AI-powered threat detection and brand protection across web, social, and dark web
Bolster detects and removes phishing, fraud, and digital impersonation threats at internet scale using deep learning and automation. The stack—TypeScript, Python, Elasticsearch, PostgreSQL, Kubernetes, AWS, plus message queues (RabbitMQ, SQS) and caching layers (Redis, Memcached)—reflects a data-intensive, real-time detection architecture built to process high-volume threat signals. Hiring is accelerating across security, engineering, and enterprise sales, with active projects spanning fraud prevention, detection rules, and enterprise pipeline expansion.
Bolster is an AI-powered cybersecurity company protecting brands from phishing, fraud, and digital impersonation. The platform monitors across web, social media, dark web, and app stores, using deep learning and automation to detect and neutralize threats in real time. The company operates with offices in Santa Clara, California, and Noida, India, and serves a customer base ranging from startups to Fortune 500 companies. Core capabilities include domain monitoring, social media surveillance, app store scanning, and dark web intelligence.
TypeScript, Python, Elasticsearch, PostgreSQL, Kubernetes, Docker, AWS, GCP, Azure, plus RabbitMQ, AWS SQS, Redis, and Memcached for streaming and caching.
Santa Clara, California, with an additional office in Noida, India.
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Bolster AI'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.