SEON

We're thrilled to share that SEON has been nominated for 'Best in Identity and Fraud Management' at the CybersecAsia Readers' Choice Awards 2026. 🎉 This category recognizes solutions that help organizations detect and stop fraud before it happens, protecting both revenue and customer trust. If you've worked with us or seen firsthand how our platform strengthens fraud detection and identity verification, we would greatly appreciate your support and vote. You can vote for SEON here: https://lnkd.in/euwsgipw Thank you for your support! 🤝

Most fake candidates don't get caught – because they don't look fake. 🚨 They show up with working email addresses, phone numbers that pass format checks and a work history that reads as plausible. Nothing about the application looks wrong on the surface. What gives them away is history. Or, more precisely, the lack of it. ➡️ A real professional builds up years of digital residue without trying: social accounts, old data breaches, a LinkedIn profile with an actual timeline. A synthetic identity built last week has none of that, and there's no way to manufacture years of history overnight. Deliverability only tells you an email exists. It says nothing about who's actually behind it. Platforms checking for this kind of depth catch applications that standard checks let straight through. Full breakdown of the signals that separate a real candidate from a fabricated one: https://lnkd.in/dDkKPzv5 #HRTech #ATS #FraudPrevention #SyntheticIdentity #TrustAndSafety

The most dangerous applicant on your platform this week won't fail a single check. ➡️ Applicant Tracking System providers process millions of candidate profiles each year, often on behalf of thousands of employers simultaneously. The volume itself is exactly what made them the target for fraudsters. And they aren’t stealing credentials or forging documents, more like building synthetic identities with a real name, a fresh email and a plausible work history. Enough of it looks real to pass a standard check. None of it belongs to an actual person. Enterprise clients feel it, too. More are asking their ATS providers what they’re doing to catch fake applicants before procurement reaches the contract stage. Platforms that can't answer this question are losing deals to the ones that can. We broke down the five fraud patterns hitting ATS platforms right now, and why document checks alone can't catch them. Link to the article in the comments below. 👇 #HRTech #ATS #FraudPrevention #HiringFraud #TrustAndSafety

Indonesia's financial sector is scaling fast, and so are the fraud risks that come with it. 🚨 At IAFPC Indonesia 2026, fraud leaders, regulators and financial institutions will gather to tackle the real-time challenges of digital identity, authentication, and financial crime. SEON will be there, and we'd love to talk about: ✔️ Real-time fraud detection built for Indonesia's digital economy  ✔️ Risk controls that drive approval rates instead of just blocking fraud ✔️ Unifying fraud and AML workflows into a single, efficient process Come speak with our team and discover how Indonesia's banks, fintechs and digital lenders are stopping fraud without slowing growth. Book a meeting with us: https://lnkd.in/dszgPdkN

Fraud teams and the people trying to beat them are moving at the same speed, just in opposite directions. Nauman Abuzar, VP, Risk & Compliance at SEON, joined Brendan Le Grange on the How to Lend Money to Strangers podcast to talk about what that means for risk and compliance teams. The conversation covers the AI arms race in fraud, why a single API matters more than a stack of point solutions and how SEON brings together 900+ first-party data signals into one AI command center for fraud prevention and AML compliance. 🎧 Full episode link: https://lnkd.in/giw3ypcp

SEON invites you to experience RiskTech Connect Manila on July 29! 🎉 We’re bringing together industry leaders and innovators for an insightful panel discussion to explore the future of AI-powered fraud defenses for the Philippines' digital banking frontier. As digital and rural banks across the Philippines accelerate their digital transformation, many are growing faster than their fraud prevention and risk management capabilities can evolve. Without large, dedicated fraud teams or mature detection infrastructure, these institutions face increasing pressure to safeguard customers, comply with the Anti-Financial Account Scamming Act (AFASA) and meet regulatory expectations — all while fraud tactics become more sophisticated. This evening will equip you with valuable insights into the evolving fraud landscape, the latest regulatory developments and practical strategies to help financial institutions strengthen their fraud defenses while supporting sustainable digital growth. Request to join: https://lnkd.in/dRpDfQqi

Low-effort fraud is in retreat. Cookie-stuffing, crude multi-accounting and IP-only attacks no longer clear the bar most platforms have set. What's coming through instead is heavier: career professionals running large account clusters through virtual machines and emulators, rings using residential proxies and generative AI to defeat liveness checks. There's a longer-tail threat worth flagging too. Fraud rings now buy aged, verified accounts, hold them dormant to bypass risk-observation windows, then activate them to claim retention bonuses worth more than welcome offers. The decision to let that account onto the platform was made at signup, sometimes years before the loss landed on the books. The attacker mix has shifted. And most registration stacks were built for the version that's already leaving. 💡 Registration Fraud in iGaming: How to Build a Detection Stack ➡️ https://lnkd.in/d3awsiig

Plumery 🤝 SEON 🎉 Read about our partnership here: https://lnkd.in/d9zfHXKz

36% of betting and gaming operators report false positive rates between 26% and 50%. 🚨 Most treat it as the cost of doing business. The actual cause is almost always the same: default vendor rules applied to a traffic mix the vendor never saw. Out-of-the-box settings can push 1 in 3 legitimate registrations into manual review, burying fraud teams in noise while the product team watches conversion rates drop. Every one of these flags is a real player slowed down or lost entirely. Operators who build custom rules against their own labeled traffic see review rates fall into single digits. Betflag posted a 20% efficiency gain by combining real-time signals with tuned rules that kept the player journey frictionless. 💡 How to tune without blocking legitimate players ➡️ Article linked in the comments.

SEON is now an ACAMS affiliate partner and is entering the ecosystem with a clear focus: strengthening the tools available to AML compliance teams. ACAMS is the world's largest international membership organization for anti-financial crime professionals. For compliance teams working across financial crime detection, investigations, and regulatory reporting, it is where the industry's most critical conversations happen. Many compliance teams continue to operate across disconnected systems that slow down decision-making and create blind spots. That is precisely the challenge SEON is built to solve, and we’re thrilled to contribute to the ACAMS community!