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Bolster AI

AI-powered digital risk protection platform (including CheckPhish) that detects and takes down phishing sites, fake mobile apps, and brand impersonation targeting customers.

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68/100Incremental Innovator

Overview

Bolster AI provides an AI-powered platform for detecting and remediating phishing sites, fake mobile apps, and other forms of digital brand impersonation aimed at an organization’s customers, using deep learning to scan the web and app stores for fraudulent content and then automating takedown of confirmed threats. Its free CheckPhish tool, integrated into the Microsoft Security Copilot ecosystem in 2025, extends the company’s phishing-detection technology to a broader community of analysts beyond paying customers.

Founded in 2017 and based in the San Francisco Bay Area, Bolster AI has raised roughly $29 million across a $15 million Series A (2022) led by Cervin and Liberty Global Ventures and a $14 million Series B (2024) led by M12, Microsoft’s venture fund — a notable strategic investor for a phishing/brand-protection vendor. In 2025, the company launched Signals, a real-time brand and cyber-risk intelligence product for CISOs, and reported a Forrester Total Economic Impact study showing 278% ROI, giving it one of the more concrete third-party-adjacent efficacy data points among comparable digital risk protection vendors, though it competes in an established category alongside several other phishing-takedown and brand-protection providers.

Innovation Matrix Assessment

Innovation Velocity 7/10

Regularly ships new products (Signals risk intelligence, email security, Microsoft Copilot plugin integration) building on its core phishing-detection engine.

Operational Value 7/10

Automates detection and takedown of phishing sites and fake apps targeting customers, reducing both fraud losses and brand-trust damage.

Market Momentum 9/10

M12 (Microsoft's venture fund)-led Series B and integration with Microsoft Security Copilot reflect credible strategic validation and real enterprise distribution. Recognized in Cyber Defense Media Group's 2026 Global InfoSec Awards (1 award), independently juried industry validation of market traction.

Category Disruption 5/10

Digital risk protection and phishing/brand takedown is an established category with several existing competitors; Bolster's AI-driven detection scale is a meaningful but not category-redefining differentiator.

Real-World Efficacy 6/10

A Forrester Total Economic Impact study reporting 278% ROI is a relatively strong, semi-independent efficacy data point compared to most peers in this category.

Enduring Relevance 7/10

Brand impersonation and phishing targeting customers remain a persistent, growing threat vector, particularly as AI lowers the cost of producing convincing fake sites and apps.

Why CISOs Should Care

Automates detection and takedown of phishing sites and fake mobile apps impersonating the brand, reducing customer-facing fraud losses and brand-trust damage at scale.

What Makes It Different

AI/deep-learning-driven detection paired with automated takedown workflows and a Microsoft Security Copilot integration, rather than manual brand-monitoring and takedown requests.

The Matrix Verdict

68/100 — INCREMENTAL INNOVATOR

An established digital risk protection vendor with a credible independent-adjacent ROI study; Meaningful Innovator given real efficacy evidence and strategic Microsoft backing.

Editorial Note: Claims vs. Verified Findings

The Forrester TEI study (278% ROI) was commissioned by Bolster, a common but not fully independent form of validation; funding figures are corroborated by PR Newswire.

Sources