Top 50 Ai Privacy Platform - Series B

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.

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.

Cloaked provides a unified privacy platform that removes users’ personal records from over 120 data brokers, continuously monitors dark‑web exposure, and includes $1 million identity‑theft insurance. It generates disposable phone numbers and email addresses with call and SMS routing, and employs AI‑driven defenses to block spam calls, deepfake scams, and credential threats, all stored in a zero‑knowledge, client‑side encrypted vault.

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.

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.

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.

Provides a private AI orchestration platform that enables healthcare organizations to deploy and integrate leading clinical AI algorithms with a single integration. It ensures patient data security by preventing PHI egress, reduces IT costs, and offers turnkey validation and monitoring to accelerate AI adoption in clinical workflows.

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.

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.

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.

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.

Flower provides a framework‑agnostic federated learning platform that lets developers add privacy‑preserving distributed training to existing PyTorch, TensorFlow, JAX, scikit‑learn, and other models with a few lines of code. The SDK supports simulation on a single machine and production orchestration across cloud, mobile, and edge devices, offering built‑in strategies, differential‑privacy, and federated analytics. An enterprise tier adds managed deployment, security hardening, and SLA‑backed support for regulated industries.

Cranium is an AI security and trust platform that continuously monitors AI systems for vulnerabilities while ensuring compliance with internal and third-party AI regulations. By providing visibility into the entire AI supply chain, Cranium helps organizations mitigate risks and build trust without exposing sensitive data.

CalypsoAI provides an adaptive AI security platform that employs prompt injection protection and jailbreak detection to prevent unauthorized access and data leaks. The solution ensures compliance with regulatory standards while safeguarding sensitive information and intellectual property, enabling enterprises to innovate securely.

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.

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.

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.

Adaptive ML develops a platform that enables companies to privately tune and deploy language models using reinforcement learning from human feedback. This technology allows businesses to enhance model performance while maintaining data privacy and optimizing outputs based on specific user metrics.

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.

SecurityPal provides a platform that combines AI technology with certified security experts to expedite security, privacy, and governance, risk, and compliance (GRC) reviews, achieving completion in as little as 24 hours. By streamlining the security assessment process, the platform enables companies to focus on revenue generation while ensuring compliance and building trust with partners and customers.

Pienso provides a no-code platform for training and deploying customized Large Language Models (LLMs) using both structured and unstructured data, enabling users to categorize, label, and analyze their data efficiently. The solution ensures data privacy by operating in the user's environment, allowing businesses to gain real-time insights while maintaining control over their sensitive information.

Harmonic Security provides zero-touch data protection tools that enable organizations to monitor and secure sensitive data in the GenAI era. The platform enhances visibility into unauthorized AI applications, mitigating risks of data exposure while ensuring compliance with privacy regulations.

Lakera AI provides a real-time security platform that employs a low-latency AI application firewall to protect enterprises from vulnerabilities associated with large language models (LLMs). The solution specifically mitigates risks such as prompt attacks, data loss, and the generation of inappropriate content, ensuring compliance with privacy regulations.

Oort is a decentralized cloud computing platform that utilizes a blockchain-based verification layer to integrate global resources for secure data storage and AI model training. By leveraging idle computing power from data centers and edge devices, Oort reduces costs by up to 80% while ensuring 100% privacy for all data services.

Vana is a decentralized platform that enables users to own, govern, and monetize their data while contributing to the training of cryptographically verified AI models. By utilizing non-custodial data and Data Liquidity Pools, Vana addresses the issue of centralized data control, allowing developers to access diverse datasets for building personalized applications without compromising user privacy.

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.

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.

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.

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.

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.

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.

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.

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.

Anonos provides the Data Embassy platform, a policy‑as‑code engine that encodes GDPR, CCPA and other regulations into machine‑readable policies and enforces them automatically on data wherever it resides—on‑prem, public cloud, or partner sites. The platform applies protection at ingestion, transformation, and export, supports cross‑border residency routing, AI data provenance, and on‑demand synthetic or masked test data, while logging all actions to an immutable audit trail accessible via API. It enables regulated enterprises to share and analyze sensitive data faster without compromising compliance.

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.

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.

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 security platform that uses patented AI-driven discovery and classification technology to identify, monitor, and protect sensitive data across cloud, SaaS, and on-premises environments. It reduces risks from unauthorized access, data exposure, and compliance failures by enabling real-time visibility, policy enforcement, and automated threat response without moving data outside the enterprise.

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.

HiddenLayer offers a software platform that monitors the inputs and outputs of machine learning models to protect against adversarial attacks, model theft, and data exposure. By utilizing the MITRE ATLAS framework, it provides real-time awareness of model health without requiring access to raw data or algorithms, ensuring the security of proprietary AI assets.

Noma provides a unified AI security and governance platform that offers continuous visibility and control across the entire data-and-AI lifecycle. It automatically discovers AI assets, assesses security posture, prioritizes risks, and remediates vulnerabilities, defending against AI-specific attacks and ensuring compliance.

Neeva is a private search engine that utilizes advanced algorithms to deliver personalized search results without the influence of advertisements. This approach ensures users can efficiently find relevant information while maintaining their privacy and data security.

Uniuni Co develops a privacy-protecting AI system that utilizes de-identified behavioral pattern analysis to enhance the safety and convenience of public toilet facilities. The technology addresses the need for secure and hygienic restroom solutions, particularly for vulnerable populations.

Provides a mobile AI-powered traffic enforcement platform that uses deep learning and edge processing to automatically monitor and enforce bus lane and bus stop regulations. By collecting and analyzing vision-based data, it improves transit safety and efficiency while prioritizing data privacy through encryption and selective storage.

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.

Fluree is an open-source semantic graph database that utilizes distributed ledger technology to ensure data integrity and traceability while embedding programmable security policies for real-time governance. It enables enterprises to manage trusted data for AI applications, ensuring compliance with privacy regulations and reducing errors in data sharing.

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.

The company provides an AI-driven decision intelligence platform that unifies data ingestion, advanced analytics, and automated risk scoring for credit underwriting, transaction fraud detection, and regulatory compliance. Its core includes ApexDB, a Redis‑compatible distributed key‑value store delivering up to 1 M TPS with sub‑millisecond latency, and a privacy‑computing layer for secure multi‑party data collaboration. The solution is accessed via REST APIs, language‑agnostic SDKs, and a web dashboard, and can be deployed on‑premise, private cloud, or SaaS for banks, fintechs, insurers, e‑commerce platforms, and smart‑city operators.

The startup offers a privacy software platform that enables publishers and advertisers to obtain legally compliant consent from consumers for data usage. This service allows digital publishers to engage with users who employ ad blockers, test compensation strategies, and generate revenue while ensuring consumer privacy.

Zenity offers a security governance platform specifically designed for low-code/no-code and AI applications, providing application security controls from build time to runtime. The platform mitigates risks associated with AI agents, such as data leakage and unauthorized access, ensuring compliance and operational continuity within enterprises.