💡 Our newest Q2 2024 Digital Trust Index is live! Key findings—AI fraud on the rise: Over half of businesses are reporting AI-backed attacks on a daily or weekly basis, and almost 70% of consumers say it has become more difficult to identify scams, thanks to AI. 🔍 Discover more insights on AI fraud trends, consumer impacts, and how to combat these sophisticated threats—read the full report now: https://buff.ly/4ezLjyb #AI #FraudPrevention #AIFraud #NewReport #FraudTrends #FraudData #AIPowered #GrowFearlessly
Sift
Computer- und Netzwerksicherheit
San Francisco, California 20,259 followers
Sift is the AI-powered fraud platform securing digital trust for leading global businesses.
Über uns
Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Brands including DoorDash, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com.
- Website
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https://sift.com
External link for Sift
- Industrie
- Computer- und Netzwerksicherheit
- Größe des Unternehmens
- 201-500 Mitarbeiter
- Hauptsitz
- San Francisco, Kalifornien
- Typ
- In Privatbesitz
- Gegründet
- 2011
- Spezialitäten
- Machine Learning, Software as a Service (SaaS), Fraud Detection, Predictive Analytics, Big Data, Data Visualization, Digital Trust, Digital Trust & Safety, Risk management, Payment Fraud, Fraud Detection Software, Revenue Growth, Artificial Intelligence, Fraud Expertise, and Fraud Prevention & Protection
Produkte
The Sift Platform
Fraud Protection Software
AI-fueled fraud tools are the key to enabling next-level consumer experiences. Sift’s AI-powered platform transforms fraud prevention into a competitive advantage for you, your team, and your consumers.
Standorte
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Primäre
525 Market St
San Francisco, Kalifornien 94105, US
Employees at Sift
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Richard Helliar
VP EMEA - Sift | Hypergrowth Sales and Marketing Leader committed to accelerating business success
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Liz Kao
Principal B2B SaaS PM | Business Process Optimizer & Customer-facing Reporting/Dashboard Champion | Dummies author
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Albert Wenger
Managing Partner at Union Square Ventures
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Ryan Heavner
Aktualisierungen
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*Upcoming Webinar* Enterprise companies can no longer afford to write off fraud losses. With cyberattacks on the rise, the C-suite must prioritize online fraud prevention to drive growth. Join us on August 21 at 9 a.m. PT / 12 p.m. ET for an exclusive discussion with Sift's CMO Armen Najarian and Vice President and Principal Analyst at Forrester, Andras Cser, where we'll cover the following: 🔍 Understanding the financial impact of fraud. 🔗 Integrating fraud prevention into your customer identity strategy. 🔮 Future-proofing your business with AI-powered solutions. 🤝 Fostering cross-functional collaboration for resilient fraud prevention. Save your spot, register here: https://buff.ly/4dIAEjF #Webinar #FraudPrevention #CyberSecurity #AI #Forrester
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What does the future of online fraud detection look like? Experts say it will be the merging of cybersecurity and fraud prevention efforts to tackle sophisticated threats. Gartner's latest report highlights how combining these forces can protect your business and allow you to stay ahead of market demands. 🔗 Get insights and recommendations in the full report: https://buff.ly/4c6hm6q #FraudPrevention ##Cybersecurity #NewReport #Gartner
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💡 Great tips from our Senior Trust and Safety Architect Brittany Allen on avoiding tech support scams ⤵ #FraudPrevention #ConsumerSafety #Scams
I was eating dinner after day two of the PaymentsEd conference when a local DC news station shared these three tips for avoiding tech support scams. Naturally as a teacher, I wanted to share my two cents and expand upon these recommendations. Tech support fraud is a type of social engineering scam where a fraudster misrepresents themself as a representative who can help the victim with an alleged tech issue, instead stealing money from the victim or otherwise profiting from access to the victim's device. Here's what I would add to each of the three recommendations. 1. AVOID ANSWERING CALLS FROM UNKNOWN NUMBERS. The calls won't always be "unknown." Fraudsters have no problem spoofing a legitimate company's name on caller ID. Instead, you should avoid answering calls from unknown numbers AND then either screen unexpected calls or at the very least answer them with a high rate of suspicion. Don't be afraid to hang-up and call the company back at their legitimate contant number. 2. NEVER GIVE PERSONAL FINANCIAL INFORMATION TO STRANGERS. Your info can be stolen without you ever directly offering it up. It can be as simple as you clicking on a link that installs malware on your device. So don't just guard your personal data when you become suspicious of a conversation; limit your actions as well. This is especially true if you are asked to provide remote access to your device. All it takes it one click. 3. CALL SOFTWARE COMPANIES OR ANTI-VIRUS COMPANIES DIRECTLY FOR ANY ISSUES. In many iterations of these scams, the criminals don't call their victims. Instead, after receiving an urgent pop-up, email, or text, the victim calls them. So if you do need to call a software or anti-virus company, make sure you are calling the number from their legitimate website and not from one of these notifications. What would you add to my revisions? #fraudprevention #consumersafety #scams #cybersecurity #awareness
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🛒✨Did you know 17.6% of online orders are returned, costing businesses $100 billion in chargebacks last year alone? Chargebacks, initiated by banks, are complex and costly. Refunds, managed by merchants, are simpler and more cost-effective. Understanding these differences and implementing strategies like clear refund policies and AI-powered fraud detection can protect your business from financial losses and build customer trust. Learn more about preventing chargebacks and refund fraud here: https://buff.ly/4dj3IxC #FraudPrevention #Chargebacks #RefundFraud #DigitalTrust #ECommerce
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🔍 Think you can spot an AI scam? Most consumers (73%) believe they can, but overconfidence might be risky. Nearly 80% are worried about AI being used to defraud them, and with good reason. Misleading AI-generated images, imposter websites, and deepfake scams are becoming more sophisticated, fooling even the most digitally savvy among us. For more findings on the role of AI in fraud, check out our latest Digital Trust Index: https://buff.ly/4ezLjyb #AIFraud #FraudPrevention #FraudTrends #NewReport #AI
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🎊 A warm welcome to our newest employees! Yuval Shchory Molly Whalen Alexandra Shatova Kyle Link If you're curious about opportunities at Sift, visit https://sift.com/careers #WorkplaceCulture #NewHires #Careers #PeopleCulture #EmployeeSuccess #Hiring
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Online marketplaces are thriving, but they also face unique fraud challenges from both buyers and sellers. From fake profiles to false advertising, these threats can undermine customer trust and cause significant financial losses. Here we share how to protect your marketplace, enhance user trust, and keep your community thriving: https://buff.ly/3Yo3FN5 #MarketplaceFraud #FraudPrevention #ECommerce
How to Prevent Marketplace Fraud - Sift
sift.com
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Sift and About Fraud just wrapped our final Risk Revenue Forum last night in San Francisco. A huge thank you to everyone who came out, PJ Rohall who helped make these happen, and to our speakers Brittany Allen Rosa Y., Jane L., and Raviv Levi!
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We're back with another #FIBRFriday, where we share insights from our Fraud Industry Benchmarking Resource, FIBR. This week, we're taking a close look at accounts with loyalty points, which have a high rate of account takeover attacks (ATO), reaching as high as 11% in Q1 of this year, well above other industry averages which hover around 2-3%. Online accounts holding loyalty points are prime targets for account takeover attacks because these points have monetary value and can be redeemed for goods, services, or discounts. Attackers can easily exploit these accounts for financial gain, often with less scrutiny compared to direct financial transactions. And many consumers may not monitor their loyalty points as closely as their bank accounts, making it easier for fraudsters to go undetected. 🔗 FIBR is interactive, explore the tool yourself to compare your business's fraud metrics across industries or geographies: https://buff.ly/3K7l9ES #FraudPrevention #FraudTrends #Fraud #FraudRates #SiftFIBR #FIBRInsights #ATO #AccountTakeovers