Discover 10 innovative data protection companies using AI, encryption, and more! Let’s explore trends and key players in the 21,200+ organization-strong data protection market.
We’ve overviewed 10 new data protection solutions that enhance cybersecurity through new technologies and specialized applications. These companies offer solutions like automated data protection systems, continuous codebase scanning, data protection officer (DPO)-as-a-service, and regulatory compliance management tools.
Each featured company is driving significant progress in its respective domains. These solutions highlight data protection technologies’ diverse and expanding applications in the cybersecurity landscape.
Continue reading to gain up-to-date and data-driven insights on:
Key Takeaways
We explore the evolving landscape of data protection by drawing insights from the Big Data and AI-powered informative sources that provide data on over 4.7 million emerging companies globally. This sector is marked by key trends and a substantial workforce, shaping its future. Here are some key insights at a glance:
- Current Data Protection Trends: Some major trends impacting data protection are zero trust architecture (ZTA), homomorphic encryption, data masking and tokenization, privacy-preserving machine learning, and quantum-safe cryptography.
- Data Protection Market Stats: The global data protection sector encompasses over 21,200 organizations with a massive 1.9 million workforce. It is experiencing a 4.45% annual growth rate and has seen 6300 new data protection companies emerge in the past five years. On average, each of these companies employs about 19 people.
- 10 New Data Protection Companies to Watch:
- Teleskope – Automated Data Protection
- Piiano – Continuous Codebase Scanning
- Sealit Technologies – Zero Trust Data Security
- DPOnet – DPO as a Service
- Dastra – Regulatory Compliance Management
- Privya – Automated Data Discovery & Mapping
- CipherStash – Data Encryption Layer
- Syntheticus – Safe Synthetic Data
- DESILO – Homomorphic Encryption
- Edgeless Systems – Confidential Computing
Discover 10 out of 6.3K+ Emerging Data Protection Solutions
This section highlights 10 new data protection companies offering DPO as a service, data encryption layers, safe synthetic data, homomorphic encryption, and more. These entities integrate advanced encryption, data synthesis, and computing techniques. They also leverage secure algorithms, encryption technologies, and computing methods to enhance data security, privacy, and regulatory compliance. Read on to explore many more innovative solutions that these companies offer!
Also Read: Hybrid Cloud, AI, and Sustainability: A Balancing Act for Enterprise Data Centers
1. Teleskope
- Founding Year: 2022
- Employee Range: 11-50
- Location: USA
- Signal Strength: Very Strong
- What they do: Teleskope builds a platform to continuously discover and catalog data across the cloud, codebase, and vendors. It then classifies various entities, including personally identifiable information (PII), payment card industry (PCI) data, and protected health information (PHI). This approach proactively detects security and privacy risks, monitors data flows, and ensures compliance with privacy regulations like the General Data Protection Regulation (GDPR) and the California Privacy Rights Act (CPRA). The platform further integrates with cloud-based and database platforms. The company’s high-capacity multi-model engine processes 40000 bytes per second on a single graphics processing unit (GPU) node, offering high precision. Security, data, and engineering teams use this platform to reduce manual workloads and enhance operational efficiency.
2. Piiano
- Founding Year: 2021
- Employee Range: 11-50
- Location: USA
- Signal Strength: Very Strong
- What they do: Piiano offers developer-friendly privacy and security products for comprehensive data protection. Its product, Piiano Vault, provides application programming interfaces (APIs) to store, manage, encrypt, and tokenize sensitive customer data. It supports deployment as a SaaS or self-hosted solution, offering flexibility for diverse environments. Piiano Vault features access control list (ACL) configuration, data masking, and granular policy management for improved security. Further, Piiano Flows automates code auditing to identify and remediate data exposure risks. These solutions enable businesses to streamline data protection processes and enhance compliance with regulations.
3. Sealit Technologies
- Founding Year: 2020
- Employee Range: 11-50
- Location: UK
- Signal Strength: Very Strong
- What they do: Sealit Technologies provides zero-trust encryption solutions for secure communications and file sharing. The company’s Sealit Communicate integrates with Outlook, Gmail, and Slack for encrypted messaging. Its Sealit Collaborate provides a cloud storage solution with zero-trust encryption. Likewise, the company develops solutions to send large files securely and automate confidential data monitoring. These solutions benefit industries requiring strong data protection, such as the legal, financial, and healthcare sectors.
4. DPOnet
- Founding Year: 2020
- Employee Range: 11-50
- Location: Brazil
- Signal Strength: Medium Strong
- What they do: DPOnet improves privacy management with process mapping, risk analysis, and legal framework determination tools. They support automated data protection by offering features like incident management, data subject response, and compliance monitoring. The company’s DPO Advisor tool aids organizations in managing and monitoring Lei Geral de Proteção de Dados (LGPD) compliance across multiple business units to enhance efficiency and transparency. It also features AI-powered assistance that offers data access insights (DAI) to optimize routine tasks and generate accurate responses based on extensive knowledge bases.
5. Dastra
- Founding Year: 2020
- Employee Range: 11-50
- Location: France
- Signal Strength: Very Strong
- What they do: Dastra develops a platform that provides records of processing activities (ROPA) and data subject requests (DSR) to streamline data management and compliance. The platform supports data breach management and privacy impact assessments (PIA). It further supports customizable workflows, APIs, and connectors. This benefits data protection officers, chief information security officers, and risk management teams by providing a unified solution for data protection.
Also Read: Web Scraping for AI Training: Can it Comply with GDPR?
6. Privya
- Founding Year: 2021
- Employee Range: 11-50
- Location: Israel
- Signal Strength: Very Strong
- What they do: Privya offers an AI-powered platform to scan source code to detect, map, and analyze personal data flows. It identifies and mitigates privacy risks by providing real-time compliance with regulations like GDPR and CPRA. The platform’s agentless, non-intrusive deployment also integrates into continuous integration (CI)/continuous deployment (CD) pipelines. This allows developers and data protection officers to integrate security-first coding to improve visibility into data flows and personal data usage.
7. CipherStash
- Founding Year: 2020
- Employee Range: 11-50
- Location: Australia
- Signal Strength: Very Strong
- What they do: CipherStash enhances data protection with its encryption and access control solutions for Postgres databases. The company’s CipherStash Proxy audits queries and data access events to provide detailed logs for security analysis. It also employs row-level encryption to protect data during computations and supports JSON web token (JWT) authentication for precise user access identification. The platform’s ZeroKMS system further offers key management per record to increase security with atomic decryption operations and immediate key revocation. CipherStash’s solutions benefit organizations needing stronger data security.
8. Syntheticus
- Founding Year: 2021
- Employee Range: 2-10
- Location: Switzerland
- Signal Strength: Very Strong
- What they do: Syntheticus generates high-quality synthetic data to ensure data compliance and privacy in AI, software testing, and analytics applications. The company’s Syntheticus Suite combines a core platform and functional modules to enable data ingestion, orchestration, and deployment. It leverages generative AI and differential privacy to create data that mimics real-world datasets, maintaining confidentiality and statistical accuracy. It supports various data types like tabular, text, image, and multi-modal datasets. The platform enables finance, healthcare, and insurance organizations to overcome data scarcity and regulatory constraints.
9. DESILO
- Founding Year: 2020
- Employee Range: 11-50
- Location: South Korea
- Signal Strength: Very Strong
- What they do: DESILO leverages privacy-enhancing technologies (PET) to facilitate safe and efficient data analysis. The company’s DESILO Data Clean Room utilizes homomorphic encryption to protect data while enabling real-time analytics across data sources. The platform supports data analysts and providers by offering minimum aggregation thresholds and customizable security settings. DESILO’s proprietary cryptographic library, Liberate.FHE, further enhances computational speed and security benefitting industries like finance, healthcare, and real estate.
Also Read: Quantum Computing: Friend or Foe to Cybersecurity?
10. Edgeless Systems
- Founding Year: 2020
- Employee Range: 11-50
- Location: Germany
- Signal Strength: Very Strong
- What they do: Edgeless Systems ensures secure data processing in cloud environments. The company’s Constellation solution encrypts entire clusters to safeguard data at rest, in transit, and during processing. It integrates with existing Kubernetes tools to offer high availability and scalability while maintaining data integrity through cryptographic certificates. The company’s Contrast solution manages confidential containers by adding runtime encryption and remote attestation while its Continuum AI protects AI model weights and user prompts.
