Top Data Privacy Startups in 2026

Immuta is the unified data platform for the world’s most secure organizations. Our technology frees data science teams to securely access and work with high-value data. The Immuta platform streamlines data management workflows to solve for the organizational challenges facing modern data science operations. Our customers trust our platform for its precise controls. They depend on it to create secure virtual data collaboration environments on-demand. Immuta was founded in 2014 and is headquartered in College Park, Maryland. Platform customers include global financial institutions, telecommunications companies and national security organizations.

OneTrust automates privacy impact assessments and data inventory mapping, enforces risk remediation actions, and triggers recurring audits for continuous compliance monitoring across customer, employee, and vendor data transfers. Our web-based software can be accessed on any device and provides a single place for your privacy office to collaborate with business groups, vendors and trusted advisors managing privacy risks. OneTrust is deployed in the cloud or behind the firewall, and can be integrated with other security and compliance assessment activities. The result is the ability to demonstrate privacy by design and ongoing compliance with your policies, EU's data privacy laws (GDPR, BCR, Privacy Shield), and other privacy frameworks (HITECH, ISO, GAPP, APEC).

Our Story: We know how hard it is to create a great website or app. Add to that new Data privacy law requirements (like GDPR, CCPA, and 150 others), added consumer pressure for data-ownership, and the need to protect personal data, there is no time to actually create, you are stuck just maintaining Our Vision: We want any App and Website owner or developer to be compliant with every changing Data Privacy laws in minutes and give their customers can have complete control over their personal data. Technology: The Rownd platform uses its proprietary stack of encryption, sharing mechanisms, and easy to use APIs to create a first-of-its-kind experience. Giving Small and Medium businesses the ability to add Data Privacy and Ownership to any app or website.

- Product allows you to share your identity only with those you want to. Use Cloaked email addresses and phone numbers. Pull the plug if you want to shut off relationship. - Lets you be in charge of how the Internet works for you - The power of privacy is returned back into people’s hands - You are in charge of how your data is used

Osano, a leading data privacy platform, simplifies privacy compliance by helping organizations build, manage, and scale their privacy program to increase trust, stay compliant, and do the right thing. Founded in Austin, Texas, the data privacy management company solves for consent management, data subject rights, assessments, and vendor risk — all in one place. 

Ennote was founded by cloud security architects with over a decade of experience designing secure, distributed infrastructure environments for global enterprises across AWS and GCP. Across every architecture a pervasive vulnerability continuously emerged: engineering teams, faced with the overwhelming operational overhead of legacy vaults or the manual friction of unencrypted configurations, frequently bypassed approved systems to drop raw environment files directly into Slack channels and CI/CD code pipelines. This trend is not an operational discipline problem; it represents a fundamental platform architecture failure. When legacy security tooling slows down shipping velocity, developers inevitably bypass it entirely. For too long, the industry has forced companies into a binary choice: bureaucracy or chaos. Legacy vaults are powerful but require dedicated DevSecOps teams to configure and maintain. Conversely, simpler developer-focused utilities are user-friendly but lack native, real-time infrastructure automation delivery. This trade-off becomes exceptionally critical in the modern AI era, where the explosive growth of automated workflows, LLM pipelines, and machine identities demands a unified approach to security. Ennote eliminates this friction entirely. By seamlessly uniting human collaboration with Kubernetes-native machine automation, the platform establishes a single standard for enterprise secret governance. It fuses an intuitive team password vault for human workflows with a push-based, outbound-only gRPC engine that streams credentials directly into container runtime states in less than one second. This unified ecosystem bridges the gap between organizational identity and machine infrastructure, protecting all credentials under a verifiable, client-side encrypted, post-quantum zero-persistence architecture.

We determine the organisation's current state and targets a desired future state that reduces cyber risks to provide better protection from cyber-attacks. The purpose is to identify gaps in organization and prepare an action plan for improvement. The process provides organisations with clear insights into their cybersecurity weaknesses and strengths in order to improve their current security posture or benchmark against best practices in the industry.

ForeMetric.ai is privacy infrastructure that returns ownership of behavioral data to the people who create it. We're building the alternative to BigTech's 20-year extraction model: a native app that collects behavioral signals locally, encrypts them into mathematical vectors, and processes them in hardware-isolated TEE enclaves. B2B clients buy insights — not raw data. 80% of revenue flows back to users via smart contract. Privacy isn't a policy here. It's physics. Stack: Rust, Flutter, Intel TDX, TON blockchain, Differential Privacy, Proof-of-Behavior. Pre-funding stage. Looking for CTO/Co-Founder. 10% equity. Full technical autonomy. Remote-first. Working demo: foremetric.ai

We are a SaaS platform helping companies get in compliance with data privacy regulations like GDPR or CCPA. We have hundreds of clients in 25+ countries and manage consents for millions of users every month. We have raised $45M to date. We think that people deserve to understand how companies use their data and to have the choice to authorize (or not!) companies to collect their personal data for different purposes (advertising, analytics, emailing, etc.). We know privacy appears to be a boring and hard problem, but we strive to make it interesting and easy to solve for our clients.

With privacy regulations coming across the globe, we are entering the Privacy era of AI. We are funded and working on some disruptive technologies.