Funding Round

Seemplicity Secures $50M for AI Exposure Management

Seemplicity secured $50 million in Series B funding. They reduce exposure noise by 95%, allowing teams to focus on critical vulnerabilities.

StartupHub.ai Staff

By StartupHub.ai Staff, reviewed by Daniel Singer, Editor

1 min read

Seemplicity Secures $50M for AI Exposure Management

Seemplicity Security recently secured $50 million in Series B funding. Sienna Venture Capital led the round. This capital will expand the company's artificial intelligence capabilities and accelerate its go-to-market strategy.

Founded in 2020, Seemplicity addresses the challenge of overwhelming security alerts. Its platform automates manual tasks, bridging the gap between identifying and remediating risks. Ultimately, it enhances cyber resilience and reduces strain on security teams.

Accelerating AI-Driven Security

The Seemplicity platform consolidates aggregation, prioritization, and remediation workflows. Specifically, it reduces exposure noise by 95%, allowing teams to focus on critical vulnerabilities. Automated workflows generate and assign remediation tasks, significantly accelerating risk reduction. The platform also features AI agents delivering tailored risk insights for effective vulnerability management. Furthermore, since its 2022 funding, Seemplicity has achieved 800% annual recurring revenue growth and tripled its customer base. Notable clients include Fiverr and Morningstar.

Essentia Venture Capital, Glilot Capital Partners LP, NTTVC, and S Capital also participated in the Seemplicity funding round. Overall, this latest investment brings Seemplicity's total capital raised to $76 million. The company competes in the evolving cybersecurity landscape alongside firms like Tenable and Palo Alto Networks.

The platform aims to give security teams back their most valuable resource: time.

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TopicsAIAutomationCybersecurityexposure managementFundingSeemplicitySeries BSienna Venture Capital

StartupHub.ai Staff

Written by

StartupHub.ai StaffEditorial team

The staff writers of StartupHub.ai, ranging from investment analysts to avid AI tool users, early adopters and critical enthusiasts. Backgrounds span engineering, business and the arts. We hold every piece to rigorous standards of research and review.

Daniel Singer

Reviewed by

Daniel Singer is an AI expert who has been writing about, covering and building AI technology since 2018.

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