Human-led and AI-powered penetration testing as a service platform
Synack operates a PTaaS platform combining human security researchers with agentic AI for continuous vulnerability testing. The stack spans GCP, Kubernetes, Kafka, and RAG—infrastructure built for orchestrating distributed security work and continuous validation loops. Active hiring leans heavily toward engineering and sales leadership (Sales Director role open), paired with pain points around GTM scaling and pipeline growth, suggesting the company is transitioning from product-led early adoption to sales-driven expansion.
Notable leadership hires: Sales Director
Synack delivers penetration testing and vulnerability management through a hybrid model pairing vetted security researchers with AI agents for continuous assessment. The platform runs on cloud infrastructure (GCP, Kubernetes, Kafka) designed to coordinate distributed testing workloads and aggregate findings at scale. Founded in 2013 by former NSA operatives, the company serves organizations requiring continuous compliance validation and risk reduction across financial, defense, and critical infrastructure sectors. The business model combines platform licensing with a managed services component powered by human expertise.
Synack runs on GCP and AWS with Kubernetes orchestration, Kafka for event streaming, and PostgreSQL/MySQL for data storage. The platform uses Go, Python, and Ruby for application logic, with Terraform and Ansible for infrastructure automation.
Synack is headquartered in Redwood City, California. The company was founded in 2013 and currently employs 201–500 people.
Other companies in the same industry, closest in size
Synack'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.