AI-driven phishing, scam and brand impersonation detection and takedown
Bolster AI detects and takes down phishing sites, scams and brand impersonation across web, social, dark web and app stores. Its stack pairs Python, Rust and Node.js with high-throughput stores like Scylla, Cassandra and Elasticsearch on multi-cloud AWS, GCP and Azure, built for scanning at scale. Current hiring tilts toward sales and support, with projects centered on proof-of-value pilots and managed integrations, pointing to an enterprise go-to-market push.
Bolster AI is a privately held cybersecurity company founded in 2017 and headquartered in Santa Clara, California, with an additional office in Noida, India. It applies deep learning and automation to find and remove threats such as phishing, fraud and digital impersonation targeting brands and their customers. Monitoring covers domains, social media, app stores and the dark web. Customers range from startups to large enterprises. The company employs 51–200 people and hires in the United States and India.
Bolster AI uses Python, Rust, Node.js and TypeScript, with PostgreSQL, Scylla, Cassandra, Elasticsearch and Redis, running on AWS, GCP and Azure with Kubernetes and Docker. Salesforce and Zendesk support sales and customer service.
Yes, hiring is accelerating, led by sales and support roles with additional engineering and security positions, mostly at senior and mid levels, in the United States and India.
Bolster AI is headquartered in Santa Clara, California, and also operates an 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.