Kasada protects websites, mobile apps and APIs from bots, scrapers, account fraud and unverified AI agents. It is built for online businesses such as retailers, airlines, travel and hospitality brands, financial services and media companies, where automated traffic drives credential stuffing, scalping, scraping and account takeover.
Its products share “one platform, one detection engine”, so the same signals that expose a bot also feed fraud analysis and agent verification.
At A Glance
| Vendor | Kasada |
|---|---|
| Category | Bot management, fraud prevention and AI agent trust |
| Identities covered | Bots, crawlers, AI agents and customer accounts interacting with websites, apps and APIs |
| Deployment | Client-side sensors with server-side analysis, enforcement upstream of customer systems |
| Agentic AI | AI Agent Trust |
| Customers | Hyatt, Flybuys |
| Certifications | AICPA SOC, PCI Security Standards Council |
| Market classification | Fraud Prevention |
What Kasada Does
Bot operators reverse-engineer the signals that many defences rely on, which pushes defenders back to CAPTCHAs that frustrate real customers. Kasada takes a different route: hidden challenges and client-side checks that need no CAPTCHA and no rules to maintain, so genuine users pass through without friction.
From that base the platform reaches into account-level fraud and AI agent traffic. The aim is to let a business welcome the automation it wants, such as approved AI shopping assistants, while blocking abuse and unapproved data extraction.
Products
Kasada Bot Defense
Bot Defense stops sophisticated bots, scrapers and automated attacks before they reach the business. It is for teams facing credential stuffing, scalping and scraping who cannot afford to add friction for real customers: hundreds of hidden sensors and Proof of Execution force attackers to run real browsers or mobile devices, which makes large-scale automation expensive, and users never see a CAPTCHA.
Kasada Account Intelligence And KasadaIQ For Fraud
Some fraud only shows up when you look across many logins. Account Intelligence detects coordinated fraud and repeat abuse across accounts, sessions and devices, helping fraud and trust teams spot the same actor behind several identities. KasadaIQ for Fraud adds early warning signs before fraud happens and protects business logic and customer data from bot-driven attacks.
Kasada AI Agent Trust
AI crawlers and shopping agents now make up a growing share of traffic, and some impersonate legitimate ones. AI Agent Trust verifies AI agents, detects impersonators and controls what crawlers, bots and agents can reach, down to the individual HTTP request. It is aimed at brands with proprietary content and those offering AI-assisted shopping, booking or ordering. Verification draws on a growing directory of recognised AI crawlers, assistants and agents and supports emerging standards such as Web Bot Auth. Access policies are secure by default, so a business can keep the AI services it values while blocking unapproved extraction of content or data.
How It Works
| Component | What it does |
|---|---|
| Invisible signal collection | Sensors in the browser or app detect bots from the first request, so malicious traffic is stopped before it hits the backend. |
| Client validation | Everything the client sends back is checked for automation and assessed for tampering. |
| Proof of Execution | Dynamic code paths run inside a heavily obfuscated virtual machine, so an attacker cannot fake the result without executing it in a real browser. |
| Upstream enforcement | Trust decisions for AI agents are applied before automated traffic reaches downstream systems. |
| Kasada Portal | Teams review verified agent activity, verification results, request patterns and endpoint interactions, with Custom Reporting for deeper analysis. |
Identities And Systems Covered
| Bots and scrapers | Automated traffic against websites, mobile apps and APIs. |
|---|---|
| AI agents | AI crawlers, assistants and agents, matched against a directory with vendor identity and category data. |
| Impersonators | Traffic that claims to be a known agent but fails verification. |
| Customer accounts | Abuse patterns across accounts, sessions and devices. |
| Protected systems | Websites, APIs and apps, with policies applied per endpoint. |
Company Background
| Founded | 2015, by Sam Crowther. |
|---|---|
| Headquarters | Sydney, Australia, with hubs in New York, Boston, Melbourne and San Francisco. |
| Leadership | Sam Crowther (Founder and CEO), Rob Goss (Chief Financial Officer). |
| Funding | More than $39 million in reported venture funding, with investors including In-Q-Tel, Main Sequence, OIF Ventures, Reinventure, StepStone Group and Ten Eleven Ventures. |
| Scale | A reported $150 billion of eCommerce and 250 million people protected daily. |
| Recognition | Included in the Forrester Wave for Bot and Agent Trust Management (Q2 2026); CyberSecurity Breakthrough Award 2025; SINET 16 Innovator Award 2023. |
Note: This overview is compiled from Kasada’s publicly available information as of 3 November 2026. It is provided for information only. NHI Mgmt Group does not endorse any vendor, and nothing on this page represents the opinions of NHI Mgmt Group.