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One security team cut false positives by 50% after moving to Kasada. Their customers stopped getting blocked, and their team stopped writing a new rule every time an attack changed. Find out where your bot defense may be falling short.

Attackers share tools, configurations, and playbooks before most organizations ever see the impact. KasadaIQ monitors those external signals and helps security teams understand what may be relevant to their business and what deserves investigation. Book a 30-minute threat-intelligence briefing. No access to your environment required. Just relevant intelligence and a clearer place to start.

The dashboard said clean. The traffic told a different story. One company discovered that up to 90% of traffic on key endpoints was bots activity its existing provider had classified as clean. If your bot defense were missing something, how would your team know?

Imagine learning that up to 90% of your traffic was bots, not from your current provider, but from the tool evaluating what it allowed through. That happened to one enterprise before moving to Kasada. The expensive part isn’t always the attack you see. Sometimes it’s trusting the traffic you shouldn’t.

“Agentic payments” “Autonomous commerce” That’s where the industry is heading, and it’s exactly what will be discussed at the Airline & Travel Payments Summit 2026 in Dublin. But there’s a harder question underneath all of it: 𝘞𝘩𝘢𝘵 𝘩𝘢𝘱𝘱𝘦𝘯𝘴 𝘸𝘩𝘦𝘯 𝘢𝘨𝘦𝘯𝘵𝘴 𝘥𝘰𝘯’𝘵 𝘫𝘶𝘴𝘵 𝘵𝘳𝘢𝘯𝘴𝘢𝘤𝘵… 𝘣𝘶𝘵 𝘵𝘩𝘦𝘺 𝘣𝘦𝘩𝘢𝘷𝘦 𝘭𝘪𝘬𝘦 𝘳𝘦𝘢𝘭 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳𝘴? Across airlines, we’re already seeing early signs: ✔️ payment flows being tested at scale by automated actors ✔️ loyalty accounts targeted through “normal-looking” behavior ✔️ booking journeys executed in ways that look legitimate but aren’t This isn’t traditional fraud. And it doesn’t start in payments. Because by the time it reaches payments… the signal is already compromised. The teams that get ahead of this aren’t just asking “𝘩𝘰𝘸 𝘥𝘰 𝘸𝘦 𝘢𝘤𝘤𝘦𝘱𝘵 𝘢𝘨𝘦𝘯𝘵𝘪𝘤 𝘱𝘢𝘺𝘮𝘦𝘯𝘵𝘴?” They’re asking: → What is 𝗿𝗲𝗮𝗹 𝗱𝗲𝗺𝗮𝗻𝗱 𝘃𝘀. 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 activity? → Where is 𝗿𝗲𝘃𝗲𝗻𝘂𝗲 𝗯𝗲𝗶𝗻𝗴 𝗱𝗶𝘀𝘁𝗼𝗿𝘁𝗲𝗱 before we even see fraud? → How do we 𝗽𝗿𝗼𝘁𝗲𝗰𝘁 𝘁𝗵𝗶𝘀 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗮𝗱𝗱𝗶𝗻𝗴 𝗳𝗿𝗶𝗰𝘁𝗶𝗼𝗻 to actual travelers? Kasada will be at the Loyalty Security Alliance Spring Conference, hosted as part of Airline Information’s Airline & Travel Payments Summit 2026 and Mega Event 2026. Excited to talk with airline leaders across loyalty, fraud, and payments about exactly this. If you’re attending, worth comparing notes. Would love to connect in-person! #ATPS2026 #LoyaltyPrograms #FraudPrevention #TravelPayments

I know what the cred stuffing groups did last Friday. The stats: Six major groups. 235 coordinated attacks across Black Friday. We tracked every single one. 𝗕𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱 After IQT's investment, we built something different - an intelligence function with more in common with real-world espionage than traditional cyber threat intel. Our analysts operate embedded within fraud communities themselves. Not monitoring from the outside. We're watching them plan their next breach in real-time. Here's why this matters: fraudsters tell us who they're attacking. 𝗕𝗹𝗮𝗰𝗸 𝗙𝗿𝗶𝗱𝗮𝘆 𝗱𝗮𝘁𝗮 This chart tracks six groups across Black Friday - when they struck and how many targets. This is TLP:Green intelligence. Black Friday traffic creates the perfect storm: legitimate shoppers and credential stuffers look identical. These groups specifically target sleeping shepherds - companies they've already profiled as unlikely to detect or stop account takeover attacks. The surge provides cover. Your customers' accounts get drained. Your metrics look normal. Your fraud team is left to clean up the mess See if your company appears in the TLP:Amber intelligence. DM me.