Databowl’s Post

Unsure if you’re suffering from fraudulent leads? Here are 5 quick “Tells” that may help you detect it. Of course, you still need to dig deeper into the data This is why we allow fraudulent leads to be submitted but reject the lead Then we can analyse the meta data and the first party data that is used for fraud It’s all about putting the correct processes in place to prevent, as well as detect and eradicate. It’s a constantly evolving battle But here are 5 quick wins you can start with #leadmanagement #leaddistributionsoftware 

AdTech's Battle Against Ad Fraud in 2024 As we're tackling the evolving challenge of ad fraud in 2024, I'm keen to hear about the proactive measures you're implementing. 🤖 AI's Role: AI is a key player in identifying and mitigating fraudulent activities. What AI strategies are proving effective for you? 🤝 Collaborative Efforts: Sharing knowledge and resources is crucial. Have any partnerships or collaborations made a significant difference in your ad fraud prevention? ] 📊 Data-Driven Detection: Are there specific analytics tools or strategies you're finding particularly useful in detecting ad fraud? 🛠️ Innovative Solutions: What new tools or technologies have you recently adopted? Any emerging solutions you're excited about? Let’s share insights and learn from each other’s experiences in this ongoing battle against ad fraud. Looking forward to your thoughts and strategies! #AdTech2024 #FightAdFraud #DigitalInnovation

⚖ Thinking about building vs. buying fraud prevention? It doesn't have to be an either-or debate. Your organization has unique data and behavioral insights on your users and customers which deliver strong fraud prevention signals. No third party partners can provide this data. However, there are third party vendors out there that deliver unique and truly differentiated fraud and risk signals with high data quality. 💡 The best organizations are achieving high data quality for internal ML and rules by effectively combining in house data with best-in-class third party signals. It all comes down to data quality. #FraudPrevention #BuildVsBuy #DataQuality

The surge in #deepfakes featuring well-known figures has sparked significant discussion and concern across social media platforms. While #digital identity verification creates seamless customer journeys building digital trust, on the flip side remains the lingering threats of misusing virtual identities that leads to a reputational damage and a financial setback. Here’s what Ankit Ratan, our CEO has to say about the emerging threat of deep fakes and the need to be more resilient to safeguard identities. https://lnkd.in/gXq3BTZ7 📍 As you read the article, you can also explore Signzy’s #livelinessdetection api and #identityverification suite that offers powerful solutions for businesses like yours to stay safe from such threats. 

Ad fraud is an incentive problem. Good guys are always playing catchup. For years the industry has been led by vendors knowing how to catch only a fraction of the fraud. In fact underreporting by signification multiples. (ANA, 2023, 36c in the $ could reach a verified human) New-era analytics, FouAnalytics, is the future, a sleuth with optimisation boosting outputs. Hard, independent, detailed data. Ask Truthsets.Online about a free trial, even as a benchmark against your existing, if any, ad fraud verification vendors. And FouAnalytics is more, it is a comprehensive online campaign analytics suite, seeing beyond bots, optimizing for humans and channels delivering results for business outcomes, not vanity metrics. #adfraud #campaignoptimization www.truthsetsonline.com viewable4humans@truthsetsonline.com https://lnkd.in/gDUwydVG

❌ How prepared are you to fight #AI and #deepfake fraud? 💰 What has been the cost of #fraud in the last 12 months? 👀 What types of fraud are you seeing most? 🔞 What checks are done on your customers’ ID documents to detect forgeries or synthetic IDs? 🛑 How do you stop repeat offenders? 🤳 How can you tell if the person taking the selfie is real – and not just an image? Ask yourself these questions – so you can identify exactly what you need from a verification partner. Download our 👉 free IDV Buyer's Guide 👈 for everything you need to know to select a new #identityverification platform that works for your exact business needs.

Next week! - I'll be sharing the virtual stage with Garient Evans and Kevin Lee talking about how to leverage AI to combat marketplace fraud. With Account and platform fraud growing 3X per year and threatening the security, trust and efficiency of digital marketplaces -- there is a lot to talk about. I hope you can join us! https://lnkd.in/gCTVriwm #preventaccountfraud #2024securitygoals #marketplacerisk Verosint

🔎 Have you checked out our latest Digital Trust Index report on the impact of GenAI on fraud? There is a clear link between the growing accessibility of GenAI and the rise in content fraud such as spam and scams. According to our most recent survey of fraud and risk professionals, over three-quarters noted a surge in AI-backed attacks targeting their businesses. Similarly, the majority of consumers surveyed by Sift reported an increase in spam and scams. Here Kevin Lee and Brittany Allen, Trust and Safety Architects here at Sift, share some of the more striking findings on AI and fraud from our latest Digital Trust Index. For more, access the full report here: https://buff.ly/4ezLjyb #Fraud #AIFraud #GenAI #FraudPrevention #Scams #NewReport #AIPowered #FraudTrends

Why do you need tailored fraud prevention models? ➡The answer is simple: fraud is ever-evolving. And we need to be smarter than the fraudster! ❔How does it work? Utilizing a fusion of #AI and #machinelearning, we sift through the noise to identify patterns and anomalies indicative of fraudulent activity. Our custom solutions integrate seamlessly with your systems, providing real-time alerts and actionable intelligence to protect your bottom line and maintain customer trust.

This is the type of data that makes the field of Behavioral Analytics interesting: After a 4-month study of behavioral trends, NeuroID has discovered something; 100% of the time, we see that groups of human fraudsters are probing the defenses of their target before they launch a bespoke bot attack. The spikes in these different types of behaviors are clear as day! The takeaway: Fraudsters, augmented by their battalions of bots, have adopted a sophisticated division of labor in their strategy. Their diligently planned guerrilla attacks allow them to strike and retreat within 33 hours of their opening gambit. As many of you know from experience, a fraud blitz is often identified only after the attack has ended... Our pre-submit behavioral data allows us to see these attacks coming before they happen! If you're interested in learning more about this or how NeuroID and TransUnion have partnered together, feel free to reach out (I love this stuff)😊 #behavioralanalytics #fraud #identity #truvalidate #devicerisk