Bolster Secures $14M in Funding Round to Repel Digital Threats

Bolster, a provider of multi-channel phishing protection, announced it has received $14 million in a Series B financing round, enabling the company to invest in GTM initiatives that strategically prioritize executive monitoring, business email compromise (BEC) attack detection and takedown, and threat-hunting automation.

Bolster’s sales organization will be structured around these key areas, supported by comprehensive training and marketing initiatives, to increase market penetration and heighten customer engagement, according to the company.

This funding round was led by new investor M12, Microsoft’s venture fund. Existing investors Thomvest Ventures, Crosslink Capital, Liberty Global Ventures, Cheyenne Ventures, Cervin Ventures, and Transform Capital also participated. The financing brings Bolster’s total funding to over $40 million.

“Bolster is committed to leading the industry in leveraging generative AI for real-time detection and response to phishing and impersonation attacks. This issue impacts nearly all businesses today,” said Bolster co-founder and CTO Shashi Prakash. “This investment validates our technology and accelerates our platform development and go-to-market initiatives.”

Assisted by AI, attackers deploy sophisticated phishing and impersonation attacks across all digital business channels, according to the company.

To respond to the growing digital threats, businesses need to leverage leading AI security vendors, such as Bolster, which supports over 120 customers including some of the world’s most well-known brands. Bolster detects and eradicates phishing and impersonation attacks as they weave across malicious websites, mobile applications, social media platforms, and messaging tools.         

Since 2017, Bolster has used AI and machine learning to train models on over 100TB of structured data of URLs, domains, natural language text, and emails. 

Bolster created CheckPhish, one of the most popular phish and scam detection sites on the internet since 2018, with over 20% of the Fortune 500 registered as users. This site's huge amount of data is used to augment Bolster’s AI and machine learning models, according to the company.

Bolster’s platform advancements leverage generative AI’s application to cybersecurity. In the past year, Bolster has introduced eight cutting-edge LLM technology-based transformers, capable of detecting and eliminating phishing threats before they can even reach an email.

Bolster's engineers and researchers constantly update their deposition engine and orchestrator with the latest intent models for text and vision, making Bolster’s generative AI ethical and resilient against data bias. 

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