Compare Antimatter vs. Teleskope

Customers demand assurance regarding the location of their data and the identity of those who can access it at every stage of the process. The task of duplicating infrastructure and modifying applications to meet these demands can be both expensive and a significant burden for development and DevOps teams alike. Instead, you can satisfy customer expectations for data security without altering your existing infrastructure or code by implementing cryptographic solutions. This approach allows you to provide verifiable assurances about the accessibility and authorized users of customer data. Antimatter seamlessly integrates with your unchanged containers and operates across all major cloud platforms, requiring no additional engineering effort. Utilizing secure enclaves available on leading cloud services, it encrypts customer data transparently—whether it's in transit, stored, or even while being processed. By easily fulfilling customer residency, governance, and tenancy requirements, you can accelerate sales, penetrate new markets, and finalize previously unattainable deals. We envision a future where both organizations and individuals maintain control over their data, irrespective of its location or the applications it resides in. This commitment to data sovereignty paves the way for a more secure and trust-driven digital landscape.

Teleskope is an innovative platform for data protection that aims to streamline the processes of data security, privacy, and compliance on a large scale within enterprises. It works by consistently discovering and cataloging data from a variety of sources, including cloud services, SaaS applications, structured datasets, and unstructured information, while accurately classifying more than 150 types of entities such as personally identifiable information (PII), protected health information (PHI), payment card industry data (PCI), and secrets with remarkable precision and efficiency. After identifying sensitive data, Teleskope facilitates automated remediation processes, which include redaction, masking, encryption, deletion, and access adjustments, all while seamlessly integrating into developer workflows through its API-first approach and offering deployment options as SaaS, managed services, or self-hosted solutions. Furthermore, the platform incorporates preventative measures, integrating within software development life cycle (SDLC) pipelines to prevent sensitive data from being introduced into production environments, ensure safe adoption of AI technologies without utilizing unverified sensitive information, manage data subject rights requests (DSARs), and align its findings with regulatory standards such as GDPR, CPRA, PCI-DSS, ISO, NIST, and CIS. This comprehensive approach to data protection not only enhances security but also fosters a culture of compliance and accountability within organizations.