourages live participation and features contributions from fraud professionals including Ryan, Matthew, and Toy. The conversation kicks off with Coby sharing how a start in customer service gave him unique empathy for the human side of fraud and risk prevention—a perspective that continues to influence his approach even as technology changes.

Much of the discussion focuses on the evolving balance between automation (machine learning and AI) and human judgment in detecting and combating fraud. While the panel acknowledges that many legacy practices—like manual phone verification and simplistic signal-checking—have been left behind, they agree some older tools, such as IP address data and AVS, still retain value when used intelligently. Coby emphasizes that manual review is shifting from routine transaction approvals toward a more strategic “field intelligence” role, providing critical feedback to inform system improvements. The group also explores company structures and the importance of operational and analytical teams working closely, advocating for formal governance and shared escalation procedures to manage risks more holistically.

Timely topics around contemporary threats are addressed, from the increasing sophistication of phishing and social engineering attacks—which now blend urgency with convincing fake content—to the challenges of brand impersonation via cloned websites. The group debates how best to educate and protect consumers, discussing everything from creative UX changes to industry standards for verifying legitimate commerce agents. Looking to the future, they touch on the impending rise of AI-powered shopping agents and the associated questions about new fraud vectors and liability. The episode ultimately offers a practical, candid look at the state of e-commerce fraud today, blending technical know-how with real-world advice and an open invitation for the community to participate in ongoing collaboration.

Chapters:

00:00 Engaging Community During Summer Break

06:29 Bias in Fraud Analytics Discussions

07:43 Future Role of Fraud Professionals

12:22 Rethinking IP Address Importance

16:10 Rethinking Risk and Operations Strategy

19:53 Targeted Phishing Threats

21:26 Enhancing Security: Transaction Friction

24:23 Enhancing UX through Visual Differentiation

28:29 Generative AI Impacts on Trust

33:23 Optimizing AI Through Governance

36:18 Holistic Governance and Accountability

40:07 Agentic Commerce: Liability Issues

41:19 Assessing Financial Risk in Companies

This episode of Fraudcast centers on the theme of “making yourself heard” within ecommerce fraud and risk teams, featuring special guest Brian Davis, ecommerce fraud and risk legend.

Brian draws from his vast experience building fraud teams and processes across different business models to share a practical framework he calls “Know Your Stuff, Know Your Audience, Know Your Message.” The discussion emphasizes how fraud professionals can better communicate their insights and needs—whether addressing their own teams or presenting cases to executive leadership—by tailoring their messaging, using data-driven storytelling, and understanding the internal goals and priorities of other stakeholders.

Co-hosts Gena Rivera and Vito Petruzzelli guide an energetic, collaborative conversation, encouraging audience participation from industry peers like Shelley and Justin. Real-world scenarios come up—like handling internal roadblocks, making the business case for preventative controls, and ensuring that positive fraud outcomes don’t go invisible. The group exchanges strategies on framing impact in terms of ROI, customer experience metrics, and how to keep a record of “wins” for ongoing influence. Timely topics, like the confusion and opportunity around new compliance requirements such as VAMP, provide avenues to discuss starting proactive conversations with internal partners and breaking down organizational silos.

Overall, the episode balances expert insights with relatable stories from the field, offering both high-level frameworks and granular tactics for fraud and risk professionals looking to build stronger internal relationships, navigate company politics, and drive meaningful change in their organizations.

Chapters:

00:00 E-commerce Fraud Networking Session

05:29 Cross-Functional Team Contextualisation

08:09 Understand Your Responsibilities and Audience

10:12 Building a Personal Fraud Typology

15:47 Collaborating with Product Teams

16:46 Distinguishing Signal in User Data

23:11 Fraud Detection and Resolution Metrics

27:13 Understanding Company Decision Dynamics

28:35 Evolving Solutions and Persistent Dialogue

34:24 Invisibility's Cost in Business Management

36:29 Document Wins to Track Success

40:13 Curiosity: Fraudster's Hidden Sales Edge

44:24 Navigating Vendor Conversations on Regulations

45:42 Continued Conversations Online

This episode of Fraudcast takes a deep dive into the intricacies of fraud within the art and music industries, highlighting how schemes have evolved from historical payola scandals to modern manipulations involving bots, fake streaming numbers, and AI-generated content. Vito Petruzzelli and Gena Rivera set an open and inviting tone for discussion, encouraging active participation from the live audience. They lay the groundwork for a conversation that examines the ethical, technical, and operational complexities of stopping fraudulent activities in sectors where authenticity and provenance are often difficult to verify.

The episode features Steven Frank as the special guest, whose extensive two-decade career spans fraud prevention, AML, and risk management roles at companies like Sirius XM, Pandora, and in the investment banking sector. Frank shares his firsthand experience combating everything from digital music streaming fraud and content theft to anti-money laundering gaps in the fine art and luxury e-commerce markets. He emphasizes the ongoing tension between maintaining business growth metrics—like daily and monthly active users—and the need for robust verification and friction points to reduce fraud and comply with regulations, especially as new technologies and AI continually reshape the landscape.

Throughout the conversational and candid episode, audience members such as Ryan, Tom, and Ron contribute their own questions, delving into real-world concerns about chargebacks, emerging payment security standards, and balancing seamless customer experience with risk management. Key takeaways include the importance of rigorous manual oversight in chargeback disputes, practical tips for working with banks and payment processors, frank discussion about the limitations of relying on AI for financial dispute resolution, and a look ahead at the future of tokenized identities in both the payments and content royalty worlds. The episode ultimately offers both hope and caution: while the fight against fraud is ever-changing and complex, building stronger communities and sharing knowledge are essential to staying ahead.

Chapters:

00:00 Enhancing Virtual Networking Connections

06:06 Cross-Industry Compliance and Fraud Prevention Journey

08:10 Managing Risk at Sirius XM

13:23 Fine Art and Money Laundering Regulation

14:30 Music Streaming and Money Laundering Investigation

20:34 Streaming Fraud and Industry Accountability

25:05 Exploring Identity and Cryptography

26:57 Caution in Using Web3NFT and Crypto

29:38 Impact of Commercializing Artists' Legacies

35:10 Challenges in Opting Out of Banking Regulations

39:04 Friction's Impact on Trust & Safety Careers

39:39 Future Leadership Roles and Market Challenges