API security and bot management protecting billions of daily interactions
Cequence operates at the intersection of API security, bot mitigation, and fraud prevention, protecting over 10 billion daily API interactions. The company's hiring pattern—heavy on support and mid-to-senior engineering—reflects a customer-success-driven growth phase: they're scaling onboarding (support knowledge base, training curriculum, customer success organization) and platform integration depth alongside core threat detection work. The stack (Kafka, Elasticsearch, Kubernetes, AWS infrastructure) supports high-volume, real-time threat analysis at scale.
Cequence provides API security, bot management, and application protection for large enterprises and government organizations. The platform defends against attacks, business logic abuse, and fraud while enabling safe access for agentic AI systems. The company protects over 10 billion API interactions daily and secures 4 billion user accounts. Founded in 2014 and headquartered in Santa Clara, Cequence is led by former security executives from Palo Alto Networks and Symantec. Operations span multiple regions with hiring in India, Japan, and Saudi Arabia.
Cequence uses AWS (including WAF, SQS, EKS, Route 53), Docker, Kubernetes, Kafka, Elasticsearch, nginx, and Apache for infrastructure. Development languages include Python, Java, JavaScript, Go, and C++. Infrastructure-as-code tools: Terraform, Ansible, Puppet.
Cequence protects enterprise applications and APIs from attacks, business logic abuse, online fraud, sensitive data exposure, and bot-driven threats. The platform also enables safe access for agentic AI systems while maintaining real-time threat detection.
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Cequence Security'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.