LexisNexis Risk Solutions

LexisNexis Risk Solutions released findings from its 2026 Global Cybercrime Report analyzing 116.1 billion transactions. Report highlights include 59% jump in automated bot attacks that now mimic human behavior, 89% YoY increase in login attack rates, and $442 billion in estimated global fraud losses (2025). Findings framed around fintech fraud prevention webinar in Asia.

Leadership read: The report's operational weight sits in what the transaction data reveals about where fraud controls are failing, not just that fraud is rising. Analysing 116.1 billion transactions, LexisNexis has documented a structural shift: the attack surface has migrated away from onboarding, where identity verification investment has been heaviest, toward authenticated sessions, with login attack rates nearly doubling year-on-year. Simultaneously, authorised push payment fraud has reached a scale where technical controls are largely irrelevant; the customer is authentic, the device is genuine, and the authorization is real. That combination commits any institution using this data to rebuilding fraud logic around behavioral signals and post-authentication monitoring rather than front-door identity checks alone. The related signals we have tracked over the last 90 days are thinly matched to this specific theme, the comparable set is dominated by unrelated product launches across defense, consumer goods, and quantum hardware. However, the fintech-adjacent signals, including BNY's expansion of institutional digital asset custody and N3XT's MCP-enabled B2B payments infrastructure, point to a consistent underlying dynamic: financial institutions are extending the transaction perimeter into new channels and protocols faster than risk architecture is following. That gap is precisely where the LexisNexis data is most alarming. Across fintechs and financial institutions operating in Asia's cross-border and embedded finance corridors, this pattern is concentrating demand for risk and product leadership with behavioral analytics depth, specifically operators who can design friction-calibrated trust layers that function across heterogeneous regulatory regimes. APAC's fragmented licensing environment makes this harder than equivalent work in Europe or North America. Commercial and product leadership at the seam between fraud operations and customer experience is where the functional pressure is sharpest.

curated · 2026-07-31 · context →

LexisNexis Risk Solutions and Promon announced a strategic alliance combining LexisNexis ThreatMetrix digital identity intelligence with Promon Shield in-app protection to strengthen mobile fraud prevention globally.

Leadership read: The operational consequence here is architectural, not commercial. By fusing Promon's in-app telemetry and tamper-resistant signal collection directly into the LexisNexis Risk Intelligence Network, the alliance closes a gap that neither party could resolve unilaterally: ThreatMetrix's behavioural and device intelligence historically depended on clean signals reaching it from the client layer, but a compromised or tampered mobile environment corrupts those signals at source. The partnership moves the defensive perimeter inside the application itself, which is a different design commitment than adding an API integration at the edge. This is one of 12 partnership signals we have tracked in the last 90 days across fintech and adjacent verticals. The related signals in that set are broadly distributed, export programs, esports apparel, semiconductor AI collaborations, and none maps cleanly onto mobile fraud infrastructure, which makes the LexisNexis/Promon move relatively isolated rather than part of a dense cluster. That said, the broader directional pattern across fintech risk is consistent: point-solution vendors are consolidating capabilities through alliance rather than acquisition, compressing the gap between device-layer protection and network-level decisioning. Companies operating at this seam, where mobile app integrity, behavioural biometrics, and fraud decisioning converge, face rising demand for commercial and product leadership with cross-vendor ecosystem fluency, alongside technical risk and partnership operations leaders capable of governing joint-data architectures across jurisdictions with differing privacy regimes.

curated · 2026-06-30 · context →

LexisNexis Risk Solutions launched a suite of motor claims data intelligence solutions in the UK, including Claims Datafill, Windscreen Check, and Vehicle Insights for Claims. The offering integrates across the full claims journey via a single API to address data fragmentation and manual inefficiencies.

Leadership read: The launch commits LexisNexis Risk Solutions to something structurally different from its prior positioning in UK motor insurance: it is now a workflow layer across the full claims journey, not just a point-of-underwriting data supplier. Delivering three distinct products through a single API, covering FNOL prefill, ADAS-aware windscreen triage, and real-time vehicle validation, means the firm has taken on integration accountability across insurers, MGAs, repair networks, credit hire organisations, and salvage operators simultaneously. That is a multi-sided ecosystem play, and it creates a dependency structure the company did not publicly hold before. The related signals provided are thin on direct comparables; most of the 12 tagged product launches in the last 90 days span unrelated verticals. The honest read is that this sits in a narrower category, insuretech data infrastructure, where comparable momentum is visible but not well-represented in the current set. What context exists points to a consistent pattern: data platforms in regulated financial services are consolidating fragmented point solutions into single-API propositions that serve multiple ecosystem participants rather than a single buyer type. Across companies executing at this stage in claims-data infrastructure, the functional pressure concentrates in a few areas: product leadership capable of managing multi-sided integration dependencies; partnerships and commercial operations skilled in ecosystem contracting across parties with misaligned incentive structures; and regulatory and data-governance capability to maintain compliance as real-time personal and vehicle data flows across a wider supply chain.

curated · 2026-06-24 · context →

LexisNexis launched Location Intelligence for Home, an AI-driven property risk model for home insurers using neural networks and claims data to predict property-level insurance risk across six key perils

Leadership read: The operational consequence here is not the model itself, it's the workflow integration. Embedding Location Intelligence directly into Smart Selection means LexisNexis has shifted from selling a data layer to owning a decision node inside the underwriting process. Insurers using the platform no longer pull risk data and apply judgment separately; the assessment is built into the moment of commitment. That is a different commercial relationship: stickier, more auditable, and harder to displace. The non-weather water data point (24% of claims, largely invisible to exterior inspections) is the specific gap the model closes, and closing it at the property level is what justifies the workflow position rather than a bolt-on score. This is one of twelve product-launch signals we have tracked across the relevant period, though the comparable set is thin on direct insurtech or property-risk parallels, most related signals sit in unrelated verticals. Within insurtech specifically, the directional pattern is consistent with activity from AI-native underwriting platforms moving toward embedded, workflow-native risk decisioning rather than standalone analytical tools. The LexisNexis move accelerates that frame for incumbent data providers. Across companies operating at this intersection of AI model development and regulated insurance workflows, demand is concentrating in three functional areas: product leadership that can manage model governance and state-by-state filing complexity, commercial leadership experienced in selling into carrier underwriting teams rather than IT buyers, and risk and compliance operations capable of sustaining regulatory relationships as predictive models expand across additional states and peril categories.

curated · 2026-05-15 · context →