Liminal

Every competitive gap analysis starts the same way: a spreadsheet with your product down one column and competitors across the top. Rows get filled in from vendor websites, analyst notes, and whatever the sales team heard on their last few losses. Green check, red X, yellow “partial.” Ship it to the roadmap meeting. Here’s the problem. That spreadsheet compares you to your competitors on a list of features that somebody chose.

NEW YORK, July 15, 2026. Liminal, the actionable intelligence company, and Unico, a global identity network, this week released Identity Fraud Intelligence: Trends & Insights, a co-authored report on how identity fraud is changing and what it now takes to defend against it. Its central finding is an economic one: the cost of running a sophisticated attack has fallen more than 100x, while the cost of defending against it keeps climbing.

Liminal verifies every signal with domain experts, scores it for Identity, Fraud, and Cybersecurity, and connects it directly to your rep's next conversation. Learn more about Liminal Intelligence What each platform actually does, capability by capability. Verification Verified by domain experts before it reaches your team. AI finds the signal, humans verify it. Built on first-party buyer research and market data.

The cost of running a sophisticated fraud attack has fallen by as much as 100x, while defending against one keeps getting more expensive. Attacks are cheaper, more synthetic, and more networked than ever, and the same fraudster rejected by one institution simply arrives at the next as a stranger. Meanwhile, 93% of teams say they trust their fraud models. The problem is what sits underneath that confidence: 92% admit legacy infrastructure lets signals slip.

Markets are messy. Buyers describe their problems in one language, vendors describe their products in another, regulators describe obligations in a third, and practitioners try to hold all of it in their heads at once. Finding trusted market intelligence is hard enough; agreeing on what we’re even looking at is harder still. That’s what a market taxonomy is for: one structure that connects what buyers need to what vendors offer, with regulations and market forces shaping the picture at every level.

Your product team evaluates whether to build, buy, or partner for a capability area on the roadmap. Multiple questions arise. Does this capability exist in the market? What are buyers actually prioritizing in this capability area? Which products are satisfying those requirements? Where is your competition covering ground you aren’t? The answers to these questions meant piecing together data points available across multiple views until now. The Use Case Visualizer makes that path explorable in one view.

Strategy leaders in Identity, Fraud, and Cybersecurity need to see how their market is structured before deciding where to compete. Which solution segments are crowded, which universes are emerging, and how are they reshaping the market picture. Getting that macro view required assembling a puzzle with pieces coming from multiple reports, analyst briefings, and internal research. The Landscape puts that market structure into a single navigable view.

NEW YORK, July 8, 2026 – The Liminal Platform’s intelligence layer gets richer and deeper with an expanded market taxonomy organized around the capabilities products deliver and the solutions they support, verified through the Expert Desk. New interfaces, including the Use Case Visualizer, a redesigned Landscape, and Discover with products surfaced from a verified catalog, make this taxonomy explorable across Identity, Fraud, Cybersecurity, AI Governance, and Digital Trust.

A good customer abandons a signup because you asked them to prove themselves one too many times. A fraudster, working the same flow, sits through every step and gets in. That happens every day, and it’s the clearest sign that something in how we think about fraud is broken. Fraud and user experience were never enemies. Friction was never security to begin with.

A customer you verify at signup does not stay the same for long. People move, switch jobs, change devices and phone numbers, open and close accounts. The identity check that recognized someone on day one is slowly describing a person who no longer quite exists, and most verification systems never go back to ask the question again. Closing that gap is the work I care about most.