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Fraud and transaction security

Fraud and transaction security software enables organizations to detect and prevent fraudulent activities and secure financial transactions.

Fraud and transaction security solutions help businesses mitigate risks associated with financial crimes, such as identity theft, payment fraud, and account takeovers. These systems use advanced analytics and AI to identify suspicious behavior, protect sensitive data, and ensure regulatory compliance, safeguarding revenue and brand reputation.

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31Verified suppliers
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Chief Risk Officer Chief Information Officer Fraud Operations Manager CFO Fraud Analyst

The challenge

Your organization faces an increasingly sophisticated and costly fraud landscape. Traditional security measures are easily bypassed by AI-powered attacks, resulting in significant financial losses, reputational damage, and regulatory penalties. Inadequate fraud prevention leads to false positives that frustrate legitimate customers, increasing churn and impacting revenue. Legacy systems struggle to keep pace with evolving threats, leaving your business vulnerable to both direct financial losses and long-term erosion of customer trust and competitive advantage.

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60% increase in fraud attempts over the past year
50 days average time to resolve an insider attack
$2M average cost of a single malware attack to a company

The solution

Fraud and transaction security addresses your unique challenges through modern solutions and key capabilities.

Behavioral biometrics

Replaces static passwords with analysis of user behavior like typing rhythm and mouse movement to distinguish between legitimate users and fraudsters.

Graph analytics

Visualizes relationships between accounts, devices, and IP addresses to identify complex fraud rings.

Explainable AI (XAI)

Provides transparency into automated decisions, which is essential for regulatory audits and forensic investigations.

Real-time orchestration

Allows risk teams to quickly deploy new rules and adjust machine learning thresholds to adapt to emerging fraud trends.

Cross-channel monitoring

Integrates data from multiple channels (mobile, web, physical) to detect multi-stage account takeover attempts.

Agentic investigation

AI agents automatically gather evidence from external sources to build comprehensive case files for analysts.

See how fraud and transaction security suppliers stack up

Our Palomarr Insights chart shows the full landscape of fraud and transaction security solutions.

  • See how companies stack up against each other
  • Get a detailed breakdown of each supplier
  • Compare 31 suppliers
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Capabilities Innovation

How to evaluate fraud and transaction security

1

Consortium data network

Evaluate whether the vendor shares anonymized fraud signals with other institutions in real time to improve detection accuracy.

2

API latency

Ensure the system can return a risk score in under 100ms, as latency directly impacts checkout abandonment rates.

3

Explainability tier

Confirm the system provides clear, understandable reason codes for every transaction denial to aid in regulatory compliance and investigations.

4

B2B payment verification

If relevant, verify the system can validate vendor bank details against a global database to prevent payment fraud.

Questions to ask suppliers

Use these questions during supplier evaluations to ensure you're choosing the right partner for your needs.

Fraud and transaction security RFP guide
  • How does your platform handle deepfakes in identity verification?
  • What level of explainability is provided for AI-driven decisions?
  • What is the typical implementation timeline for an enterprise with complex integrations?
  • How does your system verify vendor bank details to prevent Business Email Compromise?