Mine

Cybersecurity Dual-Use Technology Priority Signal Founded 2019

Last updated: Apr 30, 2026

Mine is an Israeli-founded privacy and data governance platform combining automated data discovery, risk assessment, and AI agents to manage privacy, compliance, and third-party risk at scale.

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Company Overview

Mine operates a modular privacy and data governance platform designed to automate compliance workflows that are traditionally manual and fragmented across teams. The core product evolved from third-party data exposure discovery to a comprehensive suite encompassing data mapping, privacy risk management, data subject request (DSR) automation, AI governance, third-party risk management (TPRM), and consent management. The platform uses AI agents (branded as "Mira AI") to continuously monitor data flows, execute policies autonomously, and maintain audit trails without requiring constant human intervention.

The commercial market opportunity is substantial and well-established. Privacy regulations such as GDPR, CCPA, and sector-specific frameworks (HIPAA, FedRAMP, SOC 2) have created persistent demand for compliance infrastructure. The typical customer is a mid-market to enterprise organization with complex data environments: multiple SaaS vendors, cloud platforms, internal systems, and increasingly generative AI deployments. Mine addresses a specific pain point: most privacy teams operate reactively, with limited visibility into where data actually flows, where third-party vendors store it, or how to respond systematically to data subject requests. Mine's approach—live data mapping, continuous discovery, and automated policy execution—resonates with enterprise security and legal teams seeking operational efficiency at scale.

Competitively, Mine sits in a crowded but differentiated space. Broader platforms like BigID, OneTrust, and Securiti offer privacy tooling but often as add-ons to wider risk or governance suites. Privacy-native startups like Transcend have focused on DSR automation and consent specifically. Mine's claimed differentiation is platform modularity (customers adopt what they need) and AI agent automation (shifting work from reactive oversight to proactive policy enforcement). The company has achieved customer traction with testimonials from enterprises spanning cloud, IT services, and SaaS, including companies exceeding $3B in revenue. This suggests both go-to-market credibility and customer willingness to standardize on a dedicated privacy platform rather than cobbling solutions together.

From a supply-chain and defense perspective, Mine's relevance is material. Defense contractors, critical infrastructure operators, and intelligence community support organizations increasingly face regulatory and contractual scrutiny around vendor data handling. A single misconfigured SaaS app or unvetted third-party connection can create a material compliance gap or security vulnerability. Mine's combination of continuous visibility, vendor assessment automation, and policy-aligned workflows directly addresses this category of risk. Organizations with clearances, classified data, or sensitive operational information benefit from the kind of persistent data governance Mine provides. The platform is commercial-off-the-shelf, which lowers barriers to adoption compared to bespoke solutions.

Risk factors are material but not disqualifying. Privacy as a category remains regulatory-driven; significant shifts in GDPR interpretation, enforcement priorities, or state-level privacy law fragmentation could impact market urgency. The competitive landscape is crowded with well-funded competitors, some offering overlapping modules. Pricing pressure in mid-market segments is real, especially as more organizations optimize compliance spending. Mine's success depends on sustained product-market fit beyond early-adopter enterprises and on demonstrating measurable cost savings or compliance velocity that justify premium pricing. Customer implementation complexity (integrating into existing data architectures) and change management (shifting teams from manual to AI-agent-driven workflows) are implementation challenges, not product issues, but they affect time-to-value.

Dual-Use Assessment

Military & Commercial Applications

Data governance and vendor risk visibility platforms are inherently dual-use: enterprise privacy compliance and contractor/supplier security assessment directly support defense supply-chain resilience. Continuous data discovery and policy enforcement align with both corporate compliance requirements and classified-data protection regimes. Third-party risk assessment automation is particularly relevant for defense contractors and government agencies managing sensitive information across a complex vendor ecosystem.

Strategic Fit Assessment

Research priority signal

Priority signal means this entry may be worth researching within the Claw & Talon thesis. It does not mean investable, suitable, endorsed, available, or likely to produce returns.

Mine addresses a structurally persistent privacy compliance and vendor risk market with demonstrated enterprise adoption. The shift from reactive compliance to continuous AI-agent-driven data governance represents meaningful operational innovation. The Israeli heritage, strong venture backing, and ability to serve both commercial enterprises and defense-adjacent customers support a credible growth trajectory. Privacy regulation is only intensifying (state-level proliferation, sector expansion), and the complexity of modern cloud-native architectures ensures sustained demand for tooling that automates discovery, assessment, and policy enforcement.

Strategic Value to U.S.-Israel Alliance

Enables supply-chain resilience by automating visibility and compliance around third-party data handling. Defense contractors and critical infrastructure operators gain persistent oversight of vendor risk without manual process overhead. The platform's focus on vendor assessment and policy-aligned automation directly supports the kind of continuous compliance posture essential for classified work and sensitive operations. Ownership of privacy and vendor-risk infrastructure reduces dependency on foreign or opaque data-governance solutions and aligns with resilience and trustworthiness objectives.

Key Technologies

  • AI agent automation (policy execution)
  • Live data discovery and classification
  • Continuous third-party risk assessment
  • DSR and privacy request orchestration
  • AI governance and impact assessment
  • Vendor data-handling visibility
  • Policy-aligned workflow automation

Use Cases & Applications

  • Automating data rights requests and subject access requests at scale
  • Identifying unknown and risky third-party data sharing arrangements
  • Continuous vendor risk assessment and TPRM automation
  • Ensuring privacy compliance across regulated workloads
  • AI model governance and responsible AI deployment
  • Managing consent across web and mobile applications
  • Supply-chain data security validation for contractors and critical vendors

Sources and verification

This profile is based on public-source research, Claw & Talon curation, and editorial judgment. Inclusion does not imply endorsement, partnership, investment, or a recommendation to transact. Readers should still confirm current status, customers, funding, and product claims before relying on this profile.

Public sources

The links below are visible public references used for source discipline around company identity, status, funding, customer, acquisition, public-company, or other material claims where available.

  • Official website Primary public reference for company identity, positioning, and current web presence.
  • Profile update timestamp Last updated in the Claw & Talon database on Apr 30, 2026.

Investor Lens

What this entry is

Private startup

Why it may matter

Mine may matter as a Cybersecurity entry with direct private-company diligence for Israeli technology research.

How an independent investor should read this

Direct private-company diligence. Read this profile as a starting point for independent verification, not as a recommendation or suitability assessment.

Evidence to verify

  • Verify current status
  • Verify traction
  • Verify cap table/funding
  • Verify technical claims
  • Verify regulatory/export-control issues
  • Verify customer concentration

Main investor questions

  • Is the company currently active, independently financeable, and raising or not raising on terms you can verify?
  • What customer, revenue, product, and technical evidence supports the company story?
  • What valuation, cap table, rights, and follow-on assumptions would govern any private exposure?
  • Does the dual-use claim map to actual commercial and government/defense/resilience buyer evidence?
  • What evidence would change the thesis or show that the profile is stale?

What not to infer

  • Inclusion does not imply endorsement.
  • Inclusion does not imply allocation availability or current fundraising.
  • Scores do not indicate investment suitability or expected returns.
  • Strategic importance does not automatically imply venture return potential.

Diligence questions

  • What evidence verifies Mine's current customer traction, deployment status, and revenue concentration?
  • Which technical claims are independently demonstrable today, and which remain roadmap or pilot-stage assertions?
  • Where does the product create real defense, intelligence, critical-infrastructure, or emergency-response value beyond ordinary commercial adoption?
  • How does the platform integrate into existing SOC, cloud, identity, or compliance workflows without adding operational burden?
  • What would disconfirm the priority signal: weak customer references, thin technical differentiation, poor capital efficiency, or limited allied-market access?

Related sector

See the Cybersecurity sector page for market context, related subcategories, and other Israeli companies in this part of the database.

Need a diligence readout?

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