Kasada Tech Stack

Bot detection platform using adversarial ML and real-time traffic analysis

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

Kasada detects and blocks automated attacks across web, mobile, and API channels using adversarial ML models and real-time detection pipelines built on Kafka, Flink, and ClickHouse. The company is scaling aggressively: hiring is accelerating with a sales-heavy mix (8 of 15 open roles) and leadership additions (director, VP), while simultaneously building out detection infrastructure (SageMaker, Jupyter) and deploying modernized GTM systems (HubSpot, Akamai integration). This hiring shape reflects a simultaneous push to expand enterprise sales coverage and deepen detection-model sophistication.

Tech Stack 23 technologies

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

What Kasada Is Building

◆Challenges

Preventing bot attacks
Protecting against automated bot attacks
Lack of structured performance tracking
Detecting automation and fraud across large-scale traffic
Scaling enterprise saas
Building high-performance sales teams
Achieving 5× revenue growth
Anomaly detection with unlabelled data
Protecting customers from automated attacks
Eliminating latency bottlenecks

▲Active Projects

Proof-of-concept engagements
Bot management platform deployment
Implementing gtm engine and hubspot
Modernising raci
Real-time detection pipelines
Adversarial ml model deployment
Detection system integration
Global gtm strategy
New market entries
Implementation projects across web, mobile, cdn, and cloud environments

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Sales

Ops

Data

Engineering

Support

Seniority

Senior

Lead

Director

Notable leadership hires: Sales Director

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About Kasada

Kasada provides bot management and detection for enterprises operating across web, mobile, and API surfaces. Founded in 2015, the 51–200 person company is headquartered in New York and serves mid-to-enterprise customers seeking protection from automated fraud and credential-stuffing attacks without deploying friction-heavy CAPTCHAs. The platform ingests large-scale traffic streams, applies adversarial ML classifiers in real time, and integrates with CDNs (Cloudflare, Akamai) and cloud infrastructure (AWS, Kubernetes). Current operational focus spans proof-of-concept deployments, new market expansion, and scaling enterprise sales operations while addressing latency and detection accuracy at scale.

HeadquartersNew York, New York

Company Size51–200 employees

Founded2015

Hiring MarketsAustralia, United States

Frequently Asked Questions

What technology does Kasada use to detect bots?

Kasada's detection layer is built on Kafka for stream ingestion, Apache Flink for real-time processing, and ClickHouse for analytics. The platform deploys adversarial ML models via SageMaker and integrates with Jupyter for model development. Traffic is analyzed against Kafka Connect and Kinesis pipelines.

What is Kasada working on right now?

Current projects include deploying adversarial ML models for detection, modernizing GTM strategy and sales processes (HubSpot implementation), expanding into new markets, and integrating detection systems across web, mobile, CDN, and cloud environments. The company is also addressing latency optimization and scaling SaaS operations.