Getvisibility is an AI-driven data discovery, classification and Data Security Posture Management (DSPM) company that helps organisations find, label and protect sensitive information across cloud, on‑prem and endpoint environments using automated machine‑learning models and content analysis[2][4].
High-Level Overview
- Mission: Build an intelligent, accurate and automated data discovery and classification engine to maximize security, privacy and control over unstructured data[1][2].- Investment‑firm style points (if viewed as a portfolio/company subject): Getvisibility’s investment in R&D focuses on AI/ML for content understanding and automated labeling to enable DLP, rights management and access controls[1][4].- Key sectors: Enterprise security, regulated industries (finance, healthcare, government), cloud migrations and any organisation needing GDPR/PII compliance[6][4].- Impact on the startup/enterprise ecosystem: By automating discovery/classification of unstructured data, Getvisibility reduces manual compliance burden, accelerates safe cloud migration and complements existing security stacks (DLP, CASB, RMS), which can raise the baseline security posture across customers and partners[6][4].
Origin Story
- Founding and location: Founded in 2017 in Cork, Ireland, now with HQ operations in Cambridge, Massachusetts and a global customer footprint[8][1].- Founders and backgrounds: Co‑founded by Ronan Murphy (AI and data security lead) and Mark Brosnan (software/scalable systems and cloud experience), combining expertise in AI/ML and large‑scale systems[2].- How the idea emerged: The company formed to address the difficulty organisations face in locating and classifying sensitive information buried in unstructured documents, emails and file stores—using an ensemble (“AI Mesh”) of models to automate and scale that discovery[5][2].- Early traction / pivotal moments: Early fundraising included a >€2M round led by Herb Hribar and a €10M Series A in March 2022 to scale internationally; by the mid‑2020s Getvisibility reported hundreds of customers across dozens of countries and interest from large security vendors[2][5].
Core Differentiators
- AI-driven content analysis and classification: Uses deep content inspection (not just metadata or regex) to identify PII, IP and data created by generative AI workflows with high classification confidence[1][2][5].- DSPM focus and integrations: Positions itself as a Data Security Posture Management solution that integrates with DLP, RMS, access management and cloud providers to operationalise protection[4][6].- Deployment speed and operational fit: Emphasises speed of deployment, minimal workflow disruption and automated labeling to make downstream security controls more effective[4].- Cross‑environment coverage: Built to scan on‑premises, cloud and endpoints, offering a unified registry and visualisation of data footprint for compliance and migration planning[3][6].- Partner and channel reach: Partnerships with platform and channel players (NetApp, Thales CPL, Arrow, regional resellers) extend go‑to‑market and integration pathways[3][4][6].
Role in the Broader Tech Landscape
- Trend alignment: Rides the convergence of AI (for content understanding) and rising demand for DSPM as organisations grapple with unstructured data risk, cloud migrations and regulatory pressure (GDPR, privacy laws)[1][2][6].- Why timing matters: Proliferation of unstructured data, wider enterprise adoption of generative AI, and stricter data‑privacy/regulatory regimes increase urgency for automated discovery and risk‑driven protection now[2][5].- Market forces in their favor: Growing security budgets for data protection, vendor consolidation where larger security firms acquire specialized AI capabilities, and channel partner ecosystems that accelerate deployments[5][4].- Influence on ecosystem: By automating classification and enabling precise enforcement, Getvisibility can reduce false positives in DLP, improve migration hygiene and act as a data governance foundation that other security products consume[4][6].
Quick Take & Future Outlook
- Near term: Expect continued expansion of integrations with major cloud and security vendors, deeper support for risks introduced by generative AI, and geographic scaling via partners and channel alliances[2][4][6].- Medium/long term: If Getvisibility sustains fast, accurate classification at scale, it can become a standard data registry layer for enterprise security stacks or be an attractive acquisition target for larger cybersecurity vendors seeking AI classification IP[5].- Risks and shaping trends: Competition in DSPM, the need to continuously update models for new data types (including AI‑generated content), and vendor consolidation are key factors that will shape outcomes[2][5].- Final note: Getvisibility’s core value—automated, model‑driven visibility into unstructured data—addresses a persistent gap in enterprise security and governance; its success will hinge on maintaining classification accuracy, ecosystem integrations and deployment scale[1][4][2].
