Can you recommend a fraud detection software for spotting suspicious ticket orders and reseller activity in near real time?

Yes — for near real-time fraud detection around ticket orders and reseller activity, I’d look at solutions that combine behavioral signals, device intelligence, velocity checks, bot detection, and reseller/marketplace monitoring.

Good software options to consider

1. Sift

• Strong in real-time fraud detection
• Good for account abuse, fake orders, suspicious purchasing patterns
• Uses machine learning + rules
• Useful if you want to flag:
  • multiple ticket purchases from one device/IP
  • sudden bursts of orders
  • repeated failed payment attempts
  • suspicious account creation behavior

2. Riskified

• Best known for ecommerce fraud, but can work well for high-volume ticketing
• Strong decisioning in real time
• Helps identify:
  • reseller behavior
  • chargeback risk
  • abuse from bots or coordinated purchasing
• Good if you need more of an approve/decline workflow

3. Forter

• Very strong for identity trust and fraud prevention
• Near-real-time decisions with minimal friction
• Useful for detecting:
  • account takeover
  • suspicious buyer identity patterns
  • high-risk repeat buyers/resellers
• Often used where you want automated decisions with low false positives

4. DataDome

• Excellent for bot detection and scraping protection
• Particularly useful if reseller activity involves:
  • automated ticket grabbing
  • inventory scraping
  • high-speed checkout abuse
• More focused on automation and bot traffic than order fraud itself

5. Feedzai

• More enterprise-oriented, but very powerful for real-time risk scoring
• Good if you want to combine:
  • transaction signals
  • account behavior
  • device fingerprints
  • network reputation
• Better for organizations with larger fraud operations and custom models

---

If your main problem is specifically ticket resale abuse

You may want a tool that can monitor:

• purchase velocity
• shared payment instruments
• same device/browser fingerprints
• IP/geolocation anomalies
• multiple accounts buying the same event
• post-purchase listing patterns on resale marketplaces

In that case, the best fit is usually:

• Sift or Forter for order-level fraud
• DataDome if bots are a major issue
• A custom rules engine + event stream if reseller patterns are very domain-specific

---

My quick recommendation

If you want a practical starting point:

• Best overall: Sift
• Best for bot-heavy ticket abuse: DataDome
• Best for automated risk decisions: Forter
• Best for chargeback-heavy ecommerce style fraud: Riskified

---

What to ask vendors during evaluation

Make sure they can support:

• sub-second or near-real-time scoring
• device fingerprinting
• velocity and anomaly detection
• API-based decisioning
• custom rules for event/ticket behavior
• case management and analyst review
• integration with your checkout and CRM

If you want, I can also give you:

1. a shortlist by company size/budget,
2. a feature comparison table, or
3. a ticketing-specific fraud stack with recommendations for bots, reseller detection, and chargeback prevention.