Fraud Detection Software

Modern Digital Trust + Safety leader across payments, account, and content surfaces.

Sift is the modern fraud detection category leader, founded 2011. Last raised $50M+ in 2021 with backing including Insight Partners, with prior 2016 Series D ($30M) and 2019 round at over $1B. The product is positioned as a Digital Trust + Safety platform covering payment fraud, account fraud, content abuse, promo abuse, and dispute automation. Strengths: broad surface coverage in one platform (payments + account + content + promo), strongest cross-merchant network signal in modern fraud, mature AI-driven scoring (Sift uses a unified machine-learning model fed by network-wide signal), workflows builder for risk-ops customization, and clear developer experience. Best fit for fintech, marketplaces, and digital-first commerce wanting one fraud platform across multiple risk surfaces. Trade-offs: pricing is meaningful and scales with event volume (mid-market deals commonly land $100K-$400K/year), Support quality varies by tier, and AML coverage is shallower than Sardine or ComplyAdvantage so AML-heavy fintechs often run a second vendor.

Fraud module of Stripe, bundled with payments for digital-first commerce.

Stripe Radar is the fraud module of Stripe, the payments platform last valued $91.5B in February 2024. Radar runs natively against the Stripe ledger and uses signal from the Stripe network (hundreds of billions of dollars in processed volume) to score payment risk. Strengths: native to Stripe payments (no separate integration if you already process with Stripe), strong network signal from Stripe-wide transaction data, public pricing (Radar for Fraud Teams at 5 cents per screened transaction on top of payment fees), clean developer experience consistent with Stripe SDKs, and minimal incremental engineering once Stripe is integrated. Best fit for digital-first commerce, SaaS, and fintech that already runs on Stripe. Trade-offs: only covers Stripe-processed payments (does not score off-Stripe events like login, signup, or non-payment risk), customization depth below Sift, and rules-engine UX is more constrained than dedicated risk-ops platforms.

Modern unified fraud + AML platform with device intelligence and behavioral biometrics.

Sardine is the modern unified fraud + AML platform, founded 2020 by ex-Coinbase, ex-Revolut, and ex-PayPal operators. The company raised $70M Series C in 2024 with cumulative funding north of $250M including Andreessen Horowitz, Visa, and Activant. The product combines device intelligence, behavioral biometrics, transaction monitoring, sanctions screening, and case management in one platform. Strengths: fraud + AML unified (rare in the category), modern behavioral biometrics and device intelligence, strong fit for fintech and crypto, fast time-to-value relative to legacy AML stacks, and aggressive product velocity. Best fit for fintech, crypto, and neobanks wanting fraud + AML in one vendor. Trade-offs: smaller installed base than Sift, e-commerce coverage shallower than Forter / Signifyd / Riskified, and pricing is opaque (typical $80K-$300K/year mid-market deals).

AML and sanctions screening specialist for fintech and regulated buyers.

ComplyAdvantage is the AML and sanctions screening specialist, founded 2014 in London. The company raised a $70M Series C extension in 2022 putting cumulative funding past $462M, with investors including Goldman Sachs, Ontario Teachers, and Index Ventures. The product covers sanctions screening, PEP screening, adverse media monitoring, transaction monitoring, and customer due diligence. Strengths: AML-specialist depth (sanctions, PEP, adverse media curated by ComplyAdvantage in-house), strong fit for fintech and regulated buyers, GDPR-native (UK origin), and clear AML compliance positioning. Best fit for fintech, payments firms, and regulated buyers where AML is the primary need. Trade-offs: pure-play AML (does not cover payment fraud scoring or e-commerce chargeback), Support depends on tier, and integration with broader fraud stacks requires a second vendor.

E-commerce chargeback guarantee leader; public-market struggles signal category shift.

Riskified is the e-commerce chargeback guarantee leader, founded 2012 in Tel Aviv. The company IPOed on NYSE in July 2021 at a peak market cap above $7B. As of 2026 the stock has declined roughly 80% from that 2021 IPO peak, and the public-market read on guarantee-based e-commerce fraud economics is increasingly skeptical, weigh vendor stability before signing multi-year commits. The product covers e-commerce payment fraud with a chargeback guarantee model (Riskified absorbs the chargeback if it approves a transaction that turns out fraudulent). Strengths: deep e-commerce specialization, chargeback guarantee shifts risk off the merchant, mature Shopify Plus / Magento / Salesforce Commerce integration, and strong Tier 1 retailer installed base. Best fit for mid-market and enterprise e-commerce retailers wanting chargeback guarantee. Trade-offs: stock decline raises vendor-stability questions, narrower than Sift outside e-commerce, pricing scales with approved transaction volume, and guarantee model economics have come under pressure since 2022.

Enterprise e-commerce fraud with cross-merchant network signal.

Forter is the enterprise e-commerce fraud platform, founded 2013. The company raised a Series F in 2022 at a $3B valuation, with 2024 secondary-market disclosures indicating the valuation has softened though Forter remains a credible enterprise pick. The product covers e-commerce payment fraud, policy abuse, account takeover, and chargeback guarantee, anchored on a cross-merchant identity graph. Strengths: cross-merchant network signal across the Forter merchant base, mature enterprise installed base, strong fit for Tier 1 retailers, payment-method-agnostic (works across Adyen, Braintree, Stripe, Worldpay), and identity-graph approach to fraud decisioning. Best fit for enterprise e-commerce retailers wanting a fraud platform agnostic of payment processor. Trade-offs: pricing meaningful and scales with transaction volume, $3B valuation softened in 2024 secondaries (factor stability for multi-year commits but less acute than Riskified), e-commerce-focused (narrower than Sift outside payment fraud), and Support depends on tier.

E-commerce fraud with chargeback guarantee for mid-market retailers.

Signifyd is the e-commerce fraud platform with a chargeback guarantee model, founded 2011. The company raised a $205M Series E in 2021 at a $1.34B valuation. The product covers e-commerce payment fraud, account takeover, and chargeback guarantee, with strong Shopify and Magento ecosystem positioning. Strengths: mid-market retailer fit, chargeback guarantee model, strong Shopify Plus / Magento / BigCommerce / Adobe Commerce integrations, and clean implementation experience. Best fit for mid-market e-commerce retailers (200-5,000 employees) wanting chargeback guarantee at lower TCO than Riskified / Forter. Trade-offs: narrower than Sift outside e-commerce, smaller installed base than Forter / Riskified at the very top of enterprise, Support consistency reported as variable, and guarantee economics share some of the same category pressure as Riskified.

Legacy fraud platform inside Equifax; broad footprint, slowing innovation.

Kount is the legacy fraud detection platform, founded 2007 in Boise. Equifax acquired Kount in February 2021 for $640M, and the product now sits inside the Equifax data and identity portfolio. Kount covers payment fraud, account takeover, dispute management, and identity trust, with deep historical penetration in banks, processors, and mid-market merchants. Strengths: very broad bank and merchant footprint, mature rules engine, deep historical transaction data inside Equifax, and integration with the Equifax identity stack. Best fit for buyers prioritizing integration depth with Equifax identity, or for incumbents already on Kount where the rip-and-replace cost outweighs modern alternative gains. Trade-offs: innovation pace has slowed noticeably since the Equifax acquisition (consistent customer complaint), modern AI feature set lags Sift / Sardine, Support has been reported as inconsistent post-acquisition, and the platform has the feel of a legacy product more than a category leader.

Bot management plus account fraud differentiator.

Arkose Labs is the bot management and account fraud platform, founded 2016. The company raised a Series E in 2024 with a roughly $200M round, cumulative funding above $300M, with backing including SoftBank Vision Fund and PayPal Ventures. The product is anchored on bot detection and challenge-based deterrence (Arkose MatchKey, formerly FunCaptcha), with a fraud platform layered on top covering credential stuffing, account takeover, scraping, and new-account fraud. Strengths: best-in-class bot detection (used by Microsoft, Roblox, and large gaming / consumer platforms), challenge-based deterrence model that monetizes the attacker cost, strong fit for buyers facing scaled bot-driven attacks, and clean developer integration. Best fit for consumer platforms, gaming, and large-scale digital services facing bot-driven attacks at scale. Trade-offs: bot-management heritage means payment fraud scoring is narrower than Sift / Forter, challenge-based UX adds friction (controversial with conversion-sensitive merchants), and pricing is opaque and scales with challenged event volume.

Developer-friendly security + fraud APIs for product engineering teams.

Castle is the developer-friendly security and fraud platform, founded 2014. The product covers device fingerprinting, behavioral biometrics, account takeover detection, registration fraud, and risk-based authentication via clean APIs and SDKs. Strengths: clean developer experience (API-first, well-documented SDKs), affordable pricing relative to Sift / Sardine for early-stage and mid-market, dual security + fraud positioning (works for product security teams as well as risk-ops), and fast time-to-value for engineering-led adoption. Best fit for product engineering teams at SaaS, fintech, and consumer companies (25-1,000 employees) who want fraud detection without a heavy enterprise sales motion. Trade-offs: smaller installed base than Sift / Sardine, e-commerce coverage shallower than Forter / Signifyd / Riskified, no chargeback guarantee model, and AML coverage absent.