Top 50 Ai Privacy Platform - Series B

The startup offers a privacy and compliance software platform that audits personal data flows and generates process documentation to ensure adherence to regulations. By processing and documenting data breaches, the platform enables industries such as healthcare and finance to manage data transparently while focusing on their core business operations.

Opaque provides a confidential computing platform that enables organizations to analyze encrypted data in the cloud without compromising privacy. By leveraging cryptographic techniques, Opaque allows businesses to unlock sensitive data for AI workloads while ensuring compliance with data protection regulations.

The startup offers a data infrastructure platform that enables secure collaboration among multiple parties while maintaining data ownership and privacy. Its technology features smart access rights management and customized integrations, allowing clients to share and compute data without the risk of privacy leakage.

1touch.io provides a sensitive data intelligence platform that utilizes supervised AI to achieve 98.6% accuracy in structured data and 100% accuracy in unstructured data across various environments, including on-premises and multi-cloud systems. The platform enables organizations to identify and protect sensitive information in real-time, addressing the challenge of unknown data exposure and compliance with privacy regulations.

MineOS is a data privacy and governance platform that utilizes AI-driven data mapping and classification techniques to automate compliance with privacy regulations. It addresses the challenges of managing sensitive information and data subject requests by providing centralized workflows and real-time visibility across diverse data sources.

LightBeam.ai employs a zero-trust data protection framework that integrates data security, privacy, and governance into a single platform, enabling businesses to manage sensitive data across cloud, SaaS, and on-premises environments. This approach mitigates data exposure risks and ensures compliance with regulations such as GDPR and HIPAA, while automating data discovery, access control, and privacy management.

Gretel is a multimodal synthetic data platform that utilizes generative AI and privacy-enhancing technologies to create artificial datasets that mirror the statistical properties of real data. This enables developers to train and validate AI models while maintaining data privacy and accelerating access to high-quality data.

Relyance AI provides a data compliance platform that offers visibility into enterprise data processing by mapping data flows and comparing them against regulatory obligations and contracts. This technology helps organizations mitigate risks related to data breaches and non-compliance, ensuring they meet privacy regulations and maintain customer trust.

Provides a data clean room platform that enables businesses to securely collaborate and analyze decentralized data without moving it, preserving privacy and compliance. This technology allows organizations to derive actionable insights from walled gardens and private datasets, supporting use cases like advanced segmentation, measurement, and model enrichment without requiring coding expertise.

Cassava Network provides a blockchain-based infrastructure for managing and monetizing social data through its Value Mining Protocol, utilizing Fully Homomorphic Encryption and zero-knowledge proof technologies to ensure user privacy. This platform enables users to securely collect, store, and analyze their data, facilitating AI-driven insights while complying with data protection regulations like GDPR and CCPA.

Oasis Labs provides a privacy-first cloud computing platform built on blockchain technology, enabling organizations to utilize data securely while maintaining confidentiality. Their enterprise solutions leverage decentralized architecture to protect sensitive information, facilitating responsible data use in compliance with privacy regulations.

DataGrail provides a privacy management platform that automates data subject access requests, consent management, and risk assessments across an organization’s data ecosystem. This solution reduces the manual effort required for compliance, enabling companies to efficiently manage privacy regulations while minimizing risk exposure and enhancing customer trust.

Privacera provides a unified data access and governance platform that automates the creation and enforcement of security policies across diverse data environments, ensuring compliance with regulations like GDPR and HIPAA. The platform enables organizations to discover, protect, and monitor sensitive data while streamlining access for authorized users, significantly reducing onboarding time and compliance risks.

MOSTLY AI provides a platform that generates fully anonymous synthetic data using optimized Generative AI models, enabling organizations to share sensitive data while ensuring compliance with privacy regulations like GDPR and CCPA. This technology addresses the challenge of restricted data access for AI/ML development and analytics, allowing teams to derive insights and improve model performance without compromising data privacy.

Aetion Generate utilizes generative AI to produce privacy-preserving synthetic datasets from real-world and clinical data, enabling organizations to share and analyze sensitive information without compromising privacy. This technology addresses the challenge of accessing and utilizing valuable data while mitigating re-identification risks and enhancing dataset completeness for improved insights.

Transcend provides a data privacy infrastructure that integrates privacy controls directly into business systems, enabling real-time visibility and automated consent management for personal data. This approach addresses the challenges of data sprawl and compliance costs, allowing companies to enhance operational efficiency and build customer trust.

Aim Security is a GenAI security platform that provides organizations with visibility and control over their AI applications, ensuring compliance with data privacy regulations and internal policies. The platform enables enterprises to manage AI risks by auditing data interactions, detecting malicious prompts, and enforcing security configurations across their AI ecosystem.

Ethyca is a privacy engineering platform that automates 90% of data privacy compliance tasks using Fides privacy intelligence, enabling organizations to manage consent, automate privacy requests, and generate compliance reports efficiently. By integrating privacy as code into software development, Ethyca helps businesses build trust with customers while minimizing the complexity and manual effort associated with evolving privacy regulations.

Provides an API-based data privacy vault that uses polymorphic encryption and tokenization to secure sensitive data, such as PII and payment information, across any technology stack. It enables organizations to comply with regulations like HIPAA, PCI, GDPR, and PIPL while maintaining data usability for analytics, customer support, and AI applications without exposing sensitive information.

The startup offers a data ecosystem platform that utilizes hardware cryptography and machine learning to enable secure data access and analysis for data scientists and business users. This technology allows organizations to collaborate on sensitive data without compromising confidentiality, unlocking valuable insights that would otherwise remain untapped.

Zama develops open-source solutions utilizing Fully Homomorphic Encryption (FHE) to enable secure processing of encrypted data for blockchain and AI applications. This technology allows data scientists to run models on sensitive information without exposing the underlying data, ensuring privacy while maintaining functionality.

Nillion provides a decentralized computing network that utilizes cryptographic techniques to securely process and store sensitive data, enabling the development of privacy-enhancing applications across various industries. By distributing trust and employing Information-Theoretic Security, Nillion addresses the risks associated with centralized data control, facilitating secure AI training and confidential data management.

Borneo is a data security platform that provides real-time visibility, assessment, and remediation of sensitive data across its entire lifecycle, utilizing machine learning for automated discovery and classification of personally identifiable information (PII). It addresses the challenges of data misuse and compliance gaps by enabling organizations to maintain control over their data while ensuring adherence to privacy regulations without ongoing management overhead.

The startup offers a decentralized data platform that enables secure connections between multiple parties, utilizing patented non-movement data technology to facilitate data collaboration without exposing sensitive information. This approach enhances customer experiences while ensuring privacy, allowing companies to leverage their customer data effectively and safely.

Duality provides a platform that utilizes privacy-enhancing technologies to enable secure collaboration and analysis of encrypted data across organizations. This approach addresses challenges related to data privacy, intellectual property protection, and regulatory compliance, allowing enterprises to derive insights without exposing sensitive information.

Nightfall is a cloud data protection platform that utilizes an AI-native detection engine to accurately identify and remediate sensitive data across various applications and environments. It addresses the risk of data leaks and compliance violations by providing real-time visibility and automated remediation for personally identifiable information (PII), personal health information (PHI), and other critical data types.

Provides a privacy management platform that generates unique virtual identities—such as emails, phone numbers, and passwords—for each online account, reducing the risk of data exposure and identity theft. The service includes tools for encrypted password storage, identity monitoring, data removal from brokers, and $1 million in identity theft insurance, ensuring comprehensive protection against fraud and breaches.

Picnic Corporation provides a managed digital privacy service that continuously removes employee personally identifiable information (PII) from the public web and monitors dark web exposure. This proactive approach addresses the vulnerability of the human attack surface, significantly reducing the risk of social engineering attacks targeting enterprises.

Privafy offers a cloud-native security solution that protects data in motion across networks, endpoints, and cloud environments by integrating essential security functions such as encryption, intrusion detection, and data loss prevention. This service addresses the high risk of data breaches that occur during data transmission, significantly reducing costs and complexity compared to traditional security systems.

The startup offers a cloud-based data privacy platform that analyzes and provides insights on global online privacy policies, enabling companies to comply with diverse data protection regulations. By delivering actionable intelligence, the platform helps clients make informed decisions regarding data sharing practices with websites and service providers.

The startup offers a data security platform that enables clients to securely analyze and collaborate on data assets without exposing sensitive content. By utilizing advanced techniques for data anonymization and secure insights derivation, the platform facilitates safe data monetization and cross-matching of third-party data.

Provides an AI-powered Data Security Posture Management (DSPM) platform that automatically discovers, classifies, and monitors sensitive data across cloud environments, including SaaS, IaaS, and on-premises systems. It mitigates risks by enforcing least privilege access, detecting policy violations, and preventing data breaches through continuous monitoring and contextual threat analysis.

Sahara AI is a decentralized AI network that utilizes blockchain technology to enable users to securely deploy and monetize autonomous AI while maintaining control over their data and models. The platform addresses the need for privacy-preserving AI solutions by providing a transparent marketplace for AI assets and collaborative development among participants.

WitnessAI provides a platform that enables enterprises to monitor AI activity, enforce usage policies, and secure data against misuse and attacks. This solution addresses the challenges of maintaining control, privacy, and security while leveraging generative AI technologies.

Protect AI specializes in AI security solutions that utilize advanced threat detection algorithms to identify and mitigate vulnerabilities in machine learning systems. The company addresses the risk of adversarial attacks and data breaches, ensuring the integrity and reliability of AI applications across various industries.

Provides an AI Guardrails platform that uses multi-SLM detection engines to enforce security, reliability, and observability for AI workloads. It prevents issues like prompt injections, data leakage, and hallucinations in real time, ensuring compliance with company policies and reducing risks associated with deploying generative AI in enterprise environments.

Dasera is a Data Security and Privacy Management (DSPM) platform that automates the discovery, classification, and governance of structured and unstructured data across on-premises, cloud, and hybrid environments. By providing precise visibility and control over data access and usage, Dasera minimizes the risks associated with data breaches and regulatory non-compliance.

Bria provides a Visual Generative AI platform that enables developers to create tailored AI solutions using source-available models and APIs, all trained on 100% licensed data. The platform mitigates copyright and privacy risks while facilitating rapid deployment of enterprise-ready applications across various commercial departments.

Optalysys utilizes silicon photonics to accelerate Fully Homomorphic Encryption (FHE), enabling secure data processing without exposing sensitive information. This technology addresses the limitations of conventional computing by allowing encrypted data to be analyzed and processed efficiently, enhancing privacy and security for users.

TripleBlind develops quantum-safe and cryptographically secure software solutions, including Privacy Suite for HIPAA-compliant sharing of protected health data and SecuriKey to prevent account takeover attacks. These products enable secure data sharing and enhance user account protection, addressing critical privacy and security challenges in the digital landscape.

The startup offers an open-source application development platform that enables developers to create password-free, end-to-end encrypted applications while maintaining control over personal data. This platform addresses issues of data privacy and security by providing lightweight, self-serve tools that facilitate the building, launching, and marketing of secure applications.

Houm provides a secure communication platform that utilizes end-to-end encryption to ensure user privacy during online interactions. The service addresses the need for confidential messaging in an era of increasing data breaches and surveillance.

Concentric AI offers a Data Security Governance Platform that utilizes autonomous data discovery, classification, and risk monitoring to protect sensitive information across various data sources. The platform addresses the challenges of identifying and safeguarding personally identifiable information, personal health information, payment card information, and intellectual property, ensuring compliance with relevant regulations.

The startup develops a financial governance platform that utilizes decentralized technologies, artificial intelligence, and machine learning to provide security and transparency in asset exchanges. By enabling on-device authentication of valuable objects, the platform effectively combats counterfeiting and enhances trust in transactions.

Optable provides a data collaboration platform that enables publishers and advertisers to create secure, no-code data clean rooms for planning, activating, and measuring advertising campaigns while maintaining user privacy. The solution addresses the challenge of effective audience data activation in a privacy-centric environment, allowing for real-time integration with major ad serving and buying platforms.

Satori provides a data security platform that enables organizations to manage access control, dynamic data masking, and real-time monitoring of sensitive information across databases, data lakes, and AI applications. This platform addresses compliance challenges by automating data classification and generating continuous compliance reports for frameworks such as GDPR and HIPAA, ensuring secure and efficient data handling.

Apheris provides a federated learning platform that enables secure and compliant collaboration on distributed data without the need to transfer sensitive information. This technology allows organizations to build machine learning models and gain insights from diverse data sources while maintaining data privacy and regulatory compliance.

Robust Intelligence provides an automated platform that evaluates AI models and data for security and safety vulnerabilities, ensuring compliance with standards like NIST and OWASP. The solution enables enterprises to deploy AI applications rapidly while mitigating risks associated with integrity, privacy, and availability violations.

The startup operates an AI-driven platform that automates data collection from third-party and proprietary sources for insurance underwriting. By providing traceability and full lineage of underwriting decisions, the platform reduces the manual workload of underwriters, enhancing efficiency and accuracy in the underwriting process.

The startup develops artificial intelligence technology that generates operational plans, analyzes emerging threats, and executes response strategies for security practitioners. This enables clients to conduct detailed threat analysis efficiently without the need to memorize data sources or schemas.