Kasada Tech Stack

Bot defense platform for web, mobile, and API channels

Computer and Network Security New York, New York 51–200 employees Founded 2015 Privately Held

Kasada detects and blocks automated attacks using behavioral analysis rather than traditional blocklists or CAPTCHAs. The stack reveals an analytics-heavy architecture: Kafka pipelines feed ClickHouse and Elasticsearch for real-time threat detection, while SageMaker points toward ML-driven classification at scale. Active projects span bot detection deployments, real-time metrics, and predictive detection—indicating the company is shifting from reactive rule-based mitigation toward proactive behavioral modeling as bot attacks grow more sophisticated.

Tech Stack 25 technologies

Core StackCloudFront Cloudflare Akamai AWS Kafka Apache Flink ClickHouse Kubernetes AWS RDS Redis Splunk Elasticsearch Node.js SageMaker JavaScript TypeScript Docker HubSpot Kafka Connect Amazon Athena AWS EKS Kinesis Athena Jupyter Buildkite

What Kasada Is Building

◆Challenges

Preventing bot attacks
Bot attacks causing billions of damages
Eliminating latency bottlenecks
Transitioning from etl warehouse
Achieving sub-second query performance
Scaling high traffic workloads
Cost efficient infrastructure
Incident response sustainability
Defending against fraud and malicious automation
Preventing bot-induced damages

▲Active Projects

Proof-of-concept engagements
Bot management platform deployment
Bot detection platform deployment
Data platform modernization
Real-time portal metrics
Internal diagnostic tool
Cloud compute platform
Engineering foundations
Operational management of stateless and stateful systems
Predictive detection capabilities within account intelligence

Hiring Activity

Accelerating9 roles · 6 in 30d

Department

Sales

Engineering

Security

Data

Executive

Seniority

Senior

Mid

Lead

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About Kasada

Kasada provides bot management and fraud prevention for enterprises across web, mobile, and API surfaces. Founded in 2015, the company operates with 51–200 employees headquartered in New York. The platform analyzes behavioral patterns to distinguish legitimate users from automated threats, removing the friction of CAPTCHAs while maintaining security. Customers range from e-commerce to financial services, where bot-driven fraud and credential stuffing cause operational damage. Kasada's pitch centers on protecting revenue and customer experience without degrading either.

HeadquartersNew York, New York

Company Size51–200 employees

Founded2015

Hiring MarketsUnited States, Australia

Frequently Asked Questions

What tech stack does Kasada use?

Kasada runs on AWS (CloudFront, EKS, RDS, Kinesis, SageMaker), uses Kafka for streaming, ClickHouse and Elasticsearch for search/analytics, and leverages Kubernetes, Docker, and Node.js/TypeScript for application delivery. Splunk handles observability.

What is Kasada working on?

Active projects include bot detection platform deployments, predictive detection within account intelligence, real-time metrics portals, data platform modernization, cloud compute infrastructure, and engineering foundations. The focus signals a shift toward behavioral ML and high-performance detection at scale.

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How this profile is built

Kasada's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.