Vericent Insights

Latest insights, research, and thought leadership

Synthetic Identity Fraud in 2026: Why It's Now the Costliest Threat at Onboarding

Synthetic Identity Fraud in 2026: Why It's Now the Costliest Threat at Onboarding

FinCEN's own 2024–2026 alerts show synthetic identity fraud accelerating fast. See why onboarding is the new battleground, and how continuous behavioral monitoring closes the gap.
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Agentic AI Fraud: How Enterprises Can Defend Against Automated Attacks in 2026

Agentic AI Fraud: How Enterprises Can Defend Against Automated Attacks in 2026

Agentic AI is changing how fraud attacks are built and run. See why enterprises need continuous, behavioural, real-time defenses in 2026 and how to get there.
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Mule Account Detection 2026: How AI Finds What Monitoring Misses

Mule Account Detection 2026: How AI Finds What Monitoring Misses

Money mule cases rose 69% in H1 2026. AI detects mule networks at onboarding and beyond, here is what the FCA found, and what the detection gap is costing institutions.
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APP Fraud Liability Shift: What the UK's PSR Reimbursement Rules Mean for Fraud Architecture in 2026

APP Fraud Liability Shift: What the UK's PSR Reimbursement Rules Mean for Fraud Architecture in 2026

The PSR's mandatory APP fraud reimbursement scheme has changed who pays when fraud succeeds. Here is what the liability shift means for fraud architecture in 2026.
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Australia's AML/CTF Framework Has Entered a New Era

Australia's AML/CTF Framework Has Entered a New Era

Australia's AML/CTF reforms are now live. Learn what changed, who is affected, and why risk-based monitoring is becoming essential for regulated businesses.
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The Fraud Landscape in 2027: What AI Anomaly Detection Must Do Next to Stay Ahead

The Fraud Landscape in 2027: What AI Anomaly Detection Must Do Next to Stay Ahead

Cybercrime will cost $24 trillion by 2027. Agentic AI fraud is already live. Here is what AI anomaly detection must evolve to do, and what the 2026 data tells us about 2027
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Model Governance for AI Fraud Systems: Building the Audit Trail That Regulators Now Demand

Model Governance for AI Fraud Systems: Building the Audit Trail That Regulators Now Demand

SR 26-2 replaces SR 11-7 in April 2026. SS1/23 and the EU AI Act follow. Regulators now demand explainable, auditable AI fraud models.
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From Rules to Reasoning: How Machine Learning Eliminates the False Positive Crisis in Enterprise Fraud

From Rules to Reasoning: How Machine Learning Eliminates the False Positive Crisis in Enterprise Fraud

Rule-based fraud systems generate false positives that cost institutions billions and erode customer trust. Machine learning changes the logic entirely. Here is how.
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Privacy-Preserving AI in Fraud Detection: How to Build Models That Regulators and Data Teams Both Accept

Privacy-Preserving AI in Fraud Detection: How to Build Models That Regulators and Data Teams Both Accept

GDPR, EU AI Act, and fraud detection AI now converge into one compliance challenge. Learn what regulators require, and how privacy-preserving techniques resolve the tension.
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Behavioural Anomaly Detection: How AI Stops Account Takeover Before the Password Is Stolen

Behavioural Anomaly Detection: How AI Stops Account Takeover Before the Password Is Stolen

Account takeover bypasses passwords entirely. Behavioural anomaly detection flags the attacker before the first fraudulent transaction. See how and why it matters now.
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