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About BigID Stock
Founded
2016
Headquarters
New York, NY, US
Total Funding
319M
Industries
Software, Data and Analytics, Professional Services
BigID aims to develop data intelligence software in order to help companies secure customer data and comply with privacy regulations. BigID claims to offer a variety of data solutions across industries in the private and public sectors. BigID solutions aim to offer customers compliance with relevant global regulations while offering security, governance, and privacy tools.
BigID was founded in 2016 and has offices in the US and Israel. Notable investors include Salesforce Ventures, Tiger Global Management, and Bessemer Venture Partners.
BigID Press Mentions
Stay in the know about the latest news on BigID
BigID Launches AgentIQ: The Agentic Automation Layer for Data & AI Security and Compliance
prnewswire • Sep 22, 2026
BigID Defines the Missing Governance Layer for Autonomous AI Agents
prnewswire • Aug 04, 2026
BigID Named a Strong Performer in the 2026 Gartner Peer Insights™ "Voice of the Customer" for Data Security Posture Management
prweb • Jul 13, 2026
Data security unicorn BigID cuts 20% of workforce in shift to AI-first strategy
calcalistech • May 28, 2026
AI forces Israeli unicorn BigID to lay off 150
en • May 27, 2026
Investors in BigID
Discover investors in BigID stock and explore their portfolio companies
BigID Management
Leadership team at BigID
Chief Executive Officer
Dimitri Sirota
Chief Financial Officer
Avi Aronovitz
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BigID Key Facts
- Expanded Enterprise Product Capabilities: BigID has continued to broaden its platform across data security, governance, privacy, compliance, and AI risk management, strengthening its value proposition for large enterprises managing complex global data environments. The launch of its AI Sovereignty Standard adds another example of this expansion, giving customers more localized visibility, compliance enforcement, and security controls across regulatory domains while supporting BigID’s positioning in AI governance and data security risk management.Â
- Broader Partner Ecosystem and Embedded Distribution: BigID has expanded its partner ecosystem and integrations across major enterprise data platforms, improving how its data security, privacy, and governance capabilities are delivered into existing customer environments. This partner-led approach can reduce adoption friction, extend BigID’s reach through established cloud and data platforms, and support broader enterprise penetration beyond direct product expansion.Â
- Industry Recognition in the 2026 Gartner Magic Quadrant for Data and Analytics Governance Platforms: BigID was named a Challenger by Gartner, affirming its competitive market position alongside traditional enterprise data management providers. The recognition highlights the company's strong execution in automated data discovery, classification, and AI-ready governance, reinforcing brand credibility among enterprise buyers.Â
- Restructuring Workforce Amid Valuation Compression: In May 2026, local media reported that BigID cut roughly 150 employees, representing about 23% of its global workforce, to accelerate an internal shift toward an AI-first operating model and improve profitability.Â
- Intensifying Category Competition from Upstart Competitors: Industry market share benchmarks highlight that BigID holds roughly an 8% market share in data privacy compliance, facing growing pressure from competitors such as OneTrust and Securiti. Competitors expanding their Data Security Posture Management (DSPM) and AI governance capabilities may squeeze BigID's market share if customers consolidate vendor footprint into broader platform offerings.Â
- Heightened Enterprise Exposure to Regulatory Enforcement & Class Action Risks: Corporate legal teams have seen a rise in federal and state litigation exposure tied to AI usage, data privacy violations, and vendor data breaches. Stricter multi-jurisdiction regulatory enforcement, such as the phased rollout of the EU AI Act and state-level privacy mandates, places intense scrutiny on BigID's AI governance product performance, where any classification errors or governance failures across enterprise client data could expose the company to significant reputational and co-liability risks.Â
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