Detect financial fraud, investment scams, phishing attempts, and cryptocurrency fraud in real time. Ensure SEC and FCA regulatory compliance while maintaining safe messaging environments across payment platforms, trading forums, and fintech applications.
Fraud Detection Rate
Screening Latency
Transactions Scanned
Financial platforms face a unique threat landscape where fraudulent content can cause direct monetary losses, regulatory violations, and irreparable damage to institutional trust. Standard moderation tools lack the contextual understanding of financial language, regulatory frameworks, and evolving fraud tactics required to protect users and maintain compliance in this high-stakes environment.
Identify and flag sophisticated financial fraud schemes embedded in user-generated content, including Ponzi scheme promotions, advance-fee fraud solicitations, fake investment opportunities, and deceptive financial product endorsements. Our AI models understand the subtle linguistic patterns that distinguish legitimate financial discussion from fraudulent solicitations, examining urgency cues, unrealistic return promises, and pressure tactics that characterize modern digital financial fraud.
Detect and prevent investment scams ranging from fake securities offerings and fraudulent ICOs to unlicensed financial advisory services. Our models recognize the hallmarks of investment fraud including guaranteed high returns, pressure to act immediately, requests for untraceable payments, and impersonation of legitimate financial institutions. The system cross-references known scam patterns with emerging tactics, adapting in real time to new investment fraud vectors across social trading platforms, forums, and messaging channels.
Intercept phishing attacks targeting financial platform users before credentials and sensitive financial data are compromised. Our system analyzes URLs, email content, in-app messages, and chat communications for phishing indicators including spoofed domains, credential harvesting pages, fake login prompts, and social engineering language designed to trick users into revealing banking credentials, credit card numbers, or personal identification information used for account takeover attacks.
Combat the rapidly evolving landscape of cryptocurrency fraud including rug-pull promotions, fake token launches, fraudulent exchange impersonation, and manipulative crypto influencer schemes. Our specialized crypto-fraud models understand blockchain-specific terminology, DeFi protocol mechanics, and the distinctive patterns of token pump schemes. The system detects wallet-drainer links, fake airdrop announcements, impersonated project accounts, and coordinated shill campaigns designed to manipulate digital asset prices.
Screen messaging content on payment platforms like peer-to-peer transfer services, digital wallets, and payment processing applications. Detect disguised payments for prohibited goods or services, money mule recruitment messages, and social engineering attacks embedded in payment notes and descriptions. Our system understands context-specific risks including coded language in transaction memos, suspicious recurring payment patterns, and attempts to circumvent platform safety controls through creative message formatting.
Monitor social trading platforms where users share strategies, copy trades, and discuss market positions. Ensure content complies with financial promotion regulations, prevents unlicensed financial advice, and detects coordinated market manipulation through social features. Our system identifies misleading performance claims, undisclosed conflicts of interest, and deceptive trading signals while preserving legitimate community discussion and educational content sharing among retail investors.
Financial fraud rarely operates in isolation. Modern scam operations leverage interconnected networks of fake accounts, coordinated messaging campaigns, and cross-platform strategies to maximize their reach and evade traditional detection methods. Our AI-powered fraud detection network maps the relationships between suspicious actors, content patterns, and behavioral signatures to identify and dismantle fraud operations at their source, rather than merely flagging individual pieces of content.
The system builds real-time threat intelligence graphs that connect seemingly unrelated fraudulent activities. When a new investment scam surfaces on one platform, our network identifies related accounts, similar content templates, and shared infrastructure across the entire digital financial ecosystem. This interconnected approach provides financial institutions with unprecedented visibility into organized fraud campaigns that would otherwise slip past content-level screening tools operating in isolation.
Automatically map relationships between suspicious accounts, shared content templates, and coordinated posting behaviors across financial platforms to expose organized fraud rings.
Analyze temporal patterns, linguistic fingerprints, and operational signatures to identify professional fraud operations even when they use novel content and fresh accounts.
Detect emerging fraud campaigns in their earliest stages through pattern recognition and anomaly detection, giving compliance teams time to act before significant losses occur.
Automatically disable fraud network nodes by identifying and neutralizing key accounts, domains, and distribution channels that form the backbone of organized financial scams.
Financial platforms operate under some of the most stringent regulatory frameworks in any industry. Our compliance checkpoint pipeline screens every piece of user-generated content against a comprehensive matrix of regulatory requirements spanning multiple jurisdictions, ensuring that your platform stays ahead of evolving obligations while minimizing friction for legitimate users and their communications.
Automated screening against Securities and Exchange Commission and Financial Conduct Authority regulations ensures all user-generated content on your platform meets disclosure requirements, avoids prohibited financial promotions, and complies with securities laws governing the communication of investment information to the public. Our system tracks regulatory updates in real time and adjusts screening criteria automatically, so your platform remains compliant even as rules evolve across different regulatory bodies and jurisdictions including FINRA, MiFID II, MAS, and ASIC.
Distinguish between casual financial discussion and regulated financial advice with precision. Our classifiers detect when users cross the line from sharing personal experiences into providing specific investment recommendations, tax strategies, or financial planning guidance that may require professional licensing. The system flags unlicensed advisory content, ensures proper disclaimers are present on financial opinions, and protects consumers from unqualified guidance that could lead to poor financial decisions or regulatory action against your platform for facilitating unauthorized advisory services.
Identify coordinated pump-and-dump campaigns targeting micro-cap stocks, penny stocks, and cryptocurrency tokens. Our models analyze posting patterns, volume anomalies, sentiment manipulation tactics, and network coordination to detect schemes at their earliest stages. The system recognizes characteristic language patterns used to artificially inflate asset prices, including exaggerated growth claims, manufactured urgency, and coordinated positive sentiment across multiple accounts, protecting your platform users from becoming unwitting participants in market manipulation schemes.
Detect content indicators associated with money laundering activities including structuring discussions, layering technique coordination, and suspicious transaction facilitation. Our system identifies coded language used to discuss money transmission, recognizes patterns associated with smurfing recruitment, and flags communications that reference common laundering mechanisms. Integrated with AML compliance workflows, our content flags generate actionable intelligence that compliance teams can use to file Suspicious Activity Reports and support ongoing investigations into financial crime networks.
Enhance your Know Your Customer processes with AI-powered document analysis that detects fraudulent identity documents, manipulated images, and inconsistencies in submitted verification materials. Our system cross-references document features against known fraud patterns, identifies digitally altered documents, and flags submission anomalies that suggest identity fraud. Supporting over 10,000 document types across 200 countries, the system reduces manual review burden while improving detection rates for synthetic identities, stolen credentials, and forged documentation used to bypass KYC requirements.
Identify communications that may indicate insider trading activity through analysis of linguistic patterns, temporal correlations with market events, and behavioral indicators associated with material non-public information sharing. Our models detect coded references to upcoming corporate actions, suspicious precision in stock price predictions, and coordinated trading discussions that precede significant market movements. The system provides compliance teams with detailed evidence packages that support regulatory investigations while protecting legitimate market analysis and opinion sharing.
Every piece of content on your financial platform carries a risk profile that extends beyond simple policy violations. Our dynamic risk scoring system evaluates content across multiple dimensions simultaneously -- financial regulatory risk, fraud probability, market manipulation potential, consumer harm likelihood, and reputational impact -- to produce a comprehensive risk score that empowers your compliance and moderation teams to prioritize their efforts where they matter most.
The risk scoring dashboard provides real-time visibility into platform health, trend analysis for emerging threat categories, and predictive risk indicators that anticipate problems before they escalate. Financial institutions using our risk scoring system report an average 73% reduction in time spent on false-positive investigations and a 91% improvement in identifying high-severity threats that require immediate human review and regulatory reporting. The system continuously refines its scoring models through feedback loops, ensuring accuracy improves with every moderation decision made on your platform.
Fraud content detection accuracy across all financial categories
Reduction in false positives versus keyword-based screening tools
Average risk score computation for real-time transaction screening
Financial institutions trusting our moderation infrastructure globally
The explosion of peer-to-peer financial services and user-review-driven financial product discovery has created new attack surfaces that traditional financial moderation cannot address. From weaponized payment message fields to orchestrated review manipulation campaigns targeting financial products, these threats require specialized detection models trained on the unique patterns of abuse that emerge when social and financial features converge.
Our peer-to-peer payment message screening system analyzes millions of transaction notes and messaging interactions daily, detecting everything from coded language for prohibited transactions to social engineering attempts that exploit the trust inherent in payment platforms. Simultaneously, our review fraud detection system identifies coordinated campaigns to manipulate ratings for financial products including loans, insurance policies, credit cards, and investment platforms, protecting consumers from deceptive marketing and maintaining the integrity of financial product comparison ecosystems.
The system recognizes sophisticated review fraud tactics including incentivized reviews, competitor sabotage campaigns, fake verified purchase reviews, and review-gating schemes that violate consumer protection regulations. By combining linguistic analysis with behavioral patterns and network detection, our models achieve significantly higher accuracy than traditional duplicate-content or sentiment-based review fraud detection approaches, helping financial product platforms maintain consumer trust and regulatory compliance.
Screen peer-to-peer payment messages for prohibited content, coded transaction references, and social engineering attacks that exploit trusted payment channels for illicit purposes.
Identify fake, incentivized, and coordinated review campaigns targeting financial products with multi-signal analysis combining text, timing, and reviewer behavior patterns.
Protect consumers from deceptive financial product marketing, undisclosed affiliate promotions, and misleading comparison content that violates fair lending and advertising regulations.
Maintain comprehensive, regulator-ready audit trails for all moderation decisions, including evidence preservation, decision rationale documentation, and automated compliance reporting.
Our transaction safety flow integrates content moderation at every stage of the financial interaction lifecycle, from initial user onboarding and identity verification through ongoing communication monitoring and post-transaction review. This comprehensive approach ensures no fraudulent content slips through gaps between siloed systems.
All user-generated content including messages, profiles, reviews, forum posts, and transaction descriptions is captured and normalized for analysis within 10 milliseconds of submission.
Parallel processing through specialized financial fraud, regulatory compliance, market manipulation, and consumer protection models generates comprehensive threat assessments in under 45 milliseconds.
Composite risk scores determine automated actions for clear cases while routing ambiguous content to specialized human review queues organized by financial threat category and severity level.
Enforcement actions are executed while generating compliance documentation, SAR filing support materials, and feedback signals that continuously improve model accuracy across all financial threat categories.
Process financial content at the speed of digital transactions. Our infrastructure handles peak loads during market hours, product launches, and trading events without latency degradation, ensuring protection never compromises user experience or transaction throughput even at massive scale.
SOC 2 Type II certified infrastructure with end-to-end encryption, data residency controls, and zero-trust architecture. All content processing occurs in isolated environments with no persistent storage of financial data, meeting the most stringent security requirements of global banking institutions.
RESTful APIs, SDKs for major programming languages, and pre-built connectors for popular fintech platforms enable deployment in hours, not months. Native integrations with compliance management systems, SIEM platforms, and case management tools create a unified financial safety ecosystem.
Common questions about AI content moderation for financial services, fintech platforms, and regulatory compliance.
Join the 200+ financial institutions using our AI-powered content moderation to detect fraud, ensure compliance, and protect their users from financial crime.